Path integration using a model of e-vector orientation coding in the insect brain: reply to Vickerstaff and Di Paolo

Wessnitzer, Jan and Haferlach, Thomas and Mangan, Michael and Webb, Barbara (2008) Path integration using a model of e-vector orientation coding in the insect brain: reply to Vickerstaff and Di Paolo. Adaptive Behavior, 16 (4). pp. 277-281. ISSN 1059-7123

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Abstract

In their response to our article (Haferlach, Wessnitzer,
Mangan, & Webb, 2007), Vickerstaff and Di Paolo
correctly note that the response function of input units
used to evolve our network was the same cos(ha – hp)
as that used by Vickerstaff and Di Paolo (2005), and
resembles the POL neuron arrangement in insects
(Labhart & Meyer, 2002) only in the use of three
instead of two such units. However it is important to
note that our evolved network structure—which maintains
a population encoding of the home vector over a
set of memory neurons that integrate the input coming
from the direction cells—is in fact generalizable to a
wide range of direction cell response functions. To
demonstrate this point, we here show the results of
integrating this network with a very recent model of
e-Vector orientation coding in the central complex of
the insect brain (Sakura, Lambrinos, & Labhart,
2008)

Keywords:Path integration, Direction cells, Genetic algorithm, Neural network, Simulation, Robot
Subjects:D Veterinary Sciences, Agriculture and related subjects > D300 Animal Science
G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
ID Code:23578
Deposited On:03 Aug 2016 12:06

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