Vector Reconstruction from Firing Rates

Vector Reconstruction from Firing Rates (1994)

by Emilio Salinas , L. F. Abbott

Citations:

78 - 7 self

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	Vector Reconstruction from Firing Rates	user correction - Legacy Corrections
AUTHOR NAME	Emilio Salinas	user correction - Legacy Corrections
AUTHOR NAME	L. F. Abbott	user correction - Legacy Corrections
AUTHOR AFFIL	Center for Complex Systems, Brandeis University, Waltham	user correction - Legacy Corrections
AUTHOR ADDR	MA 02254	user correction - Legacy Corrections
ABSTRACT	. In a number of systems including wind detection in the cricket, visual motion perception and coding of arm movement direction in the monkey and place cell response to position in the rat hippocampus, firing rates in a population of tuned neurons are correlated with a vector quantity. We examine and compare several methods that allow the coded vector to be reconstructed from measured firing rates. In cases where the neuronal tuning curves resemble cosines, linear reconstruction methods work as well as more complex statistical methods requiring more detailed information about the responses of the coding neurons. We present a new linear method, the optimal linear estimator (OLE), that on average provides the best possible linear reconstruction. This method is compared with the more familiar vector method and shown to produce more accurate reconstructions using far fewer recorded neurons. Introduction To determine how information is represented by nervous systems, we need to understand ...	user correction - Legacy Corrections
YEAR	1994	user correction - Legacy Corrections
CITATIONS	52 found	ParsCit 1.0