Neural Information Processing Systems

Workshops: Preliminary Schedule

Friday, December 6

Neural modulation and neural information processing

A. Tang and C. Linster

(Web page will be available by 16 Dec.)

Population coding: Interpreting the responses of neuronal populations

A. Pouget, R. Zemel, P. Dayan

Model complexity

C. Williams & J. Utans

ANNs and continuous optimization: Local minima, sub-optimality and computational complexity

M. Gori and M. Protasi

The structure of natural images and efficient image coding

D. Ruderman and B. Olshausen

Dynamical recurrent networks

Day 1: J. Howse and B. Horne

Connectionist modelling of auditory scene analysis

G. Brown and D. Wang

Rule extraction from ANNs

R. Andrews

Cancelled. An Era of Integration of Various Statistical Learning Paradigams and Theories? Cancelled.

L. Xu and S. Amari

Saturday, December 7

Cortical magnification

G. Blasdel

Synaptic transmission: Reliability and variability

V. Murthy and T. Zador

Tricks of the trade: How to really make algorithms work

G. Orr, K. Mueller, & R. Caruana

European Mirror

What does accuracy really mean?

H. Burke and A. Hoang

Modelling error surfaces

S. Mukherjee and T. Fine

Learning vision

A. Yuille and A. Blake

Dynamical recurrent networks

Day 2: J. Kolen and S. Kremer

Nature inspired algorithms for combinatorial optimization

A. Jagota

Blind signal processing

A. Cichocki and A. Back

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We have attempted to ensure that all information is correct, but we cannot guarantee it.

Please send comments and corrections to:

L. Douglas Baker

Carnegie Mellon University

ldbapp+nips@cs.cmu.edu