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VS265: Slides

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Contents

  • 1 28 Aug
  • 2 4 Sept
  • 3 11 Sept
  • 4 16 Sept
  • 5 18 Sept
  • 6 23,25 Sept
  • 7 Sep 30, Oct 2
  • 8 Oct 7
  • 9 Oct 9
  • 10 Oct 14
  • 11 Oct 16
  • 12 Oct 21,23,28
  • 13 Oct 30, Nov. 4, 6

28 Aug

  • Introduction

4 Sept

  • Neuron models, membrane equation video

11 Sept

  • Paul Rhodes guest lecture video

16 Sept

  • Perceptron model video

18 Sept

  • Supervised learning
  • Neural Networks Followup video

23,25 Sept

  • Unsupervised learning

Sep 30, Oct 2

  • Attractor Networks
  • Sept 30 video
  • Oct2nd Video

Oct 7

  • Jerry Feldman talk

Oct 9

  • Pentti Kanerva talk

Oct 14

  • WTA, Vector Quantization

Oct 16

  • Lecture notes and slides
  • Talk video

Oct 21,23,28

  • Sparse coding slides
  • Oct23rd video
  • Oct28th video

Oct 30, Nov. 4, 6

  • Self-organizing maps
  • Manifold models
  • (an aside on adaptation)
Retrieved from "https://rctn.org/w/index.php?title=VS265:_Slides&oldid=7924"

Redwood Center for Theoretical Neuroscience
University of California, Berkeley
Mailing address:
575A Evans Hall, MC# 3198
Berkeley, CA 94720-3198


©2008 Redwood Center for Theoretical Neuroscience. All rights reserved.

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