Sequence learning via biophysically realistic learning rules (Cone and Shouval 2021)


Cone I, Shouval HZ. (2021). Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network. eLife. 10 [PubMed]

See more from authors: Cone I · Shouval HZ

References and models cited by this paper

Billings G, Piasini E, Lőrincz A, Nusser Z, Silver RA. (2014). Network structure within the cerebellar input layer enables lossless sparse encoding. Neuron. 83 [PubMed]

Binzegger T, Douglas RJ, Martin KA. (2009). Topology and dynamics of the canonical circuit of cat V1. Neural networks : the official journal of the International Neural Network Society. 22 [PubMed]

Bittner KC, Milstein AD, Grienberger C, Romani S, Magee JC. (2017). Behavioral time scale synaptic plasticity underlies CA1 place fields. Science (New York, N.Y.). 357 [PubMed]

Brunel N. (2003). Dynamics and plasticity of stimulus-selective persistent activity in cortical network models. Cerebral cortex (New York, N.Y. : 1991). 13 [PubMed]

Brzosko Z, Zannone S, Schultz W, Clopath C, Paulsen O. (2017). Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation. eLife. 6 [PubMed]

Chadderton P, Margrie TW, Häusser M. (2004). Integration of quanta in cerebellar granule cells during sensory processing. Nature. 428 [PubMed]

Chubykin AA, Roach EB, Bear MF, Shuler MG. (2013). A cholinergic mechanism for reward timing within primary visual cortex. Neuron. 77 [PubMed]

Dave AS, Margoliash D. (2000). Song replay during sleep and computational rules for sensorimotor vocal learning. Science (New York, N.Y.). 290 [PubMed]

Davidson TJ, Kloosterman F, Wilson MA. (2009). Hippocampal replay of extended experience. Neuron. 63 [PubMed]

DePasquale B, Cueva CJ, Rajan K, Escola GS, Abbott LF. (2018). full-FORCE: A target-based method for training recurrent networks. PloS one. 13 [PubMed]

Fiete IR, Senn W, Wang CZ, Hahnloser RH. (2010). Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron. 65 [PubMed]

Foster DJ, Wilson MA. (2006). Reverse replay of behavioural sequences in hippocampal place cells during the awake state. Nature. 440 [PubMed]

Fransén E, Tahvildari B, Egorov AV, Hasselmo ME, Alonso AA. (2006). Mechanism of graded persistent cellular activity of entorhinal cortex layer v neurons. Neuron. 49 [PubMed]

Frémaux N, Gerstner W. (2015). Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules. Frontiers in neural circuits. 9 [PubMed]

Hangya B, Ranade SP, Lorenc M, Kepecs A. (2015). Central Cholinergic Neurons Are Rapidly Recruited by Reinforcement Feedback. Cell. 162 [PubMed]

Hawkins J, Ahmad S. (2016). Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex. Frontiers in neural circuits. 10 [PubMed]

He K et al. (2015). Distinct Eligibility Traces for LTP and LTD in Cortical Synapses. Neuron. 88 [PubMed]

Howe MW, Dombeck DA. (2016). Rapid signalling in distinct dopaminergic axons during locomotion and reward. Nature. 535 [PubMed]

Huertas MA, Hussain Shuler MG, Shouval HZ. (2015). A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Ji D, Wilson MA. (2007). Coordinated memory replay in the visual cortex and hippocampus during sleep. Nature neuroscience. 10 [PubMed]

Jun JK, Jin DZ. (2007). Development of neural circuitry for precise temporal sequences through spontaneous activity, axon remodeling, and synaptic plasticity. PloS one. 2 [PubMed]

Laje R, Buonomano DV. (2013). Robust timing and motor patterns by taming chaos in recurrent neural networks. Nature neuroscience. 16 [PubMed]

Leutgeb JK, Leutgeb S, Moser MB, Moser EI. (2007). Pattern separation in the dentate gyrus and CA3 of the hippocampus. Science (New York, N.Y.). 315 [PubMed]

Lim S, Goldman MS. (2013). Balanced cortical microcircuitry for maintaining information in working memory. Nature neuroscience. 16 [PubMed]

Lisman JE, Fellous JM, Wang XJ. (1998). A role for NMDA-receptor channels in working memory. Nature neuroscience. 1 [PubMed]

Liu JK, Buonomano DV. (2009). Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Louie K, Wilson MA. (2001). Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron. 29 [PubMed]

Maass W, Natschläger T, Markram H. (2002). Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural computation. 14 [PubMed]

Maass W, Natschläger T, Markram H. (2004). Fading memory and kernel properties of generic cortical microcircuit models. Journal of physiology, Paris. 98 [PubMed]

Maes A, Barahona M, Clopath C. (2020). Learning spatiotemporal signals using a recurrent spiking network that discretizes time. PLoS computational biology. 16 [PubMed]

Mastronarde DN. (1987). Two classes of single-input X-cells in cat lateral geniculate nucleus. II. Retinal inputs and the generation of receptive-field properties. Journal of neurophysiology. 57 [PubMed]

Murray JM, Escola GS. (2017). Learning multiple variable-speed sequences in striatum via cortical tutoring. eLife. 6 [PubMed]

Nicola W, Clopath C. (2017). Supervised learning in spiking neural networks with FORCE training. Nature communications. 8 [PubMed]

Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

Rajan K, Abbott LF, Sompolinsky H. (2010). Stimulus-dependent suppression of chaos in recurrent neural networks. Physical review. E, Statistical, nonlinear, and soft matter physics. 82 [PubMed]

Rajan K, Harvey CD, Tank DW. (2016). Recurrent Network Models of Sequence Generation and Memory. Neuron. 90 [PubMed]

Ruksenas O, Bulatov A, Heggelund P. (2007). Dynamics of spatial resolution of single units in the lateral geniculate nucleus of cat during brief visual stimulation. Journal of neurophysiology. 97 [PubMed]

Shuler MG, Bear MF. (2006). Reward timing in the primary visual cortex. Science (New York, N.Y.). 311 [PubMed]

Skaggs WE, McNaughton BL. (1996). Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience. Science (New York, N.Y.). 271 [PubMed]

Sussillo D, Abbott LF. (2009). Generating coherent patterns of activity from chaotic neural networks. Neuron. 63 [PubMed]

Tully PJ, Lindén H, Hennig MH, Lansner A. (2016). Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS computational biology. 12 [PubMed]

Wang M et al. (2013). NMDA receptors subserve persistent neuronal firing during working memory in dorsolateral prefrontal cortex. Neuron. 77 [PubMed]

Wang XJ. (2001). Synaptic reverberation underlying mnemonic persistent activity. Trends in neurosciences. 24 [PubMed]

Yagishita S et al. (2014). A critical time window for dopamine actions on the structural plasticity of dendritic spines. Science (New York, N.Y.). 345 [PubMed]

van Dijk MT, Fenton AA. (2018). On How the Dentate Gyrus Contributes to Memory Discrimination. Neuron. 98 [PubMed]

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.