Neural voting machines

Authors:
Whitman Richards;H. Sebastian Seung;Galen Pickard
Affiliations:
Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA and Brain and Cognitive Sciences Departments, Massachusetts Institute of Technology, ...;Brain and Cognitive Sciences Departments, Massachusetts Institute of Technology, Cambridge, MA and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA;Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA
Venue:
Neural Networks - 2006 Special issue: Neurobiology of decision making
Year:
2006

Citing 2
Cited 0

The probability of collective choice with shared knowledge structures

Journal of Mathematical Psychology
On the Computational Power of Winner-Take-All

Neural Computation

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Abstract

A "Winner-take-all" network is a computational mechanism for picking an alternative with the largest excitatory input. This choice is far from optimal when there is uncertainty in the strength of the inputs, and when information is available about how alternatives may be related. For some time, the Social Choice community has recognized that many other procedures will yield more robust winners. The Borda Count and the pair-wise Condorcet tally are among the most favored. If biological systems strive to optimize information aggregation, then it is of interest to examine the complexity of networks that implement these procedures. We offer two biologically feasible implementations that are relatively simple modifications of classical recurrent networks.