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Modelling Neural Dynamics with Optics: A New Approach to Simulate Spiking Neurons through an Asynchronous Laser
- Source :
- Electronics, Vol 9, Iss 1853, p 1853 (2020), Electronics, Volume 9, Issue 11
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- In this paper, we propose a novel approach for implementing spiking neurons through an optical system. Spiking neurons are a new approach to emulate the neural processes that occur in the brain, known as the third generation of artificial neural networks. They have been successfully used to build a new technology called neuromorphic engineering, which looks for a better performance than traditional computing in tasks usually performed by AI-based systems. Our optical system consists of a low-cost laser source, based on a microcontroller and a continuous-wave laser diode<br />the microcontroller allows producing synchronous or asynchronous pulses with complex time profiles. Here, through said system we have successfully reproduced most of the neural dynamics observed in biological neurons. These dynamics have been reproduced using a very simple optical array with a great potential for the development of neuromorphic systems. The optical system has been experimentally validated.
- Subjects :
- neural dynamics
Computer Networks and Communications
Computer science
Computer Science::Neural and Evolutionary Computation
Physics::Optics
lcsh:TK7800-8360
02 engineering and technology
law.invention
03 medical and health sciences
0302 clinical medicine
law
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical and Electronic Engineering
Artificial neural network
Quantitative Biology::Neurons and Cognition
spiking neurons
lcsh:Electronics
Laser
neuromorphic computing
Neuromorphic engineering
optical system
Hardware and Architecture
Control and Systems Engineering
Asynchronous communication
Dynamics (music)
Signal Processing
020201 artificial intelligence & image processing
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20799292
- Volume :
- 9
- Issue :
- 1853
- Database :
- OpenAIRE
- Journal :
- Electronics
- Accession number :
- edsair.doi.dedup.....15678eae68d6f52a3d0258179ce10684