Quantifying impacts of short-term plasticity on neuronal information transfer.
暂无分享,去创建一个
[1] W G Regehr,et al. Calcium Dependence and Recovery Kinetics of Presynaptic Depression at the Climbing Fiber to Purkinje Cell Synapse , 1998, The Journal of Neuroscience.
[2] B. Sakmann,et al. Dynamic Receptive Fields of Reconstructed Pyramidal Cells in Layers 3 and 2 of Rat Somatosensory Barrel Cortex , 2003, The Journal of physiology.
[3] Christian Stricker,et al. Functional connectivity in layer IV local excitatory circuits of rat somatosensory cortex. , 2004, Journal of neurophysiology.
[4] Idan Segev,et al. The information efficacy of a synapse , 2002, Nature Neuroscience.
[5] Si Wu,et al. Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility , 2011, Neural Computation.
[6] Inés Samengo,et al. The information transmitted by spike patterns in single neurons , 2009, Journal of Physiology-Paris.
[7] D. Brody,et al. Release-Independent Short-Term Synaptic Depression in Cultured Hippocampal Neurons , 2000, The Journal of Neuroscience.
[8] D. Kullmann,et al. Presynaptic fluctuations and release-independent depression , 2006, Nature Neuroscience.
[9] William Bialek,et al. Entropy and Information in Neural Spike Trains , 1996, cond-mat/9603127.
[10] Leonard K. Kaczmarek,et al. High-frequency firing helps replenish the readily releasable pool of synaptic vesicles , 1998, Nature.
[11] Robert Haslinger,et al. The Computational Structure of Spike Trains , 2009, Neural Computation.
[12] H. Markram,et al. Redistribution of synaptic efficacy between neocortical pyramidal neurons , 1996, Nature.
[13] B. Sakmann,et al. ‐Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex , 2002, The Journal of physiology.
[14] Henry Markram,et al. Coding of temporal information by activity-dependent synapses. , 2002, Journal of neurophysiology.
[15] D. Johnston,et al. Plasticity of dendritic excitability. , 2005, Journal of neurobiology.
[16] D. Pinkel,et al. Supporting Online Material Materials and Methods Figs. S1 and S2 Tables S1 and S2 References Combined Analog and Action Potential Coding in Hippocampal Mossy Fibers , 2022 .
[17] Bert Sakmann,et al. Sub‐ and suprathreshold receptive field properties of pyramidal neurones in layers 5A and 5B of rat somatosensory barrel cortex , 2004, The Journal of physiology.
[18] C. Stevens,et al. Very short-term plasticity in hippocampal synapses. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[19] W. Regehr,et al. Short-term synaptic plasticity. , 2002, Annual review of physiology.
[20] C. Heckman,et al. Adjustable Amplification of Synaptic Input in the Dendrites of Spinal Motoneurons In Vivo , 2000, The Journal of Neuroscience.
[21] M S Baptista,et al. Combined effect of chemical and electrical synapses in Hindmarsh-Rose neural networks on synchronization and the rate of information. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] R. Miles,et al. Variation in strength of inhibitory synapses in the CA3 region of guinea‐pig hippocampus in vitro. , 1990, The Journal of physiology.
[23] A. Larkman,et al. Dendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions , 1991, The Journal of comparative neurology.
[24] J. Lübke,et al. Reliable synaptic connections between pairs of excitatory layer 4 neurones within a single ‘barrel’ of developing rat somatosensory cortex , 1999, The Journal of physiology.
[25] Wulfram Gerstner,et al. How Good Are Neuron Models? , 2009, Science.
[26] K. Y. Wong,et al. Dynamical Synapses Enhance Neural Information Processing: Mobility, Memory and Decoding , 2011 .
[27] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[28] G D Lewen,et al. Reproducibility and Variability in Neural Spike Trains , 1997, Science.
[29] L. Abbott,et al. Synaptic Depression and Cortical Gain Control , 1997, Science.
[30] H. Markram,et al. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[31] L. Abbott,et al. Synaptic computation , 2004, Nature.
[32] Rufin van Rullen,et al. Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex , 2001, Neural Computation.
[33] Roger D. Traub,et al. Pyramidal cell-to-inhibitory cell spike transduction explicable by active dendritic conductances in inhibitory cell , 1995, Journal of Computational Neuroscience.
[34] X. Wang,et al. Implications of All-or-None Synaptic Transmission and Short-Term Depression beyond Vesicle Depletion: A Computational Study , 2000, The Journal of Neuroscience.
[35] A. Thomson,et al. Release‐independent depression at pyramidal inputs onto specific cell targets: dual recordings in slices of rat cortex , 1999, The Journal of physiology.
[36] Anatol C. Kreitzer,et al. Interplay between Facilitation, Depression, and Residual Calcium at Three Presynaptic Terminals , 2000, The Journal of Neuroscience.
[37] E. Rolls,et al. Object perception in natural scenes: encoding by inferior temporal cortex simultaneously recorded neurons. , 2005, Journal of neurophysiology.
[38] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[39] N. Parga,et al. Short-term Synaptic Depression Causes a Non-monotonic Response to Correlated Stimuli , 2022 .
[40] D. McCormick,et al. Modulation of intracortical synaptic potentials by presynaptic somatic membrane potential , 2006, Nature.
[41] A. Zador. Impact of synaptic unreliability on the information transmitted by spiking neurons. , 1998, Journal of neurophysiology.
[42] Idan Segev,et al. Multiple mechanisms govern the dynamics of depression at neocortical synapses of young rats , 2004, The Journal of physiology.
[43] H. Markram,et al. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. , 1997, The Journal of physiology.
[44] Mikko Juusola,et al. Stimulus History Reliably Shapes Action Potential Waveforms of Cortical Neurons , 2005, The Journal of Neuroscience.