{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T03:48:55Z","timestamp":1784000935123,"version":"3.55.0"},"reference-count":130,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:00:00Z","timestamp":1641513600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:00:00Z","timestamp":1641513600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100008036","name":"Faculty of Arts and Sciences","doi-asserted-by":"publisher","award":["Harvard Mind Brain Behavior Interfaculty Initiative"],"award-info":[{"award-number":["Harvard Mind Brain Behavior Interfaculty Initiative"]}],"id":[{"id":"10.13039\/100008036","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002418","name":"Intel Corporation","doi-asserted-by":"publisher","award":["Intel Neuromorphic Research Community"],"award-info":[{"award-number":["Intel Neuromorphic Research Community"]}],"id":[{"id":"10.13039\/100002418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002418","name":"Intel Corporation","doi-asserted-by":"publisher","award":["Intel Neuromorphic Research Community"],"award-info":[{"award-number":["Intel Neuromorphic Research Community"]}],"id":[{"id":"10.13039\/100002418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["1UF1NS111697-0"],"award-info":[{"award-number":["1UF1NS111697-0"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["National Institute of Neurological Disorders and Stroke"],"award-info":[{"award-number":["National Institute of Neurological Disorders and Stroke"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","award":["Google Faculty Research Award"],"award-info":[{"award-number":["Google Faculty Research Award"]}],"id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","award":["Google Faculty Research Award"],"award-info":[{"award-number":["Google Faculty Research Award"]}],"id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Biol Cybern"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s00422-021-00916-3","type":"journal-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:03:47Z","timestamp":1641513827000},"page":"253-266","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Drifting neuronal representations: Bug or feature?"],"prefix":"10.1007","volume":"116","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2001-7515","authenticated-orcid":false,"given":"Paul","family":"Masset","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8012-5687","authenticated-orcid":false,"given":"Shanshan","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4060-1738","authenticated-orcid":false,"given":"Jacob A.","family":"Zavatone-Veth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,7]]},"reference":[{"key":"916_CR1","doi-asserted-by":"publisher","unstructured":"Adesnik H, Abdeladim L (2021) Probing neural codes with two-photon holographic optogenetics. Nat Neurosci pp 1\u201311. https:\/\/doi.org\/10.1038\/s41593-021-00902-9","DOI":"10.1038\/s41593-021-00902-9"},{"issue":"5","key":"916_CR2","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1038\/nmeth.2434","volume":"10","author":"MB Ahrens","year":"2013","unstructured":"Ahrens MB, Orger MB, Robson DN et al (2013) Whole-brain functional imaging at cellular resolution using light-sheet microscopy. Nat Methods 10(5):413\u2013420. https:\/\/doi.org\/10.1038\/nmeth.2434","journal-title":"Nat Methods"},{"key":"916_CR3","unstructured":"Aitchison L (2020) Why bigger is not always better: on finite and infinite neural networks. In: III HD, Singh A (eds) Proceedings of the 37th International Conference on Machine Learning, Proceedings of Machine Learning Research, vol 119. PMLR, pp 156\u2013164"},{"key":"916_CR4","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.conb.2017.08.010","volume":"46","author":"L Aitchison","year":"2017","unstructured":"Aitchison L, Lengyel M (2017) With or without you: predictive coding and Bayesian inference in the brain. Curr Opin Neurobiol 46:219\u2013227. https:\/\/doi.org\/10.1016\/j.conb.2017.08.010","journal-title":"Curr Opin Neurobiol"},{"issue":"4","key":"916_CR5","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1038\/s41593-021-00809-5","volume":"24","author":"L Aitchison","year":"2021","unstructured":"Aitchison L, Jegminat J, Menendez JA et al (2021) Synaptic plasticity as Bayesian inference. Nat Neurosci 24(4):565\u2013571. https:\/\/doi.org\/10.1038\/s41593-021-00809-5","journal-title":"Nat Neurosci"},{"issue":"5","key":"916_CR6","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1162\/neco.1994.6.5.957","volume":"6","author":"DJ Amit","year":"1994","unstructured":"Amit DJ, Fusi S (1994) Learning in neural networks with material synapses. Neural Comput 6(5):957\u2013982. https:\/\/doi.org\/10.1162\/neco.1994.6.5.957","journal-title":"Neural Comput"},{"key":"916_CR7","doi-asserted-by":"publisher","unstructured":"de Andrade Costa A, Copelli M, Kinouchi O (2015) Can dynamical synapses produce true self-organized criticality? Journal of Statistical Mechanics: Theory and Experiment 2015(6):P06004. https:\/\/doi.org\/10.1088\/1742-5468\/2015\/06\/P06004","DOI":"10.1088\/1742-5468\/2015\/06\/P06004"},{"issue":"19","key":"916_CR8","doi-asserted-by":"publisher","first-page":"8633","DOI":"10.1371\/journal.pcbi.1005582","volume":"22","author":"A Angelucci","year":"2002","unstructured":"Angelucci A, Levitt JB, Walton EJ et al (2002) Circuits for local and global signal integration in primary visual cortex. J Neurosci 22(19):8633\u20138646. https:\/\/doi.org\/10.1371\/journal.pcbi.1005582","journal-title":"J Neurosci"},{"issue":"7562","key":"916_CR9","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1038\/nature14467","volume":"523","author":"A Attardo","year":"2015","unstructured":"Attardo A, Fitzgerald JE, Schnitzer MJ (2015) Impermanence of dendritic spines in live adult CA1 hippocampus. Nature 523(7562):592\u2013596. https:\/\/doi.org\/10.1038\/nature14467","journal-title":"Nature"},{"issue":"1","key":"916_CR10","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0893-6080(89)90014-2","volume":"2","author":"P Baldi","year":"1989","unstructured":"Baldi P, Hornik K (1989) Neural networks and principal component analysis: Learning from examples without local minima. Neural Netw 2(1):53\u201358. https:\/\/doi.org\/10.1016\/0893-6080(89)90014-2","journal-title":"Neural Netw"},{"key":"916_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2021.05.029","author":"A Banerjee","year":"2021","unstructured":"Banerjee A, Egger R, Long MA (2021) Using focal cooling to link neural dynamics and behavior. Neuron. https:\/\/doi.org\/10.1016\/j.neuron.2021.05.029","journal-title":"Neuron"},{"issue":"6639","key":"916_CR12","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1038\/40859","volume":"388","author":"CA Barnes","year":"1997","unstructured":"Barnes CA, Suster MS, Shen J et al (1997) Multistability of cognitive maps in the hippocampus of old rats. Nature 388(6639):272\u2013275. https:\/\/doi.org\/10.1038\/40859","journal-title":"Nature"},{"issue":"e12","key":"916_CR13","doi-asserted-by":"publisher","first-page":"454","DOI":"10.7554\/eLife.12454","volume":"5","author":"DG Barrett","year":"2016","unstructured":"Barrett DG, Deneve S, Machens CK (2016) Optimal compensation for neuron loss. eLife 5(e12):454. https:\/\/doi.org\/10.7554\/eLife.12454","journal-title":"eLife"},{"key":"916_CR14","doi-asserted-by":"publisher","first-page":"163","DOI":"10.3389\/fphys.2012.00163","volume":"3","author":"JM Beggs","year":"2012","unstructured":"Beggs JM, Timme N (2012) Being critical of criticality in the brain. Front Physiol 3:163. https:\/\/doi.org\/10.3389\/fphys.2012.00163","journal-title":"Front Physiol"},{"key":"916_CR15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002211","author":"L Buesing","year":"2011","unstructured":"Buesing L, Bill J, Nessler B et al (2011) Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons. PLoS Comput Biol. https:\/\/doi.org\/10.1371\/journal.pcbi.1002211","journal-title":"PLoS Comput Biol"},{"key":"916_CR16","doi-asserted-by":"publisher","unstructured":"Calaim N, Dehmelt FA, Gon\u00e7alves PJ, et\u00a0al. (2020) Robust coding with spiking networks: a geometric perspective. bioRxiv https:\/\/doi.org\/10.1101\/2020.06.15.148338","DOI":"10.1101\/2020.06.15.148338"},{"issue":"1","key":"916_CR17","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1038\/nrn3136","volume":"13","author":"M Carandini","year":"2012","unstructured":"Carandini M, Heeger DJ (2012) Normalization as a canonical neural computation. Nat Rev Neurosci 13(1):51\u201362. https:\/\/doi.org\/10.1038\/nrn3136","journal-title":"Nat Rev Neurosci"},{"key":"916_CR18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1005582","author":"M Chalk","year":"2017","unstructured":"Chalk M, Masset P, Deneve S et al (2017) Sensory noise predicts divisive reshaping of receptive fields. PLoS Comput Biol. https:\/\/doi.org\/10.1371\/journal.pcbi.1005582","journal-title":"PLoS Comput Biol"},{"key":"916_CR19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0248940","author":"M Chalk","year":"2021","unstructured":"Chalk M, Tkacik G, Marre O (2021) Inferring the function performed by a recurrent neural network. Plos ONE. https:\/\/doi.org\/10.1371\/journal.pone.0248940","journal-title":"Plos ONE"},{"issue":"40","key":"916_CR20","doi-asserted-by":"publisher","first-page":"10742","DOI":"10.1523\/JNEUROSCI.0959-07.2007","volume":"27","author":"CA Chestek","year":"2007","unstructured":"Chestek CA, Batista AP, Santhanam G et al (2007) Single-neuron stability during repeated reaching in macaque premotor cortex. J Neurosci 27(40):10742\u201310750. https:\/\/doi.org\/10.1523\/JNEUROSCI.0959-07.2007","journal-title":"J Neurosci"},{"key":"916_CR21","doi-asserted-by":"publisher","unstructured":"Chung JE, Magland JF, Barnett AH et al (2017) A fully automated approach to spike sorting. Neuron 95(6):1381-1394 https:\/\/doi.org\/10.1016\/j.neuron.2017.08.030","DOI":"10.1016\/j.neuron.2017.08.030"},{"issue":"1","key":"916_CR22","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neuron.2018.11.002","volume":"101","author":"JE Chung","year":"2019","unstructured":"Chung JE, Joo HR, Fan JL et al (2019) High-density, long-lasting, and multi-region electrophysiological recordings using polymer electrode arrays. Neuron 101(1):21\u201331. https:\/\/doi.org\/10.1016\/j.neuron.2018.11.002","journal-title":"Neuron"},{"issue":"1715","key":"916_CR23","doi-asserted-by":"publisher","first-page":"20160161","DOI":"10.1098\/rstb.2016.0161","volume":"372","author":"C Clopath","year":"2017","unstructured":"Clopath C, Bonhoeffer T, H\u00fcbener M et al (2017) Variance and invariance of neuronal long-term representations. Philos Trans R Soc B: Biol Sci 372(1715):20160161. https:\/\/doi.org\/10.1098\/rstb.2016.0161","journal-title":"Philos Trans R Soc B: Biol Sci"},{"key":"916_CR24","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevX.9.021062","author":"A Das","year":"2019","unstructured":"Das A, Levina A (2019) Critical neuronal models with relaxed timescale separation. Phys Rev X. https:\/\/doi.org\/10.1103\/PhysRevX.9.021062","journal-title":"Phys Rev X"},{"key":"916_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2021.07.062","author":"D Deitch","year":"2021","unstructured":"Deitch D, Rubin A, Ziv Y (2021) Representational drift in the mouse visual cortex. Curr Biol. https:\/\/doi.org\/10.1016\/j.cub.2021.07.062","journal-title":"Curr Biol"},{"issue":"5","key":"916_CR26","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1016\/j.neuron.2017.05.016","volume":"94","author":"S Den\u00e8ve","year":"2017","unstructured":"Den\u00e8ve S, Alemi A, Bourdoukan R (2017) The brain as an efficient and robust adaptive learner. Neuron 94(5):969\u2013977. https:\/\/doi.org\/10.1016\/j.neuron.2017.05.016","journal-title":"Neuron"},{"key":"916_CR27","doi-asserted-by":"publisher","unstructured":"Dhawale AK, Poddar R, Wolff SB, et\u00a0al. (2017) Automated long-term recording and analysis of neural activity in behaving animals. eLife 6:e27702 https:\/\/doi.org\/10.7554\/eLife.27702","DOI":"10.7554\/eLife.27702"},{"issue":"2","key":"916_CR28","doi-asserted-by":"publisher","first-page":"1331","DOI":"10.1152\/jn.90920.2008","volume":"102","author":"AS Dickey","year":"2009","unstructured":"Dickey AS, Suminski A, Amit Y et al (2009) Single-unit stability using chronically implanted multielectrode arrays. J Neurophysiol 102(2):1331\u20131339. https:\/\/doi.org\/10.1152\/jn.90920.2008","journal-title":"J Neurophysiol"},{"key":"916_CR29","doi-asserted-by":"publisher","unstructured":"Dimitriadis G, Neto JP, Aarts A, et\u00a0al. (2018) Why not record from every channel with a CMOS scanning probe? bioRxiv https:\/\/doi.org\/10.1101\/275818","DOI":"10.1101\/275818"},{"issue":"5","key":"916_CR30","doi-asserted-by":"publisher","first-page":"986","DOI":"10.1016\/j.cell.2017.07.021","volume":"170","author":"LN Driscoll","year":"2017","unstructured":"Driscoll LN, Pettit NL, Minderer M et al (2017) Dynamic reorganization of neuronal activity patterns in parietal cortex. Cell 170(5):986\u2013999. https:\/\/doi.org\/10.1016\/j.cell.2017.07.021","journal-title":"Cell"},{"key":"916_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2021.07.011","author":"RB Ebitz","year":"2021","unstructured":"Ebitz RB, Hayden BY (2021) The population doctrine in cognitive neuroscience. Neuron. https:\/\/doi.org\/10.1016\/j.neuron.2021.07.011","journal-title":"Neuron"},{"issue":"9","key":"916_CR32","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1038\/s41593-020-0671-1","volume":"23","author":"R Echeveste","year":"2020","unstructured":"Echeveste R, Aitchison L, Hennequin G et al (2020) Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nat Neurosci 23(9):1138\u20131149. https:\/\/doi.org\/10.1038\/s41593-020-0671-1","journal-title":"Nat Neurosci"},{"issue":"3","key":"916_CR33","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.tics.2010.01.003","volume":"14","author":"J Fiser","year":"2010","unstructured":"Fiser J, Berkes P, Orb\u00e1n G et al (2010) Statistically optimal perception and learning: from behavior to neural representations. Trends Cogn Sci 14(3):119\u2013130. https:\/\/doi.org\/10.1016\/j.tics.2010.01.003","journal-title":"Trends Cogn Sci"},{"issue":"4","key":"916_CR34","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/s1364-6613(99)01294-2","volume":"3","author":"RM French","year":"1999","unstructured":"French RM (1999) Catastrophic forgetting in connectionist networks. Trends Cogn Sci 3(4):128\u2013135. https:\/\/doi.org\/10.1016\/s1364-6613(99)01294-2","journal-title":"Trends Cogn Sci"},{"key":"916_CR35","unstructured":"Fusi S (2021) Memory capacity of neural network models. arXiv preprint arXiv:2108.07839"},{"issue":"4","key":"916_CR36","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1038\/nn1859","volume":"10","author":"S Fusi","year":"2007","unstructured":"Fusi S, Abbott L (2007) Limits on the memory storage capacity of bounded synapses. Nat Neurosci 10(4):485\u2013493. https:\/\/doi.org\/10.1038\/nn1859","journal-title":"Nat Neurosci"},{"key":"916_CR37","doi-asserted-by":"publisher","unstructured":"Fusi S, Senn W (2006) Eluding oblivion with smart stochastic selection of synaptic updates. Chaos: An Interdisciplinary Journal of Nonlinear Science 16(2):026112. https:\/\/doi.org\/10.1063\/1.2213587","DOI":"10.1063\/1.2213587"},{"issue":"5","key":"916_CR38","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1016\/j.neuron.2017.05.025","volume":"94","author":"JA Gallego","year":"2017","unstructured":"Gallego JA, Perich MG, Miller LE et al (2017) Neural manifolds for the control of movement. Neuron 94(5):978\u2013984. https:\/\/doi.org\/10.1016\/j.neuron.2017.05.025","journal-title":"Neuron"},{"issue":"1","key":"916_CR39","doi-asserted-by":"publisher","first-page":"4233","DOI":"10.1038\/s41467-018-06560-z","volume":"9","author":"JA Gallego","year":"2018","unstructured":"Gallego JA, Perich MG, Naufel SN et al (2018) Cortical population activity within a preserved neural manifold underlies multiple motor behaviors. Nat Commun 9(1):4233. https:\/\/doi.org\/10.1038\/s41467-018-06560-z","journal-title":"Nat Commun"},{"issue":"2","key":"916_CR40","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1038\/s41593-019-0555-4","volume":"23","author":"JA Gallego","year":"2020","unstructured":"Gallego JA, Perich MG, Chowdhury RH et al (2020) Long-term stability of cortical population dynamics underlying consistent behavior. Nat Neurosci 23(2):260\u2013270. https:\/\/doi.org\/10.1038\/s41593-019-0555-4","journal-title":"Nat Neurosci"},{"key":"916_CR41","doi-asserted-by":"publisher","unstructured":"Gao P, Trautmann E, Yu B, et\u00a0al (2017) A theory of multineuronal dimensionality, dynamics and measurement. bioRxiv p 214262. https:\/\/doi.org\/10.1101\/214262","DOI":"10.1101\/214262"},{"key":"916_CR42","volume-title":"Handbook of stochastic methods","author":"CW Gardiner","year":"1985","unstructured":"Gardiner CW (1985) Handbook of stochastic methods, vol 3. Springer, Berlin"},{"issue":"1","key":"916_CR43","doi-asserted-by":"publisher","first-page":"012115","DOI":"10.1103\/PhysRevE.100.012115","volume":"100","author":"M Geiger","year":"2019","unstructured":"Geiger M, Spigler S, d\u2019Ascoli S et al (2019) Jamming transition as a paradigm to understand the loss landscape of deep neural networks. Phys Rev E 100(1):012115. https:\/\/doi.org\/10.1103\/PhysRevE.100.012115","journal-title":"Phys Rev E"},{"key":"916_CR44","doi-asserted-by":"publisher","unstructured":"Giovannucci A, Friedrich J, Gunn P, et\u00a0al (2019) Caiman an open source tool for scalable calcium imaging data analysis. eLife 8:e38173. https:\/\/doi.org\/10.7554\/eLife.38173","DOI":"10.7554\/eLife.38173"},{"issue":"3","key":"916_CR45","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1523\/JNEUROSCI.3387-05.2006","volume":"26","author":"CM Glaze","year":"2006","unstructured":"Glaze CM, Troyer TW (2006) Temporal structure in zebra finch song: implications for motor coding. J Neurosci 26(3):991\u20131005. https:\/\/doi.org\/10.1523\/JNEUROSCI.3387-05.2006","journal-title":"J Neurosci"},{"key":"916_CR46","doi-asserted-by":"publisher","unstructured":"Goaillard JM, Marder E (2021) Ion channel degeneracy, variability, and covariation in neuron and circuit resilience. Annual Review of Neuroscience 44. https:\/\/doi.org\/10.1146\/annurev-neuro-092920-121538","DOI":"10.1146\/annurev-neuro-092920-121538"},{"key":"916_CR47","unstructured":"Goldt S, Krzakala F, Zdeborov\u00e1 L, et\u00a0al (2021) Bayesian reconstruction of memories stored in neural networks from their connectivity. arXiv preprint arXiv:2105.07416"},{"issue":"6455","key":"916_CR48","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1126\/science.aav9199","volume":"365","author":"WG Gonzalez","year":"2019","unstructured":"Gonzalez WG, Zhang H, Harutyunyan A et al (2019) Persistence of neuronal representations through time and damage in the hippocampus. Science 365(6455):821\u2013825. https:\/\/doi.org\/10.1126\/science.aav9199","journal-title":"Science"},{"issue":"6902","key":"916_CR49","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1038\/nature00974","volume":"419","author":"RH Hahnloser","year":"2002","unstructured":"Hahnloser RH, Kozhevnikov AA, Fee MS (2002) An ultra-sparse code underlies the generation of neural sequences in a songbird. Nature 419(6902):65\u201370. https:\/\/doi.org\/10.1038\/nature00974","journal-title":"Nature"},{"issue":"7392","key":"916_CR50","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1038\/nature10918","volume":"484","author":"CD Harvey","year":"2012","unstructured":"Harvey CD, Coen P, Tank DW (2012) Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature 484(7392):62\u201368. https:\/\/doi.org\/10.1038\/nature10918","journal-title":"Nature"},{"issue":"29","key":"916_CR51","doi-asserted-by":"publisher","first-page":"E6871","DOI":"10.1073\/pnas.1803274115","volume":"115","author":"N Hiratani","year":"2018","unstructured":"Hiratani N, Fukai T (2018) Redundancy in synaptic connections enables neurons to learn optimally. Proc Natl Acad Sci 115(29):E6871\u2013E6879. https:\/\/doi.org\/10.1073\/pnas.1803274115","journal-title":"Proc Natl Acad Sci"},{"key":"916_CR52","volume-title":"Eye, Brain, and Vision","author":"D Hubel","year":"1995","unstructured":"Hubel D (1995) Eye, Brain, and Vision. Scientific American Library series, Henry Holt and Company"},{"issue":"7743","key":"916_CR53","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1038\/s41586-019-0919-7","volume":"566","author":"HK Inagaki","year":"2019","unstructured":"Inagaki HK, Fontolan L, Romani S et al (2019) Discrete attractor dynamics underlies persistent activity in the frontal cortex. Nature 566(7743):212\u2013217. https:\/\/doi.org\/10.1038\/s41586-019-0919-7","journal-title":"Nature"},{"key":"916_CR54","unstructured":"Izmailov P, Vikram S, Hoffman MD, et\u00a0al (2021) What are Bayesian neural network posteriors really like? In: Meila M, Zhang T (eds) Proceedings of the 38th International Conference on Machine Learning, Proceedings of Machine Learning Research, vol 139. PMLR, pp 4629\u20134640"},{"issue":"5","key":"916_CR55","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1016\/j.neuron.2017.02.019","volume":"93","author":"M Jazayeri","year":"2017","unstructured":"Jazayeri M, Afraz A (2017) Navigating the neural space in search of the neural code. Neuron 93(5):1003\u20131014. https:\/\/doi.org\/10.1016\/j.neuron.2017.02.019","journal-title":"Neuron"},{"key":"916_CR56","doi-asserted-by":"publisher","unstructured":"Jensen KT, Harpaz NK, Dhawale AK, et\u00a0al (2021) Long-term stability of neural activity in the motor system. bioRxiv https:\/\/doi.org\/10.1101\/2021.10.27.465945","DOI":"10.1101\/2021.10.27.465945"},{"key":"916_CR57","doi-asserted-by":"publisher","unstructured":"Juavinett AL, Bekheet G, Churchland AK (2019) Chronically implanted neuropixels probes enable high-yield recordings in freely moving mice. eLife 8. https:\/\/doi.org\/10.7554\/eLife.47188","DOI":"10.7554\/eLife.47188"},{"key":"916_CR58","doi-asserted-by":"publisher","unstructured":"Jun JJ, Mitelut C, Lai C, et\u00a0al (2017) Real-time spike sorting platform for high-density extracellular probes with ground-truth validation and drift correction. bioRxiv https:\/\/doi.org\/10.1101\/101030","DOI":"10.1101\/101030"},{"issue":"7679","key":"916_CR59","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1038\/nature24636","volume":"551","author":"JJ Jun","year":"2017","unstructured":"Jun JJ, Steinmetz NA, Siegle JH et al (2017) Fully integrated silicon probes for high-density recording of neural activity. Nature 551(7679):232\u2013236. https:\/\/doi.org\/10.1038\/nature24636","journal-title":"Nature"},{"key":"916_CR60","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1004485","author":"D Kappel","year":"2015","unstructured":"Kappel D, Habenschuss S, Legenstein R et al (2015) Network plasticity as Bayesian inference. PLoS Comput Biol. https:\/\/doi.org\/10.1371\/journal.pcbi.1004485","journal-title":"PLoS Comput Biol"},{"issue":"6","key":"916_CR61","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1016\/j.neuron.2018.05.017","volume":"98","author":"KA Katlowitz","year":"2018","unstructured":"Katlowitz KA, Picardo MA, Long MA (2018) Stable sequential activity underlying the maintenance of a precisely executed skilled behavior. Neuron 98(6):1133\u20131140. https:\/\/doi.org\/10.1016\/j.neuron.2018.05.017","journal-title":"Neuron"},{"issue":"3","key":"916_CR62","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/nn.3643","volume":"17","author":"MT Kaufman","year":"2014","unstructured":"Kaufman MT, Churchland MM, Ryu SI et al (2014) Cortical activity in the null space: permitting preparation without movement. Nat Neurosci 17(3):440\u2013448. https:\/\/doi.org\/10.1038\/nn.3643","journal-title":"Nat Neurosci"},{"key":"916_CR63","unstructured":"Kawaguchi K (2016) Deep learning without poor local minima. In: Lee D, Sugiyama M, Luxburg U et al (eds) Advances in Neural Information Processing Systems, vol 29. Curran Associates Inc"},{"issue":"2","key":"916_CR64","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/s0896-6273(04)00192-8","volume":"42","author":"CG Kentros","year":"2004","unstructured":"Kentros CG, Agnihotri NT, Streater S et al (2004) Increased attention to spatial context increases both place field stability and spatial memory. Neuron 42(2):283\u2013295. https:\/\/doi.org\/10.1016\/s0896-6273(04)00192-8","journal-title":"Neuron"},{"issue":"13","key":"916_CR65","doi-asserted-by":"publisher","first-page":"3521","DOI":"10.1073\/pnas.1611835114","volume":"114","author":"J Kirkpatrick","year":"2017","unstructured":"Kirkpatrick J, Pascanu R, Rabinowitz N et al (2017) Overcoming catastrophic forgetting in neural networks. Proc Natl Acad Sci 114(13):3521\u20133526. https:\/\/doi.org\/10.1073\/pnas.1611835114","journal-title":"Proc Natl Acad Sci"},{"key":"916_CR66","doi-asserted-by":"publisher","DOI":"10.1038\/s41583-021-00502-3","author":"N Kriegeskorte","year":"2021","unstructured":"Kriegeskorte N, Wei XX (2021) Neural tuning and representational geometry. Nat Rev Neurosci. https:\/\/doi.org\/10.1038\/s41583-021-00502-3","journal-title":"Nat Rev Neurosci"},{"issue":"4","key":"916_CR67","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1080\/00207179308923034","volume":"58","author":"R Kulhav\u00fd","year":"1993","unstructured":"Kulhav\u00fd R, Zarrop MB (1993) On a general concept of forgetting. Int J Control 58(4):905\u2013924. https:\/\/doi.org\/10.1080\/00207179308923034","journal-title":"Int J Control"},{"issue":"37","key":"916_CR68","doi-asserted-by":"publisher","first-page":"13029","DOI":"10.1073\/pnas.0506347102","volume":"102","author":"C Kwon","year":"2005","unstructured":"Kwon C, Ao P, Thouless DJ (2005) Structure of stochastic dynamics near fixed points. Proceed Natl Acad Sci 102(37):13029\u201313033. https:\/\/doi.org\/10.1073\/pnas.0506347102","journal-title":"Proceed Natl Acad Sci"},{"issue":"3","key":"916_CR69","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/j.cell.2020.09.024","volume":"183","author":"JS Lee","year":"2020","unstructured":"Lee JS, Briguglio JJ, Cohen JD et al (2020) The statistical structure of the hippocampal code for space as a function of time, context, and value. Cell 183(3):620\u2013635. https:\/\/doi.org\/10.1016\/j.cell.2020.09.024","journal-title":"Cell"},{"issue":"5","key":"916_CR70","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1016\/j.neuron.2017.01.027","volume":"93","author":"M Li","year":"2017","unstructured":"Li M, Liu F, Jiang H et al (2017) Long-term two-photon imaging in awake macaque monkey. Neuron 93(5):1049\u20131057. https:\/\/doi.org\/10.1016\/j.neuron.2017.01.027","journal-title":"Neuron"},{"issue":"7600","key":"916_CR71","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1038\/nature17643","volume":"532","author":"N Li","year":"2016","unstructured":"Li N, Daie K, Svoboda K et al (2016) Robust neuronal dynamics in premotor cortex during motor planning. Nature 532(7600):459\u2013464. https:\/\/doi.org\/10.1038\/nature17643","journal-title":"Nature"},{"issue":"12","key":"916_CR72","doi-asserted-by":"publisher","first-page":"1665","DOI":"10.1038\/nn.4405","volume":"19","author":"WA Liberti","year":"2016","unstructured":"Liberti WA, Markowitz JE, Perkins LN et al (2016) Unstable neurons underlie a stable learned behavior. Nat Neurosci 19(12):1665\u20131671. https:\/\/doi.org\/10.1038\/nn.4405","journal-title":"Nat Neurosci"},{"key":"916_CR73","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.conb.2018.09.002","volume":"54","author":"M Llera-Montero","year":"2019","unstructured":"Llera-Montero M, Sacramento J, Costa RP (2019) Computational roles of plastic probabilistic synapses. Curr Opin Neurobiol 54:90\u201397. https:\/\/doi.org\/10.1016\/j.conb.2018.09.002","journal-title":"Curr Opin Neurobiol"},{"issue":"7322","key":"916_CR74","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1038\/nature09514","volume":"468","author":"MA Long","year":"2010","unstructured":"Long MA, Jin DZ, Fee MS (2010) Support for a synaptic chain model of neuronal sequence generation. Nature 468(7322):394\u2013399. https:\/\/doi.org\/10.1038\/nature09514","journal-title":"Nature"},{"key":"916_CR75","doi-asserted-by":"publisher","unstructured":"Luo TZ, Bondy AG, Gupta D, et\u00a0al (2020) An approach for long-term, multi-probe neuropixels recordings in unrestrained rats. eLife 9. https:\/\/doi.org\/10.7554\/eLife.59716","DOI":"10.7554\/eLife.59716"},{"issue":"47","key":"916_CR76","doi-asserted-by":"publisher","first-page":"19462","DOI":"10.1073\/pnas.1214107109","volume":"109","author":"EA Mankin","year":"2012","unstructured":"Mankin EA, Sparks FT, Slayyeh B et al (2012) Neuronal code for extended time in the hippocampus. Proceed Natl Acad Sci 109(47):19462\u201319467. https:\/\/doi.org\/10.1073\/pnas.1214107109","journal-title":"Proceed Natl Acad Sci"},{"key":"916_CR77","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.conb.2014.10.012","volume":"31","author":"E Marder","year":"2015","unstructured":"Marder E, Goeritz ML, Otopalik AG (2015) Robust circuit rhythms in small circuits arise from variable circuit components and mechanisms. Curr Opin Neurobiol 31:156\u2013163. https:\/\/doi.org\/10.1016\/j.conb.2014.10.012","journal-title":"Curr Opin Neurobiol"},{"issue":"1","key":"916_CR78","doi-asserted-by":"publisher","first-page":"5169","DOI":"10.1038\/s41467-021-25825-8","volume":"12","author":"TD Marks","year":"2021","unstructured":"Marks TD, Goard MJ (2021) Stimulus-dependent representational drift in primary visual cortex. Nat Commun 12(1):5169. https:\/\/doi.org\/10.1038\/s41467-021-25825-8","journal-title":"Nat Commun"},{"key":"916_CR79","doi-asserted-by":"publisher","unstructured":"Mau W, Hasselmo ME, Cai DJ (2020) The brain in motion: How ensemble fluidity drives memory-updating and flexibility. eLife 9:e63550. https:\/\/doi.org\/10.7554\/eLife.63550","DOI":"10.7554\/eLife.63550"},{"key":"916_CR80","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.conb.2017.06.006","volume":"46","author":"G Mongillo","year":"2017","unstructured":"Mongillo G, Rumpel S, Loewenstein Y (2017) Intrinsic volatility of synaptic connections\u2013a challenge to the synaptic trace theory of memory. Curr Opin Neurobiol 46:7\u201313. https:\/\/doi.org\/10.1016\/j.conb.2017.06.006","journal-title":"Curr Opin Neurobiol"},{"key":"916_CR81","doi-asserted-by":"publisher","unstructured":"Musk E, Neuralink, (2019) An integrated brain-machine interface platform with thousands of channels. J Med Internet Res. https:\/\/doi.org\/10.2196\/16194","DOI":"10.2196\/16194"},{"key":"916_CR82","unstructured":"Nayebi A, Srivastava S, Ganguli S, et\u00a0al (2020) Identifying learning rules from neural network observables. arXiv preprint arXiv:2010.11765"},{"key":"916_CR83","unstructured":"Neal RM (1993) Bayesian learning via stochastic dynamics. In: Advances in Neural Information Processing Systems, pp 475\u2013482"},{"key":"916_CR84","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14394-6","volume-title":"Stochastic differential equations","author":"B \u00d8ksendal","year":"2003","unstructured":"\u00d8ksendal B (2003) Stochastic differential equations. Springer, Berlin"},{"key":"916_CR85","doi-asserted-by":"publisher","unstructured":"Opper M (1999) A Bayesian approach to on-line learning. In: Saad D (ed) On-Line Learning in Neural Networks. Cambridge University Press, Publications of the Newton Institute, p 363-378, https:\/\/doi.org\/10.1017\/CBO9780511569920.017","DOI":"10.1017\/CBO9780511569920.017"},{"issue":"2","key":"916_CR86","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1016\/j.neuron.2016.09.038","volume":"92","author":"G Orb\u00e1n","year":"2016","unstructured":"Orb\u00e1n G, Berkes P, Fiser J et al (2016) Neural variability and sampling-based probabilistic representations in the visual cortex. Neuron 92(2):530\u2013543. https:\/\/doi.org\/10.1016\/j.neuron.2016.09.038","journal-title":"Neuron"},{"key":"916_CR87","doi-asserted-by":"publisher","unstructured":"Pachitariu M, Steinmetz NA, Kadir S, et\u00a0al (2016) Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels. bioRxiv https:\/\/doi.org\/10.1101\/061481","DOI":"10.1101\/061481"},{"key":"916_CR88","doi-asserted-by":"publisher","unstructured":"Pachitariu M, Stringer C, Dipoppa M, et\u00a0al (2017) Suite2p: beyond 10,000 neurons with standard two-photon microscopy. bioRxiv https:\/\/doi.org\/10.1101\/061507","DOI":"10.1101\/061507"},{"issue":"10","key":"916_CR89","doi-asserted-by":"publisher","first-page":"L617","DOI":"10.1088\/0305-4470\/19\/10\/011","volume":"19","author":"G Parisi","year":"1986","unstructured":"Parisi G (1986) A memory which forgets. J Phys A: Math Gen 19(10):L617. https:\/\/doi.org\/10.1088\/0305-4470\/19\/10\/011","journal-title":"J Phys A: Math Gen"},{"issue":"7815","key":"916_CR90","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1038\/s41586-020-2451-1","volume":"583","author":"SL Pashkovski","year":"2020","unstructured":"Pashkovski SL, Iurilli G, Brann D et al (2020) Structure and flexibility in cortical representations of odour space. Nature 583(7815):253\u2013258. https:\/\/doi.org\/10.1038\/s41586-020-2451-1","journal-title":"Nature"},{"issue":"1","key":"916_CR91","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1162\/neco_a_01018","volume":"30","author":"C Pehlevan","year":"2017","unstructured":"Pehlevan C, Sengupta AM, Chklovskii DB (2017) Why do similarity matching objectives lead to Hebbian\/anti-Hebbian networks? Neural Comput 30(1):84\u2013124. https:\/\/doi.org\/10.1162\/neco_a_01018","journal-title":"Neural Comput"},{"issue":"1","key":"916_CR92","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.neuron.2018.05.038","volume":"99","author":"U Pereira","year":"2018","unstructured":"Pereira U, Brunel N (2018) Attractor dynamics in networks with learning rules inferred from in vivo data. Neuron 99(1):227\u2013238. https:\/\/doi.org\/10.1016\/j.neuron.2018.05.038","journal-title":"Neuron"},{"issue":"e64","key":"916_CR93","doi-asserted-by":"publisher","first-page":"449","DOI":"10.7554\/eLife.64449","volume":"10","author":"J P\u00e9rez-Ortega","year":"2021","unstructured":"P\u00e9rez-Ortega J, Alejandre-Garc\u00eda T, Yuste R (2021) Long-term stability of cortical ensembles. eLife 10(e64):449. https:\/\/doi.org\/10.7554\/eLife.64449","journal-title":"eLife"},{"issue":"2","key":"916_CR94","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.neuron.2015.11.037","volume":"89","author":"EA Pnevmatikakis","year":"2016","unstructured":"Pnevmatikakis EA, Soudry D, Gao Y et al (2016) Simultaneous denoising, deconvolution, and demixing of calcium imaging data. Neuron 89(2):285\u2013299. https:\/\/doi.org\/10.1016\/j.neuron.2015.11.037","journal-title":"Neuron"},{"key":"916_CR95","doi-asserted-by":"publisher","unstructured":"Qin S, Farashahi S, Lipshutz D, et\u00a0al (2021) Coordinated drift of receptive fields during noisy representation learning. bioRxiv https:\/\/doi.org\/10.1101\/2021.08.30.458264","DOI":"10.1101\/2021.08.30.458264"},{"issue":"1","key":"916_CR96","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1038\/4580","volume":"2","author":"RP Rao","year":"1999","unstructured":"Rao RP, Ballard DH (1999) Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat Neurosci 2(1):79\u201387. https:\/\/doi.org\/10.1038\/4580","journal-title":"Nat Neurosci"},{"issue":"4","key":"916_CR97","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1016\/j.neuron.2007.04.030","volume":"54","author":"U Rokni","year":"2007","unstructured":"Rokni U, Richardson AG, Bizzi E et al (2007) Motor learning with unstable neural representations. Neuron 54(4):653\u2013666. https:\/\/doi.org\/10.1016\/j.neuron.2007.04.030","journal-title":"Neuron"},{"key":"916_CR98","doi-asserted-by":"publisher","unstructured":"Roland B, Deneux T, Franks KM, et\u00a0al (2017) Odor identity coding by distributed ensembles of neurons in the mouse olfactory cortex. eLife 6:e26337. https:\/\/doi.org\/10.7554\/eLife.26337","DOI":"10.7554\/eLife.26337"},{"key":"916_CR99","doi-asserted-by":"publisher","unstructured":"Rule ME, O\u2019Leary T (2021) Self-healing neural codes: Hebbian and homeostatic mechanisms can track evolving neural representations. bioRxiv https:\/\/doi.org\/10.1101\/2021.03.08.433413","DOI":"10.1101\/2021.03.08.433413"},{"key":"916_CR100","doi-asserted-by":"publisher","unstructured":"Rule ME, O\u2019Leary T, Harvey CD (2019) Causes and consequences of representational drift. Current Opinion in Neurobiology 58:141\u2013147. https:\/\/doi.org\/10.1016\/j.conb.2019.08.005","DOI":"10.1016\/j.conb.2019.08.005"},{"key":"916_CR101","doi-asserted-by":"publisher","unstructured":"Rule ME, Loback AR, Raman D, et\u00a0al (2020) Stable task information from an unstable neural population. eLife 9:e51121. https:\/\/doi.org\/10.7554\/eLife.51121","DOI":"10.7554\/eLife.51121"},{"key":"916_CR102","unstructured":"Savin C, Deneve S (2014) Spatio-temporal representations of uncertainty in spiking neural networks. In: Advances in Neural Information Processing Systems, pp 2024\u20132032"},{"key":"916_CR103","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.conb.2019.02.002","volume":"55","author":"S Saxena","year":"2019","unstructured":"Saxena S, Cunningham JP (2019) Towards the neural population doctrine. Curr Opin Neurobiol 55:103\u2013111. https:\/\/doi.org\/10.1016\/j.conb.2019.02.002","journal-title":"Curr Opin Neurobiol"},{"key":"916_CR104","doi-asserted-by":"publisher","unstructured":"Saxena S, Kinsella I, Musall S, et\u00a0al (2020) Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data. PLoS Computational Biology 16(4):e1007791. https:\/\/doi.org\/10.1371\/journal.pcbi.1007791","DOI":"10.1371\/journal.pcbi.1007791"},{"key":"916_CR105","doi-asserted-by":"publisher","unstructured":"Schoonover CE, Ohashi SN, Axel R et al (2021) Representational drift in primary olfactory cortex. Nature. https:\/\/doi.org\/10.1038\/s41586-021-03628-7","DOI":"10.1038\/s41586-021-03628-7"},{"key":"916_CR106","doi-asserted-by":"crossref","unstructured":"Sengupta AM, Pehlevan C, Tepper M et al (2018) Manifold-tiling localized receptive fields are optimal in similarity-preserving neural networks. In: Bengio S, Wallach H, Larochelle H et al (eds) Advances in Neural Information Processing Systems, vol 31. Curran Associates Inc","DOI":"10.1101\/338947"},{"key":"916_CR107","doi-asserted-by":"publisher","unstructured":"Sheintuch L, Geva N, Baumer H et al (2020) Multiple maps of the same spatial context can stably coexist in the mouse hippocampus. Current Biology. https:\/\/doi.org\/10.1016\/j.cub.2020.02.018","DOI":"10.1016\/j.cub.2020.02.018"},{"key":"916_CR108","doi-asserted-by":"publisher","unstructured":"Sofroniew NJ, Flickinger D, King J, et\u00a0al (2016) A large field of view two-photon mesoscope with subcellular resolution for in vivo imaging. eLife 5:e14472. https:\/\/doi.org\/10.7554\/eLife.14472","DOI":"10.7554\/eLife.14472"},{"issue":"1","key":"916_CR109","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.neuron.2017.05.023","volume":"95","author":"SD Stavisky","year":"2017","unstructured":"Stavisky SD, Kao JC, Ryu SI et al (2017) Motor cortical visuomotor feedback activity is initially isolated from downstream targets in output-null neural state space dimensions. Neuron 95(1):195\u2013208. https:\/\/doi.org\/10.1016\/j.neuron.2017.05.023","journal-title":"Neuron"},{"key":"916_CR110","doi-asserted-by":"publisher","unstructured":"Steinmetz NA, Aydin C, Lebedeva A, et\u00a0al (2021) Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science 372(6539):eabf4588. https:\/\/doi.org\/10.1126\/science.abf4588","DOI":"10.1126\/science.abf4588"},{"issue":"6","key":"916_CR111","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1016\/j.neuron.2009.09.005","volume":"63","author":"DD Stettler","year":"2009","unstructured":"Stettler DD, Axel R (2009) Representations of odor in the piriform cortex. Neuron 63(6):854\u2013864. https:\/\/doi.org\/10.1016\/j.neuron.2009.09.005","journal-title":"Neuron"},{"issue":"2","key":"916_CR112","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1152\/jn.00626.2010","volume":"106","author":"IH Stevenson","year":"2011","unstructured":"Stevenson IH, Cherian A, London BM et al (2011) Statistical assessment of the stability of neural movement representations. J Neurophysiol 106(2):764\u2013774. https:\/\/doi.org\/10.1152\/jn.00626.2010","journal-title":"J Neurophysiol"},{"issue":"6","key":"916_CR113","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.neuron.2006.05.019","volume":"50","author":"K Svoboda","year":"2006","unstructured":"Svoboda K, Yasuda R (2006) Principles of two-photon excitation microscopy and its applications to neuroscience. Neuron 50(6):823\u2013839. https:\/\/doi.org\/10.1016\/j.neuron.2006.05.019","journal-title":"Neuron"},{"issue":"2","key":"916_CR114","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/0006-8993(90)90555-p","volume":"509","author":"L Thompson","year":"1990","unstructured":"Thompson L, Best P (1990) Long-term stability of the place-field activity of single units recorded from the dorsal hippocampus of freely behaving rats. Brain Res 509(2):299\u2013308. https:\/\/doi.org\/10.1016\/0006-8993(90)90555-p","journal-title":"Brain Res"},{"key":"916_CR115","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.conb.2015.07.009","volume":"35","author":"S Tonegawa","year":"2015","unstructured":"Tonegawa S, Pignatelli M, Roy DS et al (2015) Memory engram storage and retrieval. Curr Opin Neurobiol 35:101\u2013109. https:\/\/doi.org\/10.1016\/j.conb.2015.07.009","journal-title":"Curr Opin Neurobiol"},{"issue":"e59","key":"916_CR116","doi-asserted-by":"publisher","first-page":"598","DOI":"10.3791\/59598","volume":"148","author":"AF Ulivi","year":"2019","unstructured":"Ulivi AF, Castello-Waldow TP, Weston G et al (2019) Longitudinal two-photon imaging of dorsal hippocampal CA1 in live mice. J Vis Exp 148(e59):598. https:\/\/doi.org\/10.3791\/59598","journal-title":"J Vis Exp"},{"key":"916_CR117","unstructured":"Urai AE, Doiron B, Leifer AM, et\u00a0al (2021) Large-scale neural recordings call for new insights to link brain and behavior. arXiv preprint arXiv:210314662https:\/\/arxiv.org\/abs\/arXiv:2103.14662"},{"issue":"3","key":"916_CR118","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1038\/s41593-019-0576-z","volume":"23","author":"AA Wanner","year":"2020","unstructured":"Wanner AA, Friedrich RW (2020) Whitening of odor representations by the wiring diagram of the olfactory bulb. Nat Neurosci 23(3):433\u2013442. https:\/\/doi.org\/10.1038\/s41593-019-0576-z","journal-title":"Nat Neurosci"},{"key":"916_CR119","unstructured":"Welling M, Teh YW (2011) Bayesian learning via stochastic gradient Langevin dynamics. In: Proceedings of the 28th International Conference on Machine Learning, pp 681\u2013688"},{"key":"916_CR120","unstructured":"Wilson AG, Izmailov P (2020) Bayesian deep learning and a probabilistic perspective of generalization. In: Larochelle H, Ranzato M, Hadsell R, et\u00a0al (eds) Advances in Neural Information Processing Systems, vol\u00a033. Curran Associates, Inc., pp 4697\u20134708"},{"key":"916_CR121","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-25437-2","author":"J Xia","year":"2021","unstructured":"Xia J, Marks TD, Goard MJ et al (2021) Stable representation of a naturalistic movie emerges from episodic activity with gain variability. Nat Commun. https:\/\/doi.org\/10.1038\/s41467-021-25437-2","journal-title":"Nat Commun"},{"key":"916_CR122","unstructured":"Yang G (2019) Scaling limits of wide neural networks with weight sharing. arXiv preprint arXiv:1902.04760"},{"key":"916_CR123","doi-asserted-by":"publisher","unstructured":"Yger P, Spampinato GL, Esposito E, et\u00a0al (2018) A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo. eLife 7. https:\/\/doi.org\/10.7554\/eLife.34518","DOI":"10.7554\/eLife.34518"},{"issue":"e27","key":"916_CR124","doi-asserted-by":"publisher","first-page":"119","DOI":"10.7554\/eLife.27119","volume":"6","author":"S Yu","year":"2017","unstructured":"Yu S, Ribeiro TL, Meisel C et al (2017) Maintained avalanche dynamics during task-induced changes of neuronal activity in nonhuman primates. Elife 6(e27):119. https:\/\/doi.org\/10.7554\/eLife.27119","journal-title":"Elife"},{"issue":"8","key":"916_CR125","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1038\/nrn3962","volume":"16","author":"R Yuste","year":"2015","unstructured":"Yuste R (2015) From the neuron doctrine to neural networks. Nat Rev Neurosci 16(8):487\u2013497. https:\/\/doi.org\/10.1038\/nrn3962","journal-title":"Nat Rev Neurosci"},{"key":"916_CR126","doi-asserted-by":"crossref","unstructured":"Zavatone-Veth JA, Pehlevan C (2021) Exact marginal prior distributions of finite Bayesian neural networks. In: Ranzato M, Beygelzimer A, Liang P et al (eds) Advances in Neural Information Processing Systems, vol 34. Curran Associates Inc","DOI":"10.1109\/IEEECONF53345.2021.9723137"},{"key":"916_CR127","doi-asserted-by":"crossref","unstructured":"Zavatone-Veth JA, Canatar A, Ruben BS et al (2021) Asymptotics of representation learning in finite Bayesian neural networks. In: Ranzato M, Beygelzimer A, Liang P et al (eds) Advances in Neural Information Processing Systems, vol 34. Curran Associates Inc","DOI":"10.1088\/1742-5468\/ac98a6"},{"key":"916_CR128","unstructured":"Zenke F, Poole B, Ganguli S (2017) Continual learning through synaptic intelligence. In: International Conference on Machine Learning, PMLR, pp 3987\u20133995"},{"key":"916_CR129","doi-asserted-by":"publisher","unstructured":"Zeraati R, Priesemann V, Levina A (2021) Self-organization toward criticality by synaptic plasticity. Front Phys 9:103. https:\/\/doi.org\/10.3389\/fphy.2021.619661","DOI":"10.3389\/fphy.2021.619661"},{"issue":"3","key":"916_CR130","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1038\/nn.3329","volume":"16","author":"Y Ziv","year":"2013","unstructured":"Ziv Y, Burns LD, Cocker ED et al (2013) Long-term dynamics of CA1 hippocampal place codes. Nat Neurosci 16(3):264. https:\/\/doi.org\/10.1038\/nn.3329","journal-title":"Nat Neurosci"}],"container-title":["Biological Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00422-021-00916-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00422-021-00916-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00422-021-00916-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T20:56:30Z","timestamp":1726433790000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00422-021-00916-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,7]]},"references-count":130,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["916"],"URL":"https:\/\/doi.org\/10.1007\/s00422-021-00916-3","relation":{},"ISSN":["1432-0770"],"issn-type":[{"value":"1432-0770","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,7]]},"assertion":[{"value":"25 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no other competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}