Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities
暂无分享,去创建一个
[1] 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.
[2] W. Gerstner,et al. Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity , 2006, The Journal of Neuroscience.
[3] Wulfram Gerstner,et al. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. , 2005, Journal of neurophysiology.
[4] W. Gerstner,et al. Connectivity reflects coding: a model of voltage-based STDP with homeostasis , 2010, Nature Neuroscience.
[5] D. Buonomano,et al. Distinct Functional Types of Associative Long-Term Potentiation in Neocortical and Hippocampal Pyramidal Neurons , 1999, The Journal of Neuroscience.
[6] Michele Pignatelli. Structure and function of the olfactory bulb microcircuit , 2009 .
[7] Misha Tsodyks,et al. Persistent Activity in Neural Networks with Dynamic Synapses , 2007, PLoS Comput. Biol..
[8] Henry C. Tuckwell,et al. Stochastic processes in the neurosciences , 1989 .
[9] M. Tsodyks,et al. Synaptic Theory of Working Memory , 2008, Science.
[10] Thomas K. Berger,et al. Heterogeneity in the pyramidal network of the medial prefrontal cortex , 2006, Nature Neuroscience.
[11] J. Pfister,et al. A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations , 2011, Proceedings of the National Academy of Sciences.
[12] P. J. Sjöström,et al. Rate, Timing, and Cooperativity Jointly Determine Cortical Synaptic Plasticity , 2001, Neuron.