Spiking Neuron Models 一书全文

[{"title":"（ 74 个子文件 2.06MB ） Spiking Neuron Models 一书全文","children":[{"title":"spike neurons","children":[{"title":"1_8 Summary.mht <span style='color:#111;'> 11.56KB </span>","children":null,"spread":false},{"title":"9_4 Robust transmission of temporal information.mht <span style='color:#111;'> 124.23KB </span>","children":null,"spread":false},{"title":"2_1 Equilibrium potential.mht <span style='color:#111;'> 26.66KB </span>","children":null,"spread":false},{"title":"2_ Detailed Neuron Models.mht <span style='color:#111;'> 10.75KB </span>","children":null,"spread":false},{"title":"10_1 Synaptic Plasticity.mht <span style='color:#111;'> 33.57KB </span>","children":null,"spread":false},{"title":"4_1 Integrate-and-fire model.mht <span style='color:#111;'> 138.13KB </span>","children":null,"spread":false},{"title":"2_3 The Zoo of Ion Channels.mht <span style='color:#111;'> 128.11KB </span>","children":null,"spread":false},{"title":"4_2 Spike response model (SRM).mht <span 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style='color:#111;'> 120.32KB </span>","children":null,"spread":false},{"title":"9_1 Stationary patterns of neuronal activity.mht <span style='color:#111;'> 222.19KB </span>","children":null,"spread":false},{"title":"7_1 Linearized Population Equation.mht <span style='color:#111;'> 226.46KB </span>","children":null,"spread":false},{"title":"4_ Formal Spiking Neuron Models.mht <span style='color:#111;'> 14.87KB </span>","children":null,"spread":false},{"title":"2_4 Synapses.mht <span style='color:#111;'> 39.91KB </span>","children":null,"spread":false},{"title":"9_5 Summary.mht <span style='color:#111;'> 8.38KB </span>","children":null,"spread":false},{"title":"4_5 Application Coding by Spikes.mht <span style='color:#111;'> 76.04KB </span>","children":null,"spread":false},{"title":"3_1 Reduction to two dimensions.mht <span style='color:#111;'> 84.28KB </span>","children":null,"spread":false},{"title":"6_2 Density Equations.mht <span style='color:#111;'> 279.42KB 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Transients.mht <span style='color:#111;'> 103.71KB </span>","children":null,"spread":false},{"title":"5_8 Stochastic resonance.mht <span style='color:#111;'> 43.37KB </span>","children":null,"spread":false},{"title":"1_ Introduction.mht <span style='color:#111;'> 9.06KB </span>","children":null,"spread":false},{"title":"2_5 Spatial Structure The Dendritic Tree.mht <span style='color:#111;'> 136.65KB </span>","children":null,"spread":false},{"title":"6_1 Fully Connected Homogeneous Network.mht <span style='color:#111;'> 37.29KB </span>","children":null,"spread":false},{"title":"2_6 Compartmental Models.mht <span style='color:#111;'> 47.43KB </span>","children":null,"spread":false},{"title":"6_3 Integral Equations for the Population Activity.mht <span style='color:#111;'> 138.15KB </span>","children":null,"spread":false},{"title":"5_10 Summary.mht <span style='color:#111;'> 14.26KB </span>","children":null,"spread":false},{"title":"9_3 Patterns of spike activity.mht <span style='color:#111;'> 159.31KB </span>","children":null,"spread":false},{"title":"10_3 Spike-Time Dependent Plasticity.mht <span style='color:#111;'> 106.24KB </span>","children":null,"spread":false},{"title":"6_5 Interacting Populations and Continuum Models.mht <span style='color:#111;'> 74.88KB </span>","children":null,"spread":false},{"title":"11_1 Learning in Rate Models.mht <span style='color:#111;'> 337.51KB </span>","children":null,"spread":false},{"title":"6_6 Limitations.mht <span style='color:#111;'> 13.51KB </span>","children":null,"spread":false},{"title":"7_4 The Significance of a Single Spike.mht <span style='color:#111;'> 123.26KB </span>","children":null,"spread":false},{"title":"11_2 Learning in Spiking Models.mht <span style='color:#111;'> 252.33KB </span>","children":null,"spread":false},{"title":"10_2 Rate-Based Hebbian Learning.mht <span style='color:#111;'> 80.77KB </span>","children":null,"spread":false},{"title":"12_3 Sequence Learning.mht <span style='color:#111;'> 53.31KB </span>","children":null,"spread":false},{"title":"10_4 Detailed Models of Synaptic Plasticity.mht <span style='color:#111;'> 189.63KB </span>","children":null,"spread":false},{"title":"5_2 Statistics of spike trains.mht <span style='color:#111;'> 221.46KB </span>","children":null,"spread":false},{"title":"12_2 Learning to be Precise.mht <span style='color:#111;'> 120.53KB </span>","children":null,"spread":false},{"title":"12_4 Subtraction of Expectations.mht <span style='color:#111;'> 54.22KB </span>","children":null,"spread":false},{"title":"1_7 Discussion Spikes or Rates.mht <span style='color:#111;'> 27.77KB </span>","children":null,"spread":false},{"title":"2_2 Hodgkin-Huxley Model.mht <span style='color:#111;'> 92.77KB </span>","children":null,"spread":false},{"title":"8_3 Oscillations in reverberating loops.mht <span style='color:#111;'> 144.30KB </span>","children":null,"spread":false},{"title":"3_3 Threshold and excitability.mht <span style='color:#111;'> 103.10KB </span>","children":null,"spread":false},{"title":"1_3 A Phenomenological Neuron Model.mht <span style='color:#111;'> 62.44KB </span>","children":null,"spread":false},{"title":"3_4 Summary.mht <span style='color:#111;'> 8.95KB </span>","children":null,"spread":false},{"title":"12_5 Transmission of Temporal Codes.mht <span style='color:#111;'> 117.71KB </span>","children":null,"spread":false},{"title":"5_4 Slow noise in the parameters.mht <span style='color:#111;'> 38.99KB </span>","children":null,"spread":false},{"title":"Contents.mht <span style='color:#111;'> 40.35KB </span>","children":null,"spread":false},{"title":"2_7 Summary.mht <span style='color:#111;'> 8.36KB </span>","children":null,"spread":false},{"title":"7_5 Summary.mht <span style='color:#111;'> 14.96KB </span>","children":null,"spread":false},{"title":"1_6 Spike Codes.mht <span style='color:#111;'> 44.30KB </span>","children":null,"spread":false},{"title":"6_4 Asynchronous firing.mht <span style='color:#111;'> 132.97KB </span>","children":null,"spread":false},{"title":"6_7 Summary.mht <span style='color:#111;'> 9.98KB </span>","children":null,"spread":false},{"title":"3_ Two-Dimensional Neuron Models.mht <span style='color:#111;'> 9.42KB </span>","children":null,"spread":false},{"title":"10_5 Summary.mht <span style='color:#111;'> 13.08KB </span>","children":null,"spread":false},{"title":"7_3 Transfer Function.mht <span style='color:#111;'> 102.57KB </span>","children":null,"spread":false},{"title":"5_9 Stochastic firing and rate models.mht <span style='color:#111;'> 73.40KB </span>","children":null,"spread":false},{"title":"5_3 Escape noise.mht <span style='color:#111;'> 166.24KB </span>","children":null,"spread":false},{"title":"5_5 Diffusive noise.mht <span style='color:#111;'> 209.15KB </span>","children":null,"spread":false},{"title":"8_2 Synchronized Oscillations and Locking.mht <span style='color:#111;'> 184.00KB 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