Leech Heartbeat Neural Network on FPGA

Abstract : Most of rhythmic movements are programmed by central pattern-generating networks that comprise neural oscillators. In this article, we implement a real-time biorealistic central pattern generator (CPG) into digital hardware (FPGA). This CPG mimics the Leech heartbeat neural network system. This system is composed of a neuron core from Izhikevich model, a biorealistic synaptic core and a topology to configure the table of connectivity of the different neurons. Our implementation needs few resources and few memories. Thanks to that, we could implement network of these CPG for instance to mimic the behavior of a salamander. Our system is validated by comparing our results to biological data. The next step is to make hybrid experiments with biological neurons.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00956629
Contributor : Timothée Levi <>
Submitted on : Friday, March 7, 2014 - 7:23:03 AM
Last modification on : Thursday, January 11, 2018 - 6:21:07 AM

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  • HAL Id : hal-00956629, version 1

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Matthieu Ambroise, Timothée Levi, Sylvain Saïghi. Leech Heartbeat Neural Network on FPGA. Living Machine, Jul 2013, Londres, United Kingdom. pp.347-349. ⟨hal-00956629⟩

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