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Difference between revisions of "VS265: Reading"

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(Sept 4: Linear neuron, Perceptron)
(Sept 2: Neuron models)
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==== Sept 2:  Neuron models ====
 
==== Sept 2:  Neuron models ====
* '''HKP''' chapter 5
 
 
* Mead, C. [http://redwood.berkeley.edu/vs265/Mead-intro.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Mead-neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.
 
* Mead, C. [http://redwood.berkeley.edu/vs265/Mead-intro.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Mead-neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.
 
* Carandini M, Heeger D (1994) [http://redwood.berkeley.edu/vs265/carandini-heeger.pdf Summation and division by neurons in primate visual cortex.]  Science, 264: 1333-1336.
 
* Carandini M, Heeger D (1994) [http://redwood.berkeley.edu/vs265/carandini-heeger.pdf Summation and division by neurons in primate visual cortex.]  Science, 264: 1333-1336.

Revision as of 18:32, 1 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 6, 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:




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