Impact of noise structure and network topology on tracking speed of neural networks
暂无分享,去创建一个
Si Wu | Yuwei Cui | Danke Zhang | Longwen Huang | Si Wu | Yuwei Cui | Danke Zhang | Longwen Huang
[1] G. Buzsáki,et al. Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model , 1996, The Journal of Neuroscience.
[2] A. Hodgkin,et al. Measurement of current‐voltage relations in the membrane of the giant axon of Loligo , 1952, The Journal of physiology.
[3] Wulfram Gerstner,et al. Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking , 2000, Neural Computation.
[4] Nicolas Brunel,et al. Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates , 1999, Neural Computation.
[5] G. Orban,et al. The response variability of striate cortical neurons in the behaving monkey , 2004, Experimental Brain Research.
[6] William T Newsome,et al. Is there a signal in the noise? , 1995, Current Opinion in Neurobiology.
[7] E. Adrian,et al. The impulses produced by sensory nerve‐endings , 1926 .
[8] J D Schall,et al. Retinal constraints on orientation specificity in cat visual cortex , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[9] M. Alexander,et al. Principles of Neural Science , 1981 .
[10] J. Lacaille,et al. Membrane properties of interneurons in stratum oriens-alveus of the CA1 region of rat hippocampus in vitro , 1990, Neuroscience.
[11] H. Risken,et al. Fokker-Planck Equation for One Variable; Methods of Solution , 1996 .
[12] B. Finlay,et al. Short-term response variability of monkey striate neurons , 1976, Brain Research.
[13] E. Adrian,et al. The impulses produced by sensory nerve-endings: Part II. The response of a Single End-Organ. , 2006, The Journal of physiology.
[14] H Markram,et al. Dynamics of population rate codes in ensembles of neocortical neurons. , 2004, Journal of neurophysiology.
[15] Bruce W. Knight,et al. Dynamics of Encoding in a Population of Neurons , 1972, The Journal of general physiology.
[16] S. Thorpe,et al. Speed of processing in the human visual system , 1996, Nature.
[17] Mark C. W. van Rossum,et al. Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons , 2002, The Journal of Neuroscience.
[18] A. Destexhe,et al. The high-conductance state of neocortical neurons in vivo , 2003, Nature Reviews Neuroscience.
[19] William R. Softky,et al. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[20] H. Sompolinsky,et al. Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.
[21] Kenji Kawano,et al. Global and fine information coded by single neurons in the temporal visual cortex , 1999, Nature.
[22] Si Wu,et al. Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks , 2010, ISNN.
[23] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1990 .
[24] S. Thorpe,et al. Dynamics of orientation coding in area V1 of the awake primate , 1993, Visual Neuroscience.
[25] J. Rinzel,et al. Spindle rhythmicity in the reticularis thalami nucleus: Synchronization among mutually inhibitory neurons , 1993, Neuroscience.
[26] Thomas P. Trappenberg,et al. Fundamentals of Computational Neuroscience , 2002 .
[27] J. Elgin. The Fokker-Planck Equation: Methods of Solution and Applications , 1984 .
[28] D. Perkel,et al. Quantitative methods for predicting neuronal behavior , 1981, Neuroscience.
[29] Maurizio Mattia,et al. Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons , 1999, Neural Computation.
[30] A. Leventhal,et al. Signal timing across the macaque visual system. , 1998, Journal of neurophysiology.
[31] H. Wigström,et al. Shape of frequency-current curves in CAI pyramidal cells in the hippocampus , 1981, Brain Research.
[32] D. Amit,et al. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. , 1997, Cerebral cortex.
[33] H. Tuckwell. Introduction to Theoretical Neurobiology: Linear Cable Theory and Dendritic Structure , 1988 .
[34] G. Orban,et al. Response latency of macaque area MT/V5 neurons and its relationship to stimulus parameters. , 1999, Journal of neurophysiology.