Extended Temporal Association Memory by Modulations of Inhibitory Circuits.
暂无分享,去创建一个
[1] M. Tsodyks,et al. The Enhanced Storage Capacity in Neural Networks with Low Activity Level , 1988 .
[2] Daniel J. Amit,et al. Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors , 1999, Neural Computation.
[3] Brent Doiron,et al. Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes. , 2016, Journal of neurophysiology.
[4] Joshua I. Sanders,et al. Cortical interneurons that specialize in disinhibitory control , 2013, Nature.
[5] J. Buhmann,et al. Associative memory with high information content. , 1989, Physical review. A, General physics.
[6] Sompolinsky,et al. Spin-glass models of neural networks. , 1985, Physical review. A, General physics.
[7] Jonathan W. Pillow,et al. Discovering Event Structure in Continuous Narrative Perception and Memory , 2016, Neuron.
[8] M. Tsodyks,et al. Capacity of networks with correlated attractors , 1994 .
[9] J. J. Couey,et al. Lateral inhibition by Martinotti interneurons is facilitated by cholinergic inputs in human and mouse neocortex , 2018, Nature Communications.
[10] E. Zohary,et al. Inter-trial neuronal activity in inferior temporal cortex: a putative vehicle to generate long-term visual associations , 1998, Nature Neuroscience.
[11] Tobias Navarro Schröder,et al. An event map of memory space in the hippocampus , 2016, eLife.
[12] M. Stryker,et al. A Cortical Circuit for Gain Control by Behavioral State , 2014, Cell.
[13] Timothy E. J. Behrens,et al. Inhibitory engrams in perception and memory , 2017, Proceedings of the National Academy of Sciences.
[14] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[15] Y. Miyashita. Neuronal correlate of visual associative long-term memory in the primate temporal cortex , 1988, Nature.
[16] Front , 2020, 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).
[17] M. Botvinick,et al. Statistical learning of temporal community structure in the hippocampus , 2016, Hippocampus.
[18] P. Jonas,et al. Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks , 2016, Nature Communications.
[19] Henning Sprekeler,et al. Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks , 2011, Science.
[20] Yang Dan,et al. Cell-type-specific modulation of neocortical activity by basal forebrain input , 2013, Front. Syst. Neurosci..
[21] N Brunel,et al. Correlations of cortical Hebbian reverberations: theory versus experiment , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[22] Nicolas Brunel,et al. Hebbian Learning of Context in Recurrent Neural Networks , 1996, Neural Computation.
[23] David A Lewis,et al. Cholinergic modulation of neuronal excitability and recurrent excitation‐inhibition in prefrontal cortex circuits: implications for gamma oscillations , 2013, The Journal of physiology.
[24] G. Bi,et al. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type , 1998, The Journal of Neuroscience.
[25] Peter Dayan,et al. Acetylcholine in cortical inference , 2002, Neural Networks.
[26] E. Capaldi,et al. The organization of behavior. , 1992, Journal of applied behavior analysis.
[27] Mriganka Sur,et al. An acetylcholine-activated microcircuit drives temporal dynamics of cortical activity , 2015, Nature Neuroscience.
[28] H. Adesnik,et al. A neural circuit for spatial summation in visual cortex , 2012, Nature.