In the current paper, we introduce a high-level approach for an integration of a neuromorphic memristive neuron in a real-time operating robotic system. The memristive neuron schematic, which we had presented in our earlier works, is capable of inhibitory and excitatory learning (eSTDP, iSTDP) as well as modulation via dopamine input. We discuss a possibility of integration of the analog memristive neuron into a digital robotic embodiment and present block diagram of an adapter that includes pseudo-neuronal encoder and decoder.

Memristive neuron integration in digital robotic embodiment

Erokhin Victor
2018

Abstract

In the current paper, we introduce a high-level approach for an integration of a neuromorphic memristive neuron in a real-time operating robotic system. The memristive neuron schematic, which we had presented in our earlier works, is capable of inhibitory and excitatory learning (eSTDP, iSTDP) as well as modulation via dopamine input. We discuss a possibility of integration of the analog memristive neuron into a digital robotic embodiment and present block diagram of an adapter that includes pseudo-neuronal encoder and decoder.
2018
Istituto dei Materiali per l'Elettronica ed il Magnetismo - IMEM
Inglese
Sugisaka, M; Jia, Y; Ito, T; Lee, JJ
ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS
International Conference on Artificial Life and Robotics (ICAROB)
200
203
4
978-4-9908350-3-3
Sì, ma tipo non specificato
01-04/02/2018
Beppu, JAPAN
artificial intelligence
robotics
spiking neural network
memristors
1
none
Talanov, Max; Zykov, Evgenii; Gerasimov, Yuriy; Magid, Evgeni; Elizarov, Aleksander; Erokhin, Victor
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/374289
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