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Difference between revisions of "VS265: Reading"

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(Aug 28: Introduction)
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* [http://redwood.berkeley.edu/vs265/linear-algebra/linear-algebra.html Linear algebra primer]
 
* [http://redwood.berkeley.edu/vs265/linear-algebra/linear-algebra.html Linear algebra primer]
 
* Jordan, M.I. [http://redwood.berkeley.edu/vs265/PDP.pdf An Introduction to Linear Algebra in Parallel Distributed Processing] in McClelland and Rumelhart, ''Parallel Distributed Processing'', MIT Press, 1985.
 
* Jordan, M.I. [http://redwood.berkeley.edu/vs265/PDP.pdf An Introduction to Linear Algebra in Parallel Distributed Processing] in McClelland and Rumelhart, ''Parallel Distributed Processing'', MIT Press, 1985.
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==== Sept 11:  Multicompartment models, dendritic integration ====
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* Koch, Single Neuron Computation, Chapter 19
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* Rhodes P (1999) [http://redwood.berkeley.edu/vs265/Rhodes-review.pdf Functional Implications of Active Currents in the Dendrites of Pyramidal Neurons]
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* Schiller J (2003) [http://redwood.berkeley.edu/vs265/Schiller-spikes-dendrites.pdf  Submillisecond Precision of the Input–Output Transformation Function Mediated by Fast Sodium Dendritic Spikes in Basal Dendrites of CA1 Pyramidal Neurons]
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Revision as of 04:49, 10 September 2014

Aug 28: Introduction

Optional:

Sept 2: Neuron models

Background reading on dynamics, linear time-invariant systems and convolution, and differential equations:

Sept 4: Linear neuron, Perceptron

  • HKP chapter 5, DJCM chapters 38-40, 44, DA chapter 8 (sec. 4-6)
  • Linear neuron models
  • Handout on supervised learning in single-stage feedforward networks

Background on linear algebra:

Sept 11: Multicompartment models, dendritic integration




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