Computational and in vitro studies of persistent activity: Edging towards cellular and synaptic mechanisms of working memory
暂无分享,去创建一个
[1] Jianfeng Feng,et al. Computational neuroscience , 1986, Behavioral and Brain Sciences.
[2] D. Durstewitz,et al. Beyond bistability: Biophysics and temporal dynamics of working memory , 2006, Neuroscience.
[3] E. Callaway,et al. Excitatory cortical neurons form fine-scale functional networks , 2005, Nature.
[4] T. Pasternak,et al. Working memory in primate sensory systems , 2005, Nature Reviews Neuroscience.
[5] David A Lewis,et al. Functional properties of fast spiking interneurons and their synaptic connections with pyramidal cells in primate dorsolateral prefrontal cortex. , 2005, Journal of neurophysiology.
[6] E. Rolls,et al. Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex. , 2004, Cerebral cortex.
[7] G. V. Simpson,et al. Phase Locking of Single Neuron Activity to Theta Oscillations during Working Memory in Monkey Extrastriate Visual Cortex , 2003, Neuron.
[8] Christos Constantinidis,et al. A Neural Circuit Basis for Spatial Working Memory , 2004, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[9] D. Tank,et al. Persistent neural activity: prevalence and mechanisms , 2004, Current Opinion in Neurobiology.
[10] H. Markram,et al. Interneurons of the neocortical inhibitory system , 2004, Nature Reviews Neuroscience.
[11] W. Senn,et al. Top-down dendritic input increases the gain of layer 5 pyramidal neurons. , 2004, Cerebral cortex.
[12] Peter E. Latham,et al. Computing and Stability in Cortical Networks , 2004, Neural Computation.
[13] Guy M. McKhann,et al. Synfire Chains and Cortical SongsTemporal Modules of Cortical Activity , 2004 .
[14] R. Douglas,et al. Neuronal circuits of the neocortex. , 2004, Annual review of neuroscience.
[15] Javier Yajeya,et al. A Cholinergic Synaptically Triggered Event Participates in the Generation of Persistent Activity Necessary for Eye Fixation , 2004, The Journal of Neuroscience.
[16] E. Rolls,et al. What and Where in Visual Working Memory: A Computational Neurodynamical Perspective for Integrating fMRI and Single-Neuron Data , 2004, Journal of Cognitive Neuroscience.
[17] Yuji Ikegaya,et al. Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity , 2004, Science.
[18] H. Markram,et al. Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit , 2004, The Journal of physiology.
[19] P. Goldman-Rakic,et al. Division of labor among distinct subtypes of inhibitory neurons in a cortical microcircuit of working memory. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[20] N. Parga,et al. Role of synaptic filtering on the firing response of simple model neurons. , 2004, Physical review letters.
[21] Boris S. Gutkin,et al. Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity , 2001, Journal of Computational Neuroscience.
[22] Xiao-Jing Wang,et al. A Model of Visuospatial Working Memory in Prefrontal Cortex: Recurrent Network and Cellular Bistability , 1998, Journal of Computational Neuroscience.
[23] John Rinzel,et al. A minimal, compartmental model for a dendritic origin of bistability of motoneuron firing patterns , 1995, Journal of Computational Neuroscience.
[24] S. Amari. Dynamics of pattern formation in lateral-inhibition type neural fields , 1977, Biological Cybernetics.
[25] J. Cowan,et al. A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue , 1973, Kybernetik.
[26] Xiao-Jing Wang,et al. Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition , 2004, Journal of Computational Neuroscience.
[27] H. Sebastian Seung,et al. The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback , 2004, Journal of Computational Neuroscience.
[28] Jean-Marc Fellous,et al. Regulation of persistent activity by background inhibition in an in vitro model of a cortical microcircuit. , 2003, Cerebral cortex.
[29] H. Seung,et al. Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron. , 2003, Cerebral cortex.
[30] Nicolas Brunel,et al. Dynamics and plasticity of stimulus-selective persistent activity in cortical network models. , 2003, Cerebral cortex.
[31] R. Romo,et al. A recurrent network model of somatosensory parametric working memory in the prefrontal cortex. , 2003, Cerebral cortex.
[32] J. Seamans,et al. Synaptic basis of persistent activity in prefrontal cortex in vivo and in organotypic cultures. , 2003, Cerebral cortex.
[33] Gianluigi Mongillo,et al. Selective delay activity in the cortex: phenomena and interpretation. , 2003, Cerebral cortex.
[34] P. Goldman-Rakic,et al. Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task. , 2003, Journal of neurophysiology.
[35] Andrea Hasenstaub,et al. Persistent cortical activity: mechanisms of generation and effects on neuronal excitability. , 2003, Cerebral cortex.
[36] J. Bassett,et al. Persistent neural activity in head direction cells. , 2003, Cerebral cortex.
[37] Bard Ermentrout. Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks , 2003, Neural Computation.
[38] A. Lansner,et al. A working memory model based on fast Hebbian learning , 2003, Network.
[39] D. Amit,et al. Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network , 2003, The European journal of neuroscience.
[40] E. Rolls,et al. Attention and working memory: a dynamical model of neuronal activity in the prefrontal cortex , 2003, The European journal of neuroscience.
[41] H. Sompolinsky,et al. Temporal integration by calcium dynamics in a model neuron , 2003, Nature Neuroscience.
[42] D. McCormick,et al. Turning on and off recurrent balanced cortical activity , 2003, Nature.
[43] R. Yuste,et al. Attractor dynamics of network UP states in the neocortex , 2003, Nature.
[44] Xiao-Jing Wang,et al. Robust Spatial Working Memory through Homeostatic Synaptic Scaling in Heterogeneous Cortical Networks , 2003, Neuron.
[45] Maria V. Sanchez-Vives,et al. Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model. , 2003, Journal of neurophysiology.
[46] D J Amit,et al. Multiple-object working memory--a model for behavioral performance. , 2003, Cerebral cortex.
[47] Ranulfo Romo,et al. Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations , 2003, Current Opinion in Neurobiology.
[48] Daniel J. Amit,et al. Spike-Driven Synaptic Dynamics Generating Working Memory States , 2003, Neural Computation.
[49] H. Sompolinsky,et al. Mexican hats and pinwheels in visual cortex , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[50] Nicolas Brunel,et al. Mean-field theory of recurrent cortical networks: Working memory circuits with irregularly spiking neurons , 2003 .
[51] Germán Mato,et al. Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons , 2003, Neural Computation.
[52] Xiao-Jing Wang,et al. The dynamical stability of reverberatory neural circuits , 2002, Biological Cybernetics.
[53] M. Hasselmo,et al. Graded persistent activity in entorhinal cortex neurons , 2002, Nature.
[54] Terrence J. Sejnowski,et al. Integrate-and-Fire Neurons Driven by Correlated Stochastic Input , 2002, Neural Computation.
[55] A. Koulakov,et al. Model for a robust neural integrator , 2002, Nature Neuroscience.
[56] Daniel Durstewitz,et al. The computational role of dopamine D1 receptors in working memory , 2002, Neural Networks.
[57] Bijan Pesaran,et al. Temporal structure in neuronal activity during working memory in macaque parietal cortex , 2000, Nature Neuroscience.
[58] L. Barrett‐Lennard,et al. Graded persistent activity in entorhinal cortex neurons , 2002 .
[59] André Longtin,et al. Noise-induced stabilization of bumps in systems with long-range spatial coupling , 2001 .
[60] R. Yuste,et al. Dynamics of Spontaneous Activity in Neocortical Slices , 2001, Neuron.
[61] Xiao-Jing Wang. Synaptic reverberation underlying mnemonic persistent activity , 2001, Trends in Neurosciences.
[62] Carson C. Chow,et al. Stationary Bumps in Networks of Spiking Neurons , 2001, Neural Computation.
[63] Néstor Parga,et al. A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition , 2001, Neurocomputing.
[64] D. Hansel,et al. Existence and stability of persistent states in large neuronal networks. , 2001, Physical review letters.
[65] German Barrionuevo,et al. Synaptic targets of the intrinsic axon collaterals of supragranular pyramidal neurons in monkey prefrontal cortex , 2001, The Journal of comparative neurology.
[66] A. Koulakov,et al. Properties of synaptic transmission and the global stability of delayed activity states , 2001, Network.
[67] M. Steriade. Corticothalamic resonance, states of vigilance and mentation , 2000, Neuroscience.
[68] T. Sejnowski,et al. Neurocomputational models of working memory , 2000, Nature Neuroscience.
[69] Maria V. Sanchez-Vives,et al. Cellular and network mechanisms of rhythmic recurrent activity in neocortex , 2000, Nature Neuroscience.
[70] P. Goldman-Rakic,et al. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. , 2000, Cerebral cortex.
[71] J Rinzel,et al. Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons. , 2000, Biophysical journal.
[72] José M Delgado-Garcı́a,et al. Why move the eyes if we can move the head? , 2000, Brain Research Bulletin.
[73] Daniel D. Lee,et al. Stability of the Memory of Eye Position in a Recurrent Network of Conductance-Based Model Neurons , 2000, Neuron.
[74] T. Sejnowski,et al. Dopamine-mediated stabilization of delay-period activity in a network model of prefrontal cortex. , 2000, Journal of neurophysiology.
[75] N. Brunel. Persistent activity and the single-cell frequency–current curve in a cortical network model , 2000, Network.
[76] X. Wang,et al. Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory , 1999, The Journal of Neuroscience.
[77] R. Romo,et al. Neuronal correlates of parametric working memory in the prefrontal cortex , 1999, Nature.
[78] Y Agid,et al. Temporal limits of spatial working memory in humans , 1998, The European journal of neuroscience.
[79] J. Fellous,et al. A role for NMDA-receptor channels in working memory , 1998, Nature Neuroscience.
[80] D. Amit,et al. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. , 1997, Cerebral cortex.
[81] Charles Q. Wu,et al. Local circuit neurons of macaque monkey striate cortex: IV. neurons of laminae 1‐3A , 1997, The Journal of comparative neurology.
[82] H. Sompolinsky,et al. Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.
[83] H S Seung,et al. How the brain keeps the eyes still. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[84] K. Zhang,et al. Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[85] D. Plenz,et al. Neural dynamics in cortex-striatum co-cultures—II. Spatiotemporal characteristics of neuronal activity , 1996, Neuroscience.
[86] D. Amit. The Hebbian paradigm reintegrated: Local reverberations as internal representations , 1995, Behavioral and Brain Sciences.
[87] H. Sompolinsky,et al. Theory of orientation tuning in visual cortex. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[88] P. Goldman-Rakic. Cellular basis of working memory , 1995, Neuron.
[89] A. Lansner,et al. Low spiking rates in a population of mutually exciting pyramidal cells , 1995 .
[90] Terrence J. Sejnowski,et al. RAPID STATE SWITCHING IN BALANCED CORTICAL NETWORK MODELS , 1995 .
[91] J. Fuster. Memory in the cerebral cortex , 1994 .
[92] David L. Sparks,et al. Saccades to remembered target locations: an analysis of systematic and variable errors , 1994, Vision Research.
[93] D. Zipser,et al. A spiking network model of short-term active memory , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[94] J. Lund,et al. Local circuit neurons of macaque monkey striate cortex: III. Neurons of laminae 4B, 4A, and 3B , 1997, The Journal of comparative neurology.
[95] D. Amit,et al. Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks , 1991 .
[96] Guido Bugmann,et al. Summation and multiplication: two distinct operation domains of leaky integrate-and-fire neurons , 1991 .
[97] Daniel J. Amit,et al. Quantitative Study of Attractor Neural Network Retrieving at Low Spike Rates: I , 1991 .
[98] Moshe Abeles,et al. Corticonics: Neural Circuits of Cerebral Cortex , 1991 .
[99] Nava Rubin,et al. Neural networks with low local firing rates , 1989 .
[100] Buhmann. Oscillations and low firing rates in associative memory neural networks. , 1989, Physical review. A, General physics.
[101] A Treves,et al. Associative memory neural network with low temporal spiking rates. , 1989, Proceedings of the National Academy of Sciences of the United States of America.
[102] P. Goldman-Rakic,et al. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. , 1989, Journal of neurophysiology.
[103] D. O. Hebb,et al. The organization of behavior , 1988 .
[104] P. Somogyi,et al. Synaptic connections of morphologically identified and physiologically characterized large basket cells in the striate cortex of cat , 1983, Neuroscience.
[105] 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.
[106] M. Abeles. Role of the cortical neuron: integrator or coincidence detector? , 1982, Israel journal of medical sciences.
[107] B. Cohen. The Vestibulo-Ocular Reflex Arc , 1974 .
[108] R. L. Nó,et al. VESTIBULO-OCULAR REFLEX ARC , 1933 .
[109] H. Sompolinsky,et al. 13 Modeling Feature Selectivity in Local Cortical Circuits , 2022 .