Biomimetic neural network for modifying biological dynamics during hybrid experiments

Biomimetic neural network for modifying biological dynamics during hybrid experiments Electrical stimulation of nerve tissue and recording of neural electrical activity are the basis of emerging prostheses and treatments for many neurological disorders. Here we present closed-loop bio-hybrid experiment using in vitro biological neuronal network (BNN) with an artificial neural network (ANN) implemented in a neuromorphic board. We adopted a neuromorphic board which is able to perform real-time event detection and trigger an electrical stimulation of the BNN. This system embeds an ANN, based on Izhikevich neurons which can be put in uni- and bi-directional communication with the BNN. The ANN used in the following experiments was made up of 20 excitatory neurons with inhibition synapse and with synaptic plasticity to design central pattern generator. Open-loop and closed-loop hybrid experiments show that the biological dynamics can be modified. This work can be seen as the first step towards the realization of an innovative neuroprosthesis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Life and Robotics Springer Journals

Biomimetic neural network for modifying biological dynamics during hybrid experiments

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Publisher
Springer Japan
Copyright
Copyright © 2017 by Euratom: University of Bordeaux; European Union
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Control, Robotics, Mechatronics
ISSN
1433-5298
eISSN
1614-7456
D.O.I.
10.1007/s10015-017-0366-1
Publisher site
See Article on Publisher Site

Abstract

Electrical stimulation of nerve tissue and recording of neural electrical activity are the basis of emerging prostheses and treatments for many neurological disorders. Here we present closed-loop bio-hybrid experiment using in vitro biological neuronal network (BNN) with an artificial neural network (ANN) implemented in a neuromorphic board. We adopted a neuromorphic board which is able to perform real-time event detection and trigger an electrical stimulation of the BNN. This system embeds an ANN, based on Izhikevich neurons which can be put in uni- and bi-directional communication with the BNN. The ANN used in the following experiments was made up of 20 excitatory neurons with inhibition synapse and with synaptic plasticity to design central pattern generator. Open-loop and closed-loop hybrid experiments show that the biological dynamics can be modified. This work can be seen as the first step towards the realization of an innovative neuroprosthesis.

Journal

Artificial Life and RoboticsSpringer Journals

Published: May 22, 2017

References

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