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Writing ToDo list

Introduction

intro

computational-neuroscience

notation

usage-julia-lang

linear-algebra

differential-equation

linear-regression

probability-information-theory

stochastic-process-differential-equation

neuron-model

neuron-physiol

hodgkin-huxley

fhn

lif

izhikevich

isi

neurite-growth-model

synapse-model

synapse-physiol

current-conductance-synapse

expo-synapse

kinetic-synapse

synaptic-weighted

dynamical-synapses

neuronal-computation

sections:

  • file: neuronal-computation/neuronal-arithmetic
  • file: local-learning-rule/intro sections:
    • file: local-learning-rule/pca-hebbian-learning
    • file: local-learning-rule/mds-anti-hebbian-learning
    • file: local-learning-rule/slow-feature-analysis
    • file: local-learning-rule/stdp-learning
    • file: local-learning-rule/logistic-regression-perceptron
    • file: local-learning-rule/self-organizing-map
    • file: local-learning-rule/heavy-tail

energy-based-model

sections:

  • file: energy-based-model/energy-based-model
  • file: energy-based-model/hopfield-model
  • file: energy-based-model/boltzmann-machine
  • file: energy-based-model/sparse-coding
  • file: energy-based-model/predictive-coding

solve-credit-assignment-problem

sections:

  • file: solve-credit-assignment-problem/backpropagation
  • file: solve-credit-assignment-problem/linear-network-learning-dynamics
  • file: solve-credit-assignment-problem/bptt
  • file: solve-credit-assignment-problem/surrogate-gradient-snn
  • file: solve-credit-assignment-problem/reservoir-computing

motor-learning

sections:

  • file: motor-learning/minimum-jerk
  • file: motor-learning/minimum-variance
  • file: motor-learning/optimal-feedback-control
  • file: motor-learning/infinite-horizon-ofc
  • file: motor-learning/local-learning-ofc
  • file: motor-learning/rat-trajectory

reinforcement-learning

sections:

  • file: reinforcement-learning/td-learning

bayesian-brain

sections:

  • file: bayesian-brain/neural-uncertainty-representation
  • file: bayesian-brain/bayesian-linear-regression
  • file: bayesian-brain/mcmc
  • file: bayesian-brain/neural-sampling
  • file: bayesian-brain/probabilistic-population-coding
  • file: bayesian-brain/quantile-expectile-regression
  • file: appendix/intro sections:
    • file: appendix/grid-cells-decoding
    • file: appendix/graph-theory-network-model
    • file: appendix/useful-links
    • file: appendix/usage-jupyter-book