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A Controlled Attractor Network Model of Path Integration in the Rat
 

Summary: A Controlled Attractor Network Model of Path
Integration in the Rat
John Conklin
Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1,
Canada, jmlconkl@uwaterloo.ca
Chris Eliasmith
Philosophy and Systems Design Engineering, University of Waterloo, Waterloo,
Ontario, N2L 3G1, Canada, celiasmith@uwaterloo.ca, (519) 888-4567 x2638.
Corresponding author.
Keywords
Path Integration; attractor network; neural control; hippocampus; subiculum
Abstract
Cells in several areas of the hippocampal formation show place spe-
cific firing patterns, and are thought to form a distributed representation of
an animal's current location in an environment. Experimental results sug-
gest that this representation is continually updated even in complete dark-
ness, indicating the presence of a path integration mechanism in the rat.
Adopting the Neural Engineering Framework (NEF) presented by Elia-
smith and Anderson (2003) we derive a novel attractor network model of
path integration, using heterogeneous spiking neurons. The network we

  

Source: Anderson, Charles H. - Departments of Anatomy and Neurobiology & Physics, Washington University in St. Louis

 

Collections: Computer Technologies and Information Sciences; Biology and Medicine