VS265: Slides

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

• Oct30 Video
• Nov4 Video
• Nov6 Video
• Nov 13 Video
• Self-organizing maps
• Manifold models
• (an aside on adaptation)

Nov 13

• Attractor neural nets slides

Nov 18

• Guy Isely slides
• Brian Cheung slides
• video

Nov 20

• Probabilistic Models slides
• video

Nov 25

• Boltzmann machine slides
• Nov 25
• Dec 2

Dec 4

• ICA Talk by Tony Bell

Dec 9

• Kalman filter slides
• Spiking neurons slides
• lecture video
• tmp
• File:X.pdf