Development and Applications of Biomimetic Neuronal Networks Toward BrainMorphic Artificial Intelligence

This brief presents the brainmorphic artificial intelligence (BMAI) project. The main goal is to generate a novel type of neuromorphic computing systems including novel algorithms and devices, which can achieve very high performance of artificial intelligence (AI) information processing with low pow...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2018-05, Vol.65 (5), p.577-581
Main Authors: Levi, Timothee, Nanami, Takuya, Tange, Atsuya, Aihara, Kazuyuki, Kohno, Takashi
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Biological neural networks
Biological system modeling
biomimetic neural network
Biomimetics
Computational modeling
Data processing
Engineering Sciences
Fruit flies
Neural networks
neuromorphic engineering
Neuromorphics
Neurons
Pattern recognition
Power consumption
Silicon
silicon neuron
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This brief presents the brainmorphic artificial intelligence (BMAI) project. The main goal is to generate a novel type of neuromorphic computing systems including novel algorithms and devices, which can achieve very high performance of artificial intelligence (AI) information processing with low power consumption and which can be very close to biological systems. To reach this goal, we developed biomimetic neural networks. Two systems have been designed, one analog chip and one digital system into FPGA. We present in this brief two applications of these biomimetic neural networks, one in AI with a pattern recognition algorithm and one in neuroscience for understanding the hearing system of Drosophila for designing a new asynchronous low-power sensor system in the future.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2018.2824827