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Theoretical Neuroscience Computational and Mathematical Modeling of Neural Systems - Peter Dayan and L. F. Abbott

Contents


INeural Encoding and Decoding
1Neural Encoding I: Firing Rates and Spike Statistics
2Neural Encoding II: Reverse Correlation and Visual Receptive Fields
3Neural Decoding
4Information Theory
IINeurons and Neural Circuits
5Model Neurons I: Neuroelectronics
6Model Neurons II: Conductances and Morphology
7Network Models
IIIAdaptation and Learning
8Plasticity and Learning
9Classical Conditioning and Reinforcement Learning
10Representational Learning
Mathematical Appendix
References

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