The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics
暂无分享,去创建一个
[1] Philip Sterne,et al. Information Recall Using Relative Spike Timing in a Spiking Neural Network , 2012, Neural Computation.
[2] Marc-Oliver Gewaltig,et al. NEST (NEural Simulation Tool) , 2007, Scholarpedia.
[3] Chris Eliasmith,et al. Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. , 2007, Cerebral cortex.
[4] R. Palmer,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[5] Nicolas Brunel,et al. Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons , 2000, Journal of Computational Neuroscience.
[6] Moritz Helias,et al. Invariance of covariances arises out of noise , 2013 .
[7] T. Sejnowski,et al. Correlated neuronal activity and the flow of neural information , 2001, Nature Reviews Neuroscience.
[8] Stefan Rotter,et al. Correlations and Population Dynamics in Cortical Networks , 2008, Neural Computation.
[9] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[10] Haim Sompolinsky,et al. Chaotic Balanced State in a Model of Cortical Circuits , 1998, Neural Computation.
[11] Wulfram Gerstner,et al. Phenomenological models of synaptic plasticity based on spike timing , 2008, Biological Cybernetics.
[12] Eugene M. Izhikevich,et al. Polychronization: Computation with Spikes , 2006, Neural Computation.
[13] Michael A. Buice,et al. Systematic Fluctuation Expansion for Neural Network Activity Equations , 2009, Neural Computation.
[14] Tobias C. Potjans,et al. The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model , 2012, Cerebral cortex.
[15] Brent Doiron,et al. The Spatial Structure of Stimuli Shapes the Timescale of Correlations in Population Spiking Activity , 2012, PLoS Comput. Biol..
[16] J. Poulet,et al. Synaptic Mechanisms Underlying Sparse Coding of Active Touch , 2011, Neuron.
[17] Alex S. Ferecskó,et al. The fractions of short- and long-range connections in the visual cortex , 2009, Proceedings of the National Academy of Sciences.
[18] Sonja Grün,et al. Long-Term Modifications in Motor Cortical Dynamics Induced by Intensive Practice , 2009, The Journal of Neuroscience.
[19] Moritz Helias,et al. Echoes in correlated neural systems , 2012, 1207.0298.
[20] Professor Moshe Abeles,et al. Local Cortical Circuits , 1982, Studies of Brain Function.
[21] Ehud Zohary,et al. Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.
[22] J. Poulet,et al. Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice , 2008, Nature.
[23] Sompolinsky,et al. Theory of correlations in stochastic neural networks. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[24] Eric Shea-Brown,et al. Motif statistics and spike correlations in neuronal networks , 2012, BMC Neuroscience.
[25] John Hertz,et al. Cross-Correlations in High-Conductance States of a Model Cortical Network , 2010, Neural Computation.
[26] J. Knott. The organization of behavior: A neuropsychological theory , 1951 .
[27] Stefan Rotter,et al. How Structure Determines Correlations in Neuronal Networks , 2011, PLoS Comput. Biol..
[28] E. Bienenstock. A model of neocortex , 1995 .
[29] 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.
[30] W. Singer,et al. Synchronization of neuronal responses in primary visual cortex of monkeys viewing natural images. , 2008, Journal of neurophysiology.
[31] Xiao-Jing Wang,et al. Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits , 2011, Neural Computation.
[32] J. Poulet,et al. Synaptic Mechanisms Underlying Sparse Coding of Active Touch , 2011, Neuron.
[33] F. Attneave,et al. The Organization of Behavior: A Neuropsychological Theory , 1949 .
[34] Christoph von der Malsburg,et al. The Correlation Theory of Brain Function , 1994 .
[35] D. Georgescauld. Local Cortical Circuits, An Electrophysiological Study , 1983 .
[36] W Singer,et al. Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.
[37] Moritz Helias,et al. Decorrelation of Neural-Network Activity by Inhibitory Feedback , 2012, PLoS Comput. Biol..
[38] Ad Aertsen,et al. Stable propagation of synchronous spiking in cortical neural networks , 1999, Nature.
[39] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[40] Stefan Rotter,et al. Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics , 2008, Neural Computation.
[41] Eric Shea-Brown,et al. Impact of Network Structure and Cellular Response on Spike Time Correlations , 2011, PLoS Comput. Biol..
[42] Moritz Helias,et al. Neuroinformatics Original Research Article a General and Efficient Method for Incorporating Precise Spike times in Globally Time-driven Simulations , 2010 .
[43] N. Urban,et al. Intrinsic biophysical diversity decorrelates neuronal firing while increasing information content , 2010, Nature Neuroscience.
[44] B. Doiron,et al. Short-term synaptic depression and stochastic vesicle dynamics reduce and shape neuronal correlations. , 2013, Journal of neurophysiology.
[45] Robert Rosenbaum,et al. Mechanisms That Modulate the Transfer of Spiking Correlations , 2011, Neural Computation.
[46] Nicolas Brunel,et al. How Connectivity, Background Activity, and Synaptic Properties Shape the Cross-Correlation between Spike Trains , 2009, The Journal of Neuroscience.
[47] T. Wiesel,et al. Clustered intrinsic connections in cat visual cortex , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[48] Michael Okun,et al. Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities , 2008, Nature Neuroscience.
[49] Sonja Grün,et al. Saccade-Related Modulations of Neuronal Excitability Support Synchrony of Visually Elicited Spikes , 2011, Cerebral cortex.
[50] Matthieu Gilson,et al. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways , 2009, Biological Cybernetics.
[51] P. Dayan,et al. Supporting Online Material Materials and Methods Som Text Figs. S1 to S9 References the Asynchronous State in Cortical Circuits , 2022 .
[52] Jaime de la Rocha,et al. Supplementary Information for the article ‘ Correlation between neural spike trains increases with firing rate ’ , 2007 .
[53] Nicolas Brunel,et al. Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates , 1999, Neural Computation.
[54] Moritz Helias,et al. A unified view on weakly correlated recurrent networks , 2013, Front. Comput. Neurosci..
[55] R. Douglas,et al. A Quantitative Map of the Circuit of Cat Primary Visual Cortex , 2004, The Journal of Neuroscience.
[56] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[57] Carl van Vreeswijk,et al. Temporal Correlations in Stochastic Networks of Spiking Neurons , 2002, Neural Computation.
[58] G. Buzsáki,et al. Mechanisms of gamma oscillations. , 2012, Annual review of neuroscience.
[59] H. Sompolinsky,et al. Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.
[60] 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.
[61] Eric Jones,et al. SciPy: Open Source Scientific Tools for Python , 2001 .
[62] Néstor Parga,et al. ournal of Statistical Mechanics : J Theory and Experiment Towards a self-consistent description of irregular and asynchronous cortical activity , 2013 .
[63] C. Petersen,et al. Membrane Potential Dynamics of GABAergic Neurons in the Barrel Cortex of Behaving Mice , 2010, Neuron.
[64] Brent Doiron,et al. Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[65] Klas H. Pettersen,et al. Modeling the Spatial Reach of the LFP , 2011, Neuron.
[66] Stefan Rotter,et al. Recurrent interactions in spiking networks with arbitrary topology. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.
[67] D. Amit,et al. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. , 1997, Cerebral cortex.
[68] Ad Aertsen,et al. A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex , 2010, Progress in Neurobiology.