Article (Scientific journals)
Implementing robust neuromodulation in neuromorphic circuits
Castaños, Fernando; Franci, Alessio
2017In Neurocomputing, 233, p. 3 - 13
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Keywords :
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
Available on ORBi :
since 26 May 2023

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