Implementing robust neuromodulation in neuromorphic circuits

Geometric methods; Neuromodulation; Neuromorphic engineering; Realization theory; Geometric method; High-dimensional; Input-output properties; Neuromorphic; Neuromorphic circuits; Computer Science Applications; Cognitive Neuroscience; Artificial Intelligence; Mathematics - Optimization and Control; Quantitative Biology - Neurons and Cognition

Abstract :

[en] We introduce a methodology to implement the physiological transition between distinct neuronal spiking modes in electronic circuits composed of resistors, capacitors and transistors. The result is a simple neuromorphic device organized by the same geometry and exhibiting the same input–output properties as high-dimensional electrophysiological neuron models. Preliminary experimental results highlight the robustness of the approach in real-world applications.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Castaños, Fernando; Centro de Investigación y de Estudios Avanzados, Instituto Politécnico Nacional, Mexico

Franci, Alessio ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Brain-Inspired Computing ; Universidad National Autonoma de México, Facultad de Ciencias, Mexico

Language :

English

Title :

Implementing robust neuromodulation in neuromorphic circuits

Publication date :

12 April 2017

Journal title :

Neurocomputing

ISSN :

0925-2312

eISSN :

1872-8286

Publisher :

Elsevier B.V.

Volume :

233

Pages :

3 - 13

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0925231216313492?httpAccept=text/xml

Available on ORBi :

since 26 May 2023

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