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Conditioned behavior in a robot controlled by a spiking neural network

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Published on Jul 3, 2013

Here, we present a robotic platform designed for implementing and testing spiking neural network control architectures. We demonstrate a neuromorphic realtime approach to sensory processing, reward-based associative plasticity and behavioral control. This is inspired by the biological mechanisms underlying rapid associative learning and the formation of distributed memories in the insect.

Resources :
iqr : http://iqr.sourceforge.net/?file=kop1...
Extended iqr modules: https://github.com/loairpa/iqrextensions

Additional material for the paper :
Conditioned behavior in a robot controlled by a spiking neural network
Lovísa Irpa Helgadottir , Joachim Haenicke, Tim Landgraf, Raul Rojas and Martin P Nawrot (Submitted 2013)

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