Summary: A Controlled Attractor Network Model of Path
Integration in the Rat
Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1,
Philosophy and Systems Design Engineering, University of Waterloo, Waterloo,
Ontario, N2L 3G1, Canada, firstname.lastname@example.org, (519) 888-4567 x2638.
Path Integration; attractor network; neural control; hippocampus; subiculum
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