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Neural Computing and Applications
Published in: Neural Computing and Applications 14/2020

23-10-2019 | Original Article

Revisiting the XOR problem: a neurorobotic implementation

Authors: André Cyr, Frédéric Thériault, Sylvain Chartier

Published in: Neural Computing and Applications | Issue 14/2020

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Abstract

The exclusive-or (XOR) classification task still represents a challenge in the study of cognition since the precise neural circuit sustaining the general ability to learn nonlinear problems remains to be discovered in natural organisms. As such, this paper focuses on a neurorobotic application embedding a specific spiking neural network built to solve these types of tasks. This experiment proposes a 2-bit task (XOR) with visual compound binary images acting as inputs and a left/right action for the output. The robot learns to solve it in both virtual and real environments from an operant conditioning procedure. Furthermore, the robot also adapts its behavior from learning all other simpler associative rules, even when switching them at runtime. Finally, this study explores the impact on the neural architecture, when passing from a 2-bit to a 3-bit task.
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Metadata
Title
Revisiting the XOR problem: a neurorobotic implementation
Authors
André Cyr
Frédéric Thériault
Sylvain Chartier
Publication date
23-10-2019
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 14/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04522-0

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