{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T12:16:46Z","timestamp":1765887406205,"version":"3.37.3"},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"4-5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biol Cybern"],"published-print":{"date-parts":[[2012,7]]},"DOI":"10.1007\/s00422-012-0490-x","type":"journal-article","created":{"date-parts":[[2012,5,11]],"date-time":"2012-05-11T03:53:43Z","timestamp":1336708423000},"page":"201-217","source":"Crossref","is-referenced-by-count":18,"title":["Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks"],"prefix":"10.1007","volume":"106","author":[{"given":"Sebastian","family":"Bitzer","sequence":"first","affiliation":[]},{"given":"Stefan J.","family":"Kiebel","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,5,12]]},"reference":[{"key":"490_CR1","first-page":"17","volume-title":"Advances in neural information processing systems","author":"C Archambeau","year":"2008","unstructured":"Archambeau C, Opper M, Shen Y, Cornford D, Shawe-Taylor J (2008) Variational inference for diffusion processes. In: Platt J, Koller D, Singer Y, Roweis S (eds) Advances in neural information processing systems. MIT Press, Cambridge, pp 17\u201324"},{"issue":"1521","key":"490_CR2","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.1098\/rstb.2008.0310","volume":"364","author":"M Bar","year":"2009","unstructured":"Bar M (2009) The proactive brain: memory for predictions. Philos Trans R Soc Lond B 364(1521): 1235\u20131243. doi: 10.1098\/rstb.2008.0310","journal-title":"Philos Trans R Soc Lond B"},{"key":"490_CR3","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1146\/annurev.psych.57.102904.190152","volume":"58","author":"R Blake","year":"2007","unstructured":"Blake R, Shiffrar M (2007) Perception of human motion. Annu Rev Psychol 58: 47\u201373. doi: 10.1146\/annurev.psych.57.102904.190152","journal-title":"Annu Rev Psychol"},{"issue":"2","key":"490_CR4","doi-asserted-by":"crossref","first-page":"e1001-080","DOI":"10.1371\/journal.pcbi.1001080","volume":"7","author":"M Boerlin","year":"2011","unstructured":"Boerlin M, Den\u00e8ve S (2011) Spike-based population coding and working memory. PLoS Comput Biol 7(2): e1001-080. doi: 10.1371\/journal.pcbi.1001080","journal-title":"PLoS Comput Biol"},{"issue":"2","key":"490_CR5","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1038\/nrn2558","volume":"10","author":"DV Buonomano","year":"2009","unstructured":"Buonomano DV, Maass W (2009) State-dependent computations: spatiotemporal processing in cortical networks. Nat Rev Neurosci 10(2): 113\u2013125. doi: 10.1038\/nrn2558","journal-title":"Nat Rev Neurosci"},{"key":"490_CR6","first-page":"7","volume":"142","author":"B Cessac","year":"2007","unstructured":"Cessac B, Samuelides M (2007) From neuron to neural networks dynamics. Eur Phys J 142: 7\u201388. doi: 10.1140\/epjst\/e2007-00058-2","journal-title":"Eur Phys J"},{"issue":"2","key":"490_CR7","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/72.279188","volume":"5","author":"JT Connor","year":"1994","unstructured":"Connor JT, Martin RD, Atlas LE (1994) Recurrent neural networks and robust time series prediction. IEEE Trans Neural Netw 5(2): 240\u2013254. doi: 10.1109\/72.279188","journal-title":"IEEE Trans Neural Netw"},{"issue":"21","key":"490_CR8","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1016\/j.physd.2009.08.002","volume":"238","author":"J Daunizeau","year":"2009","unstructured":"Daunizeau J, Friston K, Kiebel S (2009) Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models. Physica D 238(21): 2089\u20132118. doi: 10.1016\/j.physd.2009.08.002","journal-title":"Physica D"},{"issue":"2","key":"490_CR9","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1152\/physrev.00048.2009","volume":"91","author":"D Debanne","year":"2011","unstructured":"Debanne D, Campanac E, Bialowas A, Carlier E, Alcaraz G (2011) Axon physiology. Physiol Rev 91(2): 555\u2013602. doi: 0.1152\/physrev.00048.2009","journal-title":"Physiol Rev"},{"issue":"1","key":"490_CR10","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1162\/neco.2008.20.1.91","volume":"20","author":"S Den\u00e8ve","year":"2008","unstructured":"Den\u00e8ve S (2008) Bayesian spiking neurons i inference. Neural Comput 20(1): 91\u2013117. doi: 10.1162\/neco.2008.20.1.91","journal-title":"Neural Comput"},{"issue":"21","key":"490_CR11","doi-asserted-by":"crossref","first-page":"5744","DOI":"10.1523\/JNEUROSCI.3985-06.2007","volume":"27","author":"S Den\u00e8ve","year":"2007","unstructured":"Den\u00e8ve S, Duhamel JR, Pouget A (2007) Optimal sensorimotor integration in recurrent cortical networks a neural implementation of Kalman filters. J Neurosci 27(21): 5744\u20135756. doi: 10.1523\/JNEUROSCI.3985-06.2007","journal-title":"J Neurosci"},{"key":"490_CR12","first-page":"409","volume":"55","author":"A Doucet","year":"2003","unstructured":"Doucet A, Tadi\u0107 V (2003) Parameter estimation in general state-space models using particle methods. Ann Inst Stat Math 55: 409\u2013422. doi: 10.1007\/BF02530508","journal-title":"Ann Inst Stat Math"},{"volume-title":"Sequential Monte Carlo Methods in Practice","year":"2001","key":"490_CR13","unstructured":"Doucet, A, Freitas, N, Gordon, N (eds) (2001) Sequential Monte Carlo Methods in Practice. Springer, Berlin"},{"issue":"2","key":"490_CR14","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1207\/s15516709cog1402_1","volume":"14","author":"JL Elman","year":"1990","unstructured":"Elman JL (1990) Finding structure in time. Cogn Sci 14(2): 179\u2013211. doi: 10.1207\/s15516709cog1402_1","journal-title":"Cogn Sci"},{"issue":"2","key":"490_CR15","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1006\/nimg.2001.1044","volume":"16","author":"KJ Friston","year":"2002","unstructured":"Friston KJ (2002) Bayesian estimation of dynamical systems an application to fMRI. NeuroImage 16(2): 513\u2013530. doi: 10.1006\/nimg.2001.1044","journal-title":"NeuroImage"},{"issue":"1521","key":"490_CR16","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1098\/rstb.2008.0300","volume":"364","author":"K Friston","year":"2009","unstructured":"Friston K, Kiebel S (2009) Predictive coding under the free-energy principle. Philos Trans R Soc Lond B 364(1521): 1211\u20131221. doi: 10.1098\/rstb.2008.0300","journal-title":"Philos Trans R Soc Lond B"},{"issue":"2","key":"490_CR17","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1006\/nimg.2002.1090","volume":"16","author":"KJ Friston","year":"2002","unstructured":"Friston KJ, Penny W, Phillips C, Kiebel S, Hinton G, Ashburner J (2002) Classical and bayesian inference in neuroimaging theory. NeuroImage 16(2): 465\u2013483. doi: 10.1006\/nimg.2002.1090","journal-title":"NeuroImage"},{"issue":"4","key":"490_CR18","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/S1053-8119(03)00202-7","volume":"19","author":"KJ Friston","year":"2003","unstructured":"Friston KJ, Harrison L, Penny W (2003) Dynamic causal modelling. NeuroImage 19(4): 1273\u20131302","journal-title":"NeuroImage"},{"issue":"3","key":"490_CR19","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.neuroimage.2008.02.054","volume":"41","author":"K Friston","year":"2008","unstructured":"Friston K, Trujillo-Barreto N, Daunizeau J (2008) DEM A variational treatment of dynamic systems. NeuroImage 41(3): 849\u2013885. doi: 10.1016\/j.neuroimage.2008.02.054","journal-title":"NeuroImage"},{"key":"490_CR20","doi-asserted-by":"crossref","unstructured":"Friston K, Stephan K, Li B, Daunizeau J (2010) Generalised filtering. Math Probl Eng. Article ID 621, 670. doi: 10.1155\/2010\/621670","DOI":"10.1155\/2010\/621670"},{"key":"490_CR21","first-page":"507","volume-title":"Advances in neural information processing systems, vol 13","author":"Z Ghahramani","year":"2001","unstructured":"Ghahramani Z, Beal MJ (2001) Propagation algorithms for variational bayesian learning. In: Leen T, Dietterich T, Tresp V (eds) Advances in neural information processing systems, vol 13. MIT Press, Cambridge, pp 507\u2013513"},{"issue":"4","key":"490_CR22","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1093\/cercor\/bhh146","volume":"15","author":"FH Hamker","year":"2005","unstructured":"Hamker FH (2005) The reentry hypothesis the putative interaction of the frontal eye field ventrolateral prefrontal cortex and areas v4 it for attention and eye movement. Cereb Cortex 15(4): 431\u2013447. doi: 10.1093\/cercor\/bhh146","journal-title":"Cereb Cortex"},{"key":"490_CR23","unstructured":"Hammer B, Steil JJ (2002) Tutorial Perspectives on learning with rnns. In: Proceedings of European symposium on artificial neural networks (ESANN) d-side publi, pp 357\u2013368"},{"issue":"5786","key":"490_CR24","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton GE, Salakhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313(5786): 504\u2013507. doi: 10.1126\/science.1127647","journal-title":"Science"},{"key":"490_CR25","unstructured":"Jaeger H (2001) The \u201cecho state\u201d approach to analysing and training recurrent neural networks. GMD Report 148, German National Research Center for Information Technology"},{"issue":"3","key":"490_CR26","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.neunet.2007.04.016","volume":"20","author":"H Jaeger","year":"2007","unstructured":"Jaeger H, Lukosevicius M, Popovici D, Siewert U (2007) Optimization and applications of echo state networks with leaky-integrator neurons. Neural Netw 20(3): 335\u2013352. doi: 10.1016\/j.neunet.2007.04.016","journal-title":"Neural Netw"},{"key":"490_CR27","volume-title":"Stochastic processes and filtering theory","author":"AH Jazwinski","year":"1970","unstructured":"Jazwinski AH (1970) Stochastic processes and filtering theory. Academic Press, New York"},{"issue":"1","key":"490_CR28","doi-asserted-by":"crossref","first-page":"35","DOI":"10.3200\/JMBR.37.1.35-51","volume":"37","author":"VK Jirsa","year":"2005","unstructured":"Jirsa VK, Kelso JAS (2005) The excitator as a minimal model for the coordination dynamics of discrete and rhythmic movement generation. J Mot Behav 37(1): 35\u201351. doi: 10.3200\/JMBR.37.1.35-51","journal-title":"J Mot Behav"},{"key":"490_CR29","doi-asserted-by":"crossref","unstructured":"Kantas N, Doucet A, Singh SS, Maciejowski JM (2009) Overview of sequential monte carlo methods for parameter estimation on general state space models. In: Proceedings of the 15th IFAC symposium on system identification (SYSID), Saint-Malo, France","DOI":"10.3182\/20090706-3-FR-2004.00129"},{"key":"490_CR30","volume-title":"Dynamic patterns: the self-organization of brain and behavior","author":"JAS Kelso","year":"1995","unstructured":"Kelso JAS (1995) Dynamic patterns: the self-organization of brain and behavior. MIT Press, Cambridge"},{"issue":"4","key":"490_CR31","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/j.neuroimage.2005.12.055","volume":"30","author":"SJ Kiebel","year":"2006","unstructured":"Kiebel SJ, David O, Friston KJ (2006) Dynamic causal modelling of evoked responses in EEG\/MEG with lead field parameterization. NeuroImage 30(4): 1273\u20131284. doi: 10.1016\/j.neuroimage.2005.12.055","journal-title":"NeuroImage"},{"issue":"11","key":"490_CR32","doi-asserted-by":"crossref","first-page":"e1000","DOI":"10.1371\/journal.pcbi.1000209","volume":"4","author":"SJ Kiebel","year":"2008","unstructured":"Kiebel SJ, Daunizeau J, Friston KJ (2008) A hierarchy of time-scales and the brain. PLoS Comput Biol 4(11): e1000\u2013209. doi: 10.1371\/journal.pcbi.1000209","journal-title":"PLoS Comput Biol"},{"issue":"6","key":"490_CR33","doi-asserted-by":"crossref","first-page":"1866","DOI":"10.1002\/hbm.20775","volume":"30","author":"SJ Kiebel","year":"2009","unstructured":"Kiebel SJ, Garrido MI, Moran R, Chen CC, Friston KJ (2009a) Dynamic causal modeling for eeg and meg. Hum Brain Mapp 30(6): 1866\u20131876. doi: 10.1002\/hbm.20775","journal-title":"Hum Brain Mapp"},{"issue":"8","key":"490_CR34","doi-asserted-by":"crossref","first-page":"e1000","DOI":"10.1371\/journal.pcbi.1000464","volume":"5","author":"SJ Kiebel","year":"2009","unstructured":"Kiebel SJ, von Kriegstein K, Daunizeau J, Friston KJ (2009b) Recognizing sequences of sequences. PLoS Comput Biol 5(8): e1000\u2013464. doi: 10.1371\/journal.pcbi.1000464","journal-title":"PLoS Comput Biol"},{"key":"490_CR35","doi-asserted-by":"crossref","first-page":"23","DOI":"10.3389\/neuro.10.023.2009","volume":"3","author":"A Lazar","year":"2009","unstructured":"Lazar A, Pipa G, Triesch J (2009) Sorn a self-organizing recurrent neural network. Front Comput Neurosci 3: 23. doi: 10.3389\/neuro.10.023.2009","journal-title":"Front Comput Neurosci"},{"key":"490_CR36","first-page":"127","volume-title":"New directions in statistical signal processing: from systems to brains.","author":"R Legenstein","year":"2007","unstructured":"Legenstein R, Maass W (2007) What makes a dynamical system computationally powerful?. In: Haykin S, Principe JC, Sejnowski TJ, McWhirter JG (eds) New directions in statistical signal processing: from systems to brains.. MIT Press, Cambridge, pp 127\u2013154"},{"issue":"11","key":"490_CR37","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1162\/089976602760407955","volume":"14","author":"W Maass","year":"2002","unstructured":"Maass W, Natschlger T, Markram H (2002) Real-time computing without stable states a new framework for neural computation based on perturbations. Neural Comput 14(11): 2531\u20132560. doi: 10.1162\/089976602760407955","journal-title":"Neural Comput"},{"key":"490_CR38","unstructured":"Mel BW (2008) Why have dendrites? a computational perspective, Chap. 16. In: Stuart G, Spruston N , H\u00e4usser M (eds) Dendrites, 2nd edn. Oxford University Press, Oxford"},{"key":"490_CR39","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1146\/annurev.neuro.24.1.167","volume":"24","author":"EK Miller","year":"2001","unstructured":"Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24: 167\u2013202. doi: 10.1146\/annurev.neuro.24.1.167","journal-title":"Annu Rev Neurosci"},{"issue":"4","key":"490_CR40","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s004220050521","volume":"80","author":"D Mottet","year":"1999","unstructured":"Mottet D, Bootsma RJ (1999) The dynamics of goal-directed rhythmical aiming. Biol Cybern 80(4): 235\u2013245. doi: 10.1007\/s004220050521","journal-title":"Biol Cybern"},{"key":"490_CR41","doi-asserted-by":"crossref","unstructured":"Mumford D (1996) Pattern theory: a unifying perspective. In: Knill DC Richards W (eds) Perception as Bayesian inference. Cambridge University Press, Cambridge","DOI":"10.1017\/CBO9780511984037.003"},{"issue":"1","key":"490_CR42","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/72.80202","volume":"1","author":"K Narendra","year":"1990","unstructured":"Narendra K, Parthasarathy K (1990) Identification and control of dynamical systems using neural networks. IEEE Trans Neural Netw 1(1): 4\u201327. doi: 10.1109\/72.80202","journal-title":"IEEE Trans Neural Netw"},{"key":"490_CR43","doi-asserted-by":"crossref","unstructured":"Natarajan R, Huys QJM, Dayan P, Zemel RS (2008) Encoding and decoding spikes for dynamic stimuli. Neural Comput 20(9): http:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/neco.2008.01-07-436 2325\u20132360. doi: 10.1162\/neco.2008.01-07-436","DOI":"10.1162\/neco.2008.01-07-436"},{"issue":"6","key":"490_CR44","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1109\/72.963777","volume":"12","author":"A Parlos","year":"2001","unstructured":"Parlos A, Menon S, Atiya A (2001) An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Trans Neural Netw 12(6): 1411\u20131432. doi: 10.1109\/72.963777","journal-title":"IEEE Trans Neural Netw"},{"key":"490_CR45","doi-asserted-by":"crossref","unstructured":"Pearlmutter BA (1989) Learning state space trajectories in recurrent neural networks. Neural Comput 1(2): http:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/neco.1989.1.2.263 263\u2013 269. doi: 10.1162\/neco.1989.1.2.263","DOI":"10.1162\/neco.1989.1.2.263"},{"issue":"2","key":"490_CR46","doi-asserted-by":"crossref","first-page":"e10","DOI":"10.1371\/journal.pone.0016589","volume":"6","author":"D Perdikis","year":"2011","unstructured":"Perdikis D, Huys R, Jirsa V (2011a) Complex processes from dynamical architectures with time-scale hierarchy. PLoS One 6(2): e10\u2013589. doi: 10.1371\/journal.pone.0016589","journal-title":"PLoS One"},{"issue":"9","key":"490_CR47","doi-asserted-by":"crossref","first-page":"e1002","DOI":"10.1371\/journal.pcbi.1002198","volume":"7","author":"D Perdikis","year":"2011","unstructured":"Perdikis D, Huys R, Jirsa VK (2011b) Time scale hierarchies in the functional organization of complex behaviors. PLoS Comput Biol 7(9): e1002\u2013198. doi: 10.1371\/journal.pcbi.1002198","journal-title":"PLoS Comput Biol"},{"issue":"12","key":"490_CR48","doi-asserted-by":"crossref","first-page":"e1001","DOI":"10.1371\/journal.pcbi.1001038","volume":"6","author":"EK Pissadaki","year":"2010","unstructured":"Pissadaki EK, Sidiropoulou K, Reczko M, Poirazi P (2010) Encoding of spatio-temporal input characteristics by a ca1 pyramidal neuron model. PLoS Comput Biol 6(12): e1001\u2013038. doi: 10.1371\/journal.pcbi.1001038","journal-title":"PLoS Comput Biol"},{"key":"490_CR49","doi-asserted-by":"crossref","unstructured":"Poirazi P, Brannon T, Mel BW (2003) Pyramidal neuron as two-layer neural network. Neuron 37(6): http:\/\/dx.doi.org 989\u2013999. doi: 10. 1016\/S0896-6273(03)00149-1","DOI":"10.1016\/S0896-6273(03)00149-1"},{"issue":"4","key":"490_CR50","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1103\/RevModPhys.78.1213","volume":"78","author":"MI Rabinovich","year":"2006","unstructured":"Rabinovich MI, Varona P, Selverston AI, Abarbanel HDI (2006) Dynamical principles in neuroscience. Rev Mod Phys 78(4): 1213\u20131265. doi: 10.1103\/RevModPhys.78.1213","journal-title":"Rev Mod Phys"},{"issue":"1","key":"490_CR51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/08997660460733976","volume":"16","author":"RPN Rao","year":"2004","unstructured":"Rao RPN (2004) Bayesian computation in recurrent neural circuits. Neural Comput 16(1): 1\u201338. doi: 10.1162\/08997660460733976","journal-title":"Neural Comput"},{"issue":"4","key":"490_CR52","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1162\/neco.1997.9.4.721","volume":"9","author":"RP Rao","year":"1997","unstructured":"Rao RP, Ballard DH (1997) Dynamic model of visual recognition predicts neural response properties in the visual cortex. Neural Comput 9(4): 721\u2013763","journal-title":"Neural Comput"},{"issue":"1","key":"490_CR53","doi-asserted-by":"crossref","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. doi: 10.1038\/4580","journal-title":"Nat Neurosci"},{"issue":"5","key":"490_CR54","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s00422-010-0372-z","volume":"102","author":"S Rodrigues","year":"2010","unstructured":"Rodrigues S, Chizhov AV, Marten F, Terry JR (2010) Mappings between a macroscopic neural-mass model and a reduced conductance-based model. Biol Cybern 102(5): 361\u2013371. doi: 10.1007\/s00422-010-0372-z","journal-title":"Biol Cybern"},{"key":"490_CR55","volume-title":"Kalman filtering and neural networks","author":"S Roweis","year":"2001","unstructured":"Roweis S, Ghahramani Z (2001) Learning nonlinear dynamical systems using the expectation-maximization algorithm. In: Haykin S (eds) Kalman filtering and neural networks. Wiley, New York. doi: 10.1002\/0471221546"},{"issue":"1","key":"490_CR56","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.automatica.2010.10.013","volume":"47","author":"TB Sch\u00f6n","year":"2011","unstructured":"Sch\u00f6n TB, Wills A, Ninness B (2011) System identification of nonlinear state-space models. Automatica 47(1): 39\u201349. doi: 10.1016\/j.automatica.2010.10.013","journal-title":"Automatica"},{"issue":"4","key":"490_CR57","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1007\/BF00203449","volume":"63","author":"G Sch\u00f6ner","year":"1990","unstructured":"Sch\u00f6ner G (1990) A dynamic theory of coordination of discrete movement. Biol Cybern 63(4): 257\u2013270. doi: 10.1007\/BF00203449","journal-title":"Biol Cybern"},{"issue":"9","key":"490_CR58","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1038\/sj.embor.7400789","volume":"7","author":"K Sidiropoulou","year":"2006","unstructured":"Sidiropoulou K, Pissadaki EK, Poirazi P (2006) Inside the brain of a neuron. EMBO Rep 7(9): 886\u2013892. doi: 10.1038\/sj.embor.7400789","journal-title":"EMBO Rep"},{"issue":"2","key":"490_CR59","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1162\/neco.2007.19.2.478","volume":"19","author":"RC Sotero","year":"2007","unstructured":"Sotero RC, Trujillo-Barreto NJ, Iturria-Medina Y, Carbonell F, Jimenez JC (2007) Realistically coupled neural mass models can generate eeg rhythms. Neural Comput 19(2): 478\u2013512. doi: 10.1162\/neco.2007.19.2.478","journal-title":"Neural Comput"},{"issue":"3","key":"490_CR60","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1038\/nrn2286","volume":"9","author":"N Spruston","year":"2008","unstructured":"Spruston N (2008) Pyramidal neurons: dendritic structure and synaptic integration. Nat Rev Neurosci 9(3): 206\u2013221. doi: 10.1038\/nrn2286","journal-title":"Nat Rev Neurosci"},{"issue":"5803","key":"490_CR61","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.1126\/science.1132028","volume":"314","author":"C Summerfield","year":"2006","unstructured":"Summerfield C, Egner T, Greene M, Koechlin E, Mangels J, Hirsch J (2006) Predictive codes for forthcoming perception in the frontal cortex. Science 314(5803): 1311\u20131314. doi: 10.1126\/science.1132028","journal-title":"Science"},{"key":"490_CR62","doi-asserted-by":"crossref","unstructured":"Taylor GW, Hinton GE (2009) Factored conditional restricted boltzmann machines for modeling motion style. In: Proceedings of the 26th international conference on machine learning (ICML)","DOI":"10.1145\/1553374.1553505"},{"issue":"5","key":"490_CR63","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1109\/72.317731","volume":"5","author":"J Ting-Ho Lo","year":"1994","unstructured":"Ting-Ho Lo J (1994) Synthetic approach to optimal filtering. IEEE Trans Neural Netw 5(5): 803\u2013811. doi: 10.1109\/72.317731","journal-title":"IEEE Trans Neural Netw"},{"key":"490_CR64","doi-asserted-by":"crossref","unstructured":"Valpola H, Karhunen J (2002) An unsupervised ensemble learning method for nonlinear dynamic state-space models. Neural Comput 14(11): http:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/089976602760408017 2647\u20132692. doi: 10.1162\/089976602760408017","DOI":"10.1162\/089976602760408017"},{"issue":"4","key":"490_CR65","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1073\/pnas.0408949102","volume":"102","author":"V Wassenhove van","year":"2005","unstructured":"van Wassenhove V, Grant KW, Poeppel D (2005) Visual speech speeds up the neural processing of auditory speech. Proc Natl Acad Sci USA 102(4): 1181\u20131186. doi: 10.1073\/pnas.0408949102","journal-title":"Proc Natl Acad Sci USA"},{"issue":"3","key":"490_CR66","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.neunet.2007.04.003","volume":"20","author":"D Verstraeten","year":"2007","unstructured":"Verstraeten D, Schrauwen B, D\u2019Haene M, Stroobandt D (2007) An experimental unification of reservoir computing methods. Neural Netw 20(3): 391\u2013403. doi: 10.1016\/j.neunet.2007.04.003","journal-title":"Neural Netw"},{"key":"490_CR67","volume-title":"Kalman Filtering and Neural Networks","author":"EA Wan","year":"2001","unstructured":"Wan EA, van der Merwe R (2001) The unscented Kalman filter. In: Haykin S (eds) Kalman Filtering and Neural Networks. Wiley, New York. doi: 10.1002\/0471221546"},{"key":"490_CR68","volume-title":"Kalman Filtering and Neural Networks","author":"EA Wan","year":"2001","unstructured":"Wan EA, Nelson AT (2001) Dual extended Kalman filter methods. In: Haykin S (eds) Kalman Filtering and Neural Networks. Wiley, New York. doi: 10.1002\/0471221546"},{"key":"490_CR69","doi-asserted-by":"crossref","unstructured":"Williams RJ, Zipser D (1989) A learning algorithm for continually running fully recurrent neural networks. Neural Comput 1(2): http:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/neco.1989.1.2.270 270\u2013280. doi: 10.1162\/neco.1989.1.2.270","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"490_CR70","first-page":"2062","volume-title":"Advances in neural information processing systems, vol 22","author":"R Wilson","year":"2009","unstructured":"Wilson R, Finkel L (2009) A neural implementation of the Kalman filter. In: Bengio Y, Schuurmans D, Lafferty J, Williams CKI, Culotta A (eds) Advances in neural information processing systems, vol 22. MIT Press, Cambridge, pp 2062\u20132070"}],"container-title":["Biological Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.springerlink.com\/index\/pdf\/10.1007\/s00422-012-0490-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,6]],"date-time":"2019-03-06T21:51:32Z","timestamp":1551909092000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00422-012-0490-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,5,12]]},"references-count":70,"journal-issue":{"issue":"4-5","published-print":{"date-parts":[[2012,7]]}},"alternative-id":["490"],"URL":"https:\/\/doi.org\/10.1007\/s00422-012-0490-x","relation":{},"ISSN":["0340-1200","1432-0770"],"issn-type":[{"type":"print","value":"0340-1200"},{"type":"electronic","value":"1432-0770"}],"subject":[],"published":{"date-parts":[[2012,5,12]]}}}