{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:50:48Z","timestamp":1767340248576,"version":"3.37.3"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T00:00:00Z","timestamp":1617753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T00:00:00Z","timestamp":1617753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Comput Neurosci"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>An inverse procedure is developed and tested to recover functional and structural information from global signals of brains activity. The method assumes a leaky-integrate and fire model with excitatory and inhibitory neurons, coupled via a directed network. Neurons are endowed with a heterogenous current value, which sets their associated dynamical regime. By making use of a heterogenous mean-field approximation, the method seeks to reconstructing from global activity patterns the distribution of in-coming degrees, for both excitatory and inhibitory neurons, as well as the distribution of the assigned currents. The proposed inverse scheme is first validated against synthetic data. Then, time-lapse acquisitions of a zebrafish larva recorded with a two-photon light sheet microscope are used as an input to the reconstruction algorithm. A power law distribution of the in-coming connectivity of the excitatory neurons is found. Local degree distributions are also computed by segmenting the whole brain in sub-regions traced from annotated atlas.<\/jats:p>","DOI":"10.1007\/s10827-020-00774-1","type":"journal-article","created":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T08:03:57Z","timestamp":1617782637000},"page":"159-174","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging"],"prefix":"10.1007","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4931-0651","authenticated-orcid":false,"given":"Lorenzo","family":"Chicchi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3504-7039","authenticated-orcid":false,"given":"Gloria","family":"Cecchini","sequence":"additional","affiliation":[]},{"given":"Ihusan","family":"Adam","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"de Vito","sequence":"additional","affiliation":[]},{"given":"Roberto","family":"Livi","sequence":"additional","affiliation":[]},{"given":"Francesco Saverio","family":"Pavone","sequence":"additional","affiliation":[]},{"given":"Ludovico","family":"Silvestri","sequence":"additional","affiliation":[]},{"given":"Lapo","family":"Turrini","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Vanzi","sequence":"additional","affiliation":[]},{"given":"Duccio","family":"Fanelli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,7]]},"reference":[{"key":"774_CR1","doi-asserted-by":"publisher","first-page":"110235","DOI":"10.1016\/j.chaos.2020.110235","volume":"140","author":"I Adam","year":"2020","unstructured":"Adam, I., Cecchini, G., Fanelli, D., Kreuz, T., Livi, R., di Volo, M., Allegra Mascaro, A.L., Conti, E., Scaglione, A., Silvestri, L., & Pavone, F.S. (2020). Inferring network structure and local dynamics from neuronal patterns with quenched disorder. Chaos, Solitons and Fractals, 140, 110235. https:\/\/doi.org\/10.1016\/j.chaos.2020.110235.","journal-title":"Chaos, Solitons and Fractals"},{"issue":"5","key":"774_CR2","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1140\/epjb\/e2019-90700-3","volume":"92","author":"I Adam","year":"2019","unstructured":"Adam, I., Fanelli, D., Carletti, T., & Innocenti, G. (2019). Reactive explorers to unravel network topology. The European Physical Journal B, 92(5), 99. https:\/\/doi.org\/10.1140\/epjb\/e2019-90700-3.","journal-title":"The European Physical Journal B"},{"issue":"16","key":"774_CR3","doi-asserted-by":"publisher","first-page":"2407","DOI":"10.1016\/j.cub.2017.06.056","volume":"27","author":"L Avitan","year":"2017","unstructured":"Avitan, L., Pujic, Z., M\u00f6lter, J., Van De Poll, M., Sun, B., Teng, H., Amor, R., Scott, E.K., & Goodhill, G.J. (2017). Spontaneous Activity in the Zebrafish Tectum Reorganizes over Development and Is Influenced by Visual Experience. Current Biology, 27(16), 2407. https:\/\/doi.org\/10.1016\/j.cub.2017.06.056.","journal-title":"Current Biology"},{"issue":"3","key":"774_CR4","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1113\/jphysiol.1971.sp009641","volume":"218","author":"P Baker","year":"1971","unstructured":"Baker, P., Hodgkin, A., & Ridgway, E. (1971). Depolarization and calcium entry in squid giant axons. The Journal of Physiology, 218(3), 709.","journal-title":"The Journal of Physiology"},{"key":"774_CR5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511791383","volume-title":"Dynamical processes on complex networks","author":"A Barrat","year":"2008","unstructured":"Barrat, A., Barthelemy, M., & Vespignani, A. (2008). Dynamical processes on complex networks. Cambridge: Cambridge University Press."},{"issue":"1","key":"774_CR6","doi-asserted-by":"publisher","first-page":"15858","DOI":"10.1038\/s41598-019-50946-y","volume":"9","author":"D Berger","year":"2019","unstructured":"Berger, D., Varriale, E., van Kessenich, L.M., Herrmann, H.J., & de Arcangelis, L. (2019). Three cooperative mechanisms required for recovery after brain damage. Scientific Reports, 9(1), 15858. https:\/\/doi.org\/10.1038\/s41598-019-50946-y.","journal-title":"Scientific Reports"},{"key":"774_CR7","doi-asserted-by":"publisher","first-page":"4336","DOI":"10.1038\/srep04336","volume":"4","author":"R Burioni","year":"2014","unstructured":"Burioni, R., Casartelli, M., di Volo, M., Livi, R., & Vezzani, A. (2014). Average synaptic activity and neural networks topology: a global inverse problem. Scientific Reports, 4, 4336. https:\/\/doi.org\/10.1038\/srep04336.","journal-title":"Scientific Reports"},{"issue":"7458","key":"774_CR8","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1038\/nature12354","volume":"499","author":"TW Chen","year":"2013","unstructured":"Chen, T.W., Wardill, T.J., Sun, Y., Pulver, S.R., Renninger, S.L., Baohan, A., Schreiter, E.R., Kerr, R.A., Orger, M.B., Jayaraman, V., Looger, L.L., Svoboda, K., & Kim, D.S. (2013). Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature, 499(7458), 295. https:\/\/doi.org\/10.1038\/nature12354.","journal-title":"Nature"},{"issue":"33","key":"774_CR9","doi-asserted-by":"publisher","first-page":"14058","DOI":"10.1073\/pnas.0906705106","volume":"106","author":"S Cocco","year":"2009","unstructured":"Cocco, S., Leibler, S., & Monasson, R. (2009). Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods. Proceedings of the National Academy of Sciences, 106(33), 14058.","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"774_CR10","doi-asserted-by":"publisher","first-page":"23176","DOI":"10.1038\/srep23176","volume":"6","author":"N Dehghani","year":"2016","unstructured":"Dehghani, N., Peyrache, A., Telenczuk, B., Le Van Quyen, M., Halgren, E., Cash, S.S., Hatsopoulos, N.G., & Destexhe, A. (2016). Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex. Scientific Reports, 6, 23176. https:\/\/doi.org\/10.1038\/srep23176.","journal-title":"Scientific Reports"},{"issue":"4","key":"774_CR11","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1103\/RevModPhys.80.1275","volume":"80","author":"SN Dorogovtsev","year":"2008","unstructured":"Dorogovtsev, S.N., Goltsev, A.V., & Mendes, J.F. (2008). Critical phenomena in complex networks. Reviews of Modern Physics, 80(4), 1275.","journal-title":"Reviews of Modern Physics"},{"issue":"1","key":"774_CR12","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.conb.2010.01.002","volume":"20","author":"L Garcia-Campmany","year":"2010","unstructured":"Garcia-Campmany, L., Stam, F.J., & Goulding, M. (2010). From circuits to behaviour: motor networks in vertebrates. Current Opinion in Neurobiology, 20(1), 116.","journal-title":"Current Opinion in Neurobiology"},{"issue":"1","key":"774_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41467-019-13484-9","volume":"10","author":"C Gebhardt","year":"2019","unstructured":"Gebhardt, C., Auer, T.O., Henriques, P.M., Rajan, G., Duroure, K., Bianco, I.H., & Del Bene, F. (2019). An interhemispheric neural circuit allowing binocular integration in the optic tectum. Nature Communications, 10(1), 1.","journal-title":"Nature Communications"},{"issue":"5","key":"774_CR14","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1016\/j.neuron.2012.02.011","volume":"73","author":"C Grienberger","year":"2012","unstructured":"Grienberger, C., & Konnerth, A. (2012). Imaging calcium in neurons. Neuron, 73(5), 862.","journal-title":"Neuron"},{"key":"774_CR15","doi-asserted-by":"publisher","first-page":"53","DOI":"10.3389\/fncir.2013.00053","volume":"7","author":"L Heap","year":"2013","unstructured":"Heap, L., Goh, C.C., Kassahn, K.S., & Scott, E.K. (2013). Cerebellar output in zebrafish: an analysis of spatial patterns and topography in eurydendroid cell projections. Frontiers in Neural Circuits, 7, 53.","journal-title":"Frontiers in Neural Circuits"},{"key":"774_CR16","volume-title":"Neuromodulation: the biochemical control of neuronal excitability","author":"LK Kaczmarek","year":"1987","unstructured":"Kaczmarek, L.K., & Levitan, I.B. (1987). Neuromodulation: the biochemical control of neuronal excitability. Oxford: Oxford University Press."},{"key":"774_CR17","doi-asserted-by":"crossref","unstructured":"Kaslin, J., & Brand, M. (2016). The zebrafish cerebellum. In Essentials of Cerebellum and Cerebellar Disorders (Springer), pp 411\u2013421.","DOI":"10.1007\/978-3-319-24551-5_56"},{"issue":"3","key":"774_CR18","doi-asserted-by":"publisher","first-page":"1164","DOI":"10.1073\/pnas.1012185108","volume":"108","author":"A Kinkhabwala","year":"2011","unstructured":"Kinkhabwala, A., Riley, M., Koyama, M., Monen, J., Satou, C., Kimura, Y., Higashijima, S.I., & Fetcho, J. (2011). A structural and functional ground plan for neurons in the hindbrain of zebrafish. Proceedings of the National Academy of Sciences, 108(3), 1164.","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"1","key":"774_CR19","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neuron.2019.04.034","volume":"103","author":"M Kunst","year":"2019","unstructured":"Kunst, M., Laurell, E., Mokayes, N., Kramer, A., Kubo, F., Fernandes, A.M., F\u00f6rster, D., Dal Maschio, M., & Baier, H. (2019). A cellular-resolution atlas of the larval zebrafish brain. Neuron, 103(1), 21.","journal-title":"Neuron"},{"key":"774_CR20","doi-asserted-by":"publisher","first-page":"64","DOI":"10.3389\/fnins.2012.00064","volume":"6","author":"T Mueller","year":"2012","unstructured":"Mueller, T. (2012). What is the thalamus in zebrafish?. Frontiers in Neuroscience, 6, 64.","journal-title":"Frontiers in Neuroscience"},{"key":"774_CR21","doi-asserted-by":"publisher","first-page":"315","DOI":"10.3389\/fncel.2018.00315","volume":"12","author":"MC M\u00fcllenbroich","year":"2018","unstructured":"M\u00fcllenbroich, M.C., Turrini, L., Silvestri, L., Alterini, T., Gheisari, A., Tiso, N., Vanzi, F., Sacconi, L., & Pavone, F.S. (2018). Bessel beam illumination reduces random and systematic errors in quantitative functional studies using light-sheet microscopy. Frontiers in Cellular Neuroscience, 12, 315.","journal-title":"Frontiers in Cellular Neuroscience"},{"issue":"4","key":"774_CR22","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1038\/nn.2518","volume":"13","author":"EA Naumann","year":"2010","unstructured":"Naumann, E.A., Kampff, A.R., Prober, D.A., Schier, A.F., & Engert, F. (2010). Monitoring neural activity with bioluminescence during natural behavior. Nature Neuroscience, 13(4), 513.","journal-title":"Nature Neuroscience"},{"issue":"2","key":"774_CR23","doi-asserted-by":"publisher","first-page":"101\u2014104","DOI":"10.1016\/0304-3940(95)11677-O","volume":"193","author":"T Neumann-Haefelin","year":"1995","unstructured":"Neumann-Haefelin, T., Hagemann, G., & Witte, O. (1995). Cellular correlates of neuronal hyperexcitability in the vicinity of photochemically induced cortical infarcts in rats in vitro. Neuroscience Letters, 193 (2), 101\u2014104. https:\/\/doi.org\/10.1016\/0304-3940(95)11677-o.","journal-title":"Neuroscience Letters"},{"issue":"2-4","key":"774_CR24","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.brainresbull.2007.10.058","volume":"75","author":"RG Northcutt","year":"2008","unstructured":"Northcutt, R.G. (2008). Forebrain evolution in bony fishes. Brain Research Bulletin, 75(2-4), 191.","journal-title":"Brain Research Bulletin"},{"issue":"14","key":"774_CR25","doi-asserted-by":"publisher","first-page":"3200","DOI":"10.1103\/PhysRevLett.86.3200","volume":"86","author":"R Pastor-Satorras","year":"2001","unstructured":"Pastor-Satorras, R., & Vespignani, A. (2001). Epidemic spreading in scale-free networks. Physical review letters, 86(14), 3200.","journal-title":"Physical review letters"},{"issue":"8","key":"774_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pcbi.1006381","volume":"14","author":"VP Pastore","year":"2018","unstructured":"Pastore, V.P., Massobrio, P., Godjoski, A., & Martinoia, S. (2018). Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings. PLOS Computational Biology, 14(8), 1. https:\/\/doi.org\/10.1371\/journal.pcbi.1006381.","journal-title":"PLOS Computational Biology"},{"issue":"11","key":"774_CR27","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1038\/nmeth.3581","volume":"12","author":"O Randlett","year":"2015","unstructured":"Randlett, O., Wee, C.L., Naumann, E.A., Nnaemeka, O., Schoppik, D., Fitzgerald, J.E., Portugues, R., Lacoste, A.M., Riegler, C., Engert, F., & et al. (2015). Whole-brain activity mapping onto a zebrafish brain atlas. Nature Methods, 12(11), 1039.","journal-title":"Nature Methods"},{"issue":"10","key":"774_CR28","doi-asserted-by":"publisher","first-page":"2407","DOI":"10.1016\/0306-4522(82)90204-4","volume":"7","author":"P Sajovic","year":"1982","unstructured":"Sajovic, P., & Levinthal, C. (1982). Visual cells of zebrafish optic tectum: mapping with small spots. Neuroscience, 7(10), 2407.","journal-title":"Neuroscience"},{"issue":"5","key":"774_CR29","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1097\/00004647-199609000-00014","volume":"16","author":"K Schiene","year":"1996","unstructured":"Schiene, K., Bruehl, C., Zilles, K., Qu, M., Hagemann, G., Kraemer, M., & Witte, O.W. (1996). Neuronal Hyperexcitability and Reduction of GABAA-Receptor Expression in the Surround of Cerebral Photothrombosis. Journal of Cerebral Blood Flow & Metabolism, 16(5), 906. 10.1097\/00004647-199609000-00014.","journal-title":"Journal of Cerebral Blood Flow & Metabolism"},{"issue":"7087","key":"774_CR30","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1038\/nature04701","volume":"440","author":"E Schneidman","year":"2006","unstructured":"Schneidman, E., Berry, M.J., Segev, R., & Bialek, W. (2006). Weak pairwise correlations imply strongly correlated network states in a neural population. Nature, 440(7087), 1007.","journal-title":"Nature"},{"issue":"20","key":"774_CR31","doi-asserted-by":"publisher","first-page":"8248","DOI":"10.1073\/pnas.1221214110","volume":"110","author":"SJ Tripathy","year":"2013","unstructured":"Tripathy, S.J., Padmanabhan, K., Gerkin, R.C., & Urban, N.N. (2013). Intermediate intrinsic diversity enhances neural population coding. Proceedings of the National Academy of Sciences, 110(20), 8248. https:\/\/doi.org\/10.1073\/pnas.1221214110.","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"2","key":"774_CR32","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1073\/pnas.94.2.719","volume":"94","author":"MV Tsodyks","year":"1997","unstructured":"Tsodyks, M.V., & Markram, H. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proceedings of the National Academy of Sciences, 94(2), 719.","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"4","key":"774_CR33","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1162\/089976698300017502","volume":"10","author":"M Tsodyks","year":"1998","unstructured":"Tsodyks, M., Pawelzik, K., & Markram, H. (1998). Neural networks with dynamic synapses. Neural Computation, 10(4), 821.","journal-title":"Neural Computation"},{"issue":"1","key":"774_CR34","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1523\/JNEUROSCI.20-01-j0003.2000","volume":"20","author":"M Tsodyks","year":"2000","unstructured":"Tsodyks, M., Uziel, A., & Markram, H. (2000). Synchrony generation in recurrent networks with frequency-dependent synapses. The Journal of Neuroscience, 20(1), 825.","journal-title":"The Journal of Neuroscience"},{"issue":"1","key":"774_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-017-03087-z","volume":"7","author":"L Turrini","year":"2017","unstructured":"Turrini, L., Fornetto, C., Marchetto, G., M\u00fcllenbroich, M., Tiso, N., Vettori, A., Resta, F., Masi, A., Mannaioni, G., Pavone, F., & et al. (2017). Optical mapping of neuronal activity during seizures in zebrafish. Scientific Reports, 7(1), 1.","journal-title":"Scientific Reports"},{"issue":"1","key":"774_CR36","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1038\/nphys2160","volume":"8","author":"A Vespignani","year":"2012","unstructured":"Vespignani, A. (2012). Modelling dynamical processes in complex socio-technical systems. Nature physics, 8(1), 32.","journal-title":"Nature physics"},{"issue":"9","key":"774_CR37","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1038\/nmeth.3040","volume":"11","author":"N Vladimirov","year":"2014","unstructured":"Vladimirov, N., Mu, Y., Kawashima, T., Bennett, D.V., Yang, C.T., Looger, L.L., Keller, P.J., Freeman, J., & Ahrens, M.B. (2014). Light-sheet functional imaging in fictively behaving zebrafish. Nature Methods, 11(9), 883.","journal-title":"Nature Methods"},{"issue":"1-2","key":"774_CR38","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.physa.2003.11.015","volume":"335","author":"V Volman","year":"2004","unstructured":"Volman, V., Baruchi, I., Persi, E., & Ben-Jacob, E. (2004). Generative modelling of regulated dynamical behavior in cultured neuronal networks. Physica A: Statistical Mechanics and its Applications, 335(1-2), 249.","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"key":"774_CR39","unstructured":"Westerfield, M. (2000). The zebrafish book: a guide for the laboratory use of zebrafish. http:\/\/zfin.org\/zf_info\/zfbook\/zfbk.html."},{"issue":"5","key":"774_CR40","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1038\/nmeth.3371","volume":"12","author":"S Wolf","year":"2015","unstructured":"Wolf, S., Supatto, W., Debr\u00e9geas, G., Mahou, P., Kruglik, S.G., Sintes, J.M., Beaurepaire, E., & Candelier, R. (2015). Whole-brain functional imaging with two-photon light-sheet microscopy. Nature Methods, 12(5), 379.","journal-title":"Nature Methods"},{"issue":"43","key":"774_CR41","doi-asserted-by":"publisher","first-page":"15205","DOI":"10.1523\/JNEUROSCI.1019-12.2012","volume":"32","author":"T Yokogawa","year":"2012","unstructured":"Yokogawa, T., Hannan, M.C., & Burgess, H.A. (2012). The dorsal raphe modulates sensory responsiveness during arousal in zebrafish. The Journal of Neuroscience, 32(43), 15205.","journal-title":"The Journal of Neuroscience"},{"key":"774_CR42","doi-asserted-by":"crossref","unstructured":"de Vito, G., Fornetto, C., Ricci, P., M\u00fcllenbroich, C., Sancataldo, G., Turrini, L., Mazzamuto, G., Tiso, N., Sacconi, L., Fanelli, D., & et al. (2020). Two-photon high-speed light-sheet volumetric imaging of brain activity during sleep in zebrafish larvae. In Neural Imaging and Sensing 2020 (International Society for Optics and Photonics), vol. 11226, p. 1122604.","DOI":"10.1117\/12.2542285"},{"issue":"8","key":"774_CR43","doi-asserted-by":"publisher","first-page":"4651","DOI":"10.1364\/BOE.396388","volume":"11","author":"G de Vito","year":"2020","unstructured":"de Vito, G., Ricci, P., Turrini, L., Gavryusev, V., Muellenbroich, M.C., Tiso, N., Vanzi, F., Silvestri, L., & Pavone, F.S. (2020). Effects of excitation light polarization on fluorescence emission in two-photon light-sheet microscopy. Biomedical Optics Express, 11(8), 4651\u20134665. https:\/\/doi.org\/10.1364\/BOE.396388. Publisher: Optical Society of America.","journal-title":"Biomedical Optics Express"},{"key":"774_CR44","doi-asserted-by":"crossref","unstructured":"de Vito, G., Turrini, L., Fornetto, C., Ricci, P., M\u00fcllenbroich, C., Sancataldo, G., Trabalzini, E., Mazzamuto, G., Tiso, N., Sacconi, L., & et al. (2020). Two-photon light-sheet microscopy for high-speed whole-brain functional imaging of zebrafish neuronal physiology and pathology. In Neurophotonics (International Society for Optics and Photonics), vol. 11360, p. 1136004.","DOI":"10.1117\/12.2560341"},{"issue":"2","key":"774_CR45","doi-asserted-by":"publisher","first-page":"022811","DOI":"10.1103\/PhysRevE.90.022811","volume":"90","author":"M di Volo","year":"2014","unstructured":"di Volo, M., Burioni, R., Casartelli, M., Livi, R., & Vezzani, A. (2014). Heterogeneous mean field for neural networks with short-term plasticity. Physical Review. E, statistical, nonlinear, and soft matter physics, 90(2), 022811. https:\/\/doi.org\/10.1103\/physreve.90.022811.","journal-title":"Physical Review. E, statistical, nonlinear, and soft matter physics"},{"issue":"1","key":"774_CR46","doi-asserted-by":"publisher","first-page":"012305","DOI":"10.1103\/PhysRevE.93.012305","volume":"93","author":"M di Volo","year":"2016","unstructured":"di Volo, M., Burioni, R., Casartelli, M., Livi, R., & Vezzani, A. (2016). Neural networks with excitatory and inhibitory components: Direct and inverse problems by a mean-field approach. Physical Review E, 93(1), 012305.","journal-title":"Physical Review E"}],"container-title":["Journal of Computational Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-020-00774-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10827-020-00774-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-020-00774-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T06:46:49Z","timestamp":1675147609000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10827-020-00774-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,7]]},"references-count":46,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["774"],"URL":"https:\/\/doi.org\/10.1007\/s10827-020-00774-1","relation":{},"ISSN":["0929-5313","1573-6873"],"issn-type":[{"type":"print","value":"0929-5313"},{"type":"electronic","value":"1573-6873"}],"subject":[],"published":{"date-parts":[[2021,4,7]]},"assertion":[{"value":"22 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 December 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2021","order":4,"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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interests"}}]}}