Detection of Internal and External Events in Spiking Neural Networks

Sergey Lobov, Victor Kazantsev, Valeri Makarov

2015

Abstract

Networks of spiking neurons implemented in-silico can closely mimic in-vivo neural networks and brain functions. However, their use for hybrid computations remains rather limited. In this work we report two successful cases of development of spiking neural networks for controlling mobile robots. In the first case a neural network drives a toy robot. We show that thus obtained neuroanimat is capable of synchronizing the network activity with external sensory stimuli. Then, the robot produces basic animal behaviors. In the second example we employ spiking neurons in a human-robot interface. The interface is based on a bracelet with electromyographic sensors and recognizes nine hand gestures. The recognized gestures are sent to the robot as motor commands. Our results show that all users after few trials manage to control the robot remotely. We note that in both cases besides neural networks there are no additional external algorithms employed for the decision-making.

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Paper Citation


in Harvard Style

Lobov S., Kazantsev V. and Makarov V. (2015). Detection of Internal and External Events in Spiking Neural Networks . In - NEUROTECHNIX, ISBN , pages 0-0


in Bibtex Style

@conference{neurotechnix15,
author={Sergey Lobov and Victor Kazantsev and Valeri Makarov},
title={Detection of Internal and External Events in Spiking Neural Networks},
booktitle={ - NEUROTECHNIX,},
year={2015},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}


in EndNote Style

TY - CONF
JO - - NEUROTECHNIX,
TI - Detection of Internal and External Events in Spiking Neural Networks
SN -
AU - Lobov S.
AU - Kazantsev V.
AU - Makarov V.
PY - 2015
SP - 0
EP - 0
DO -