Dynamic spatiotemporal pattern recognition with recurrent spiking neural network

Dynamic spatiotemporal pattern recognition with recurrent spiking neural network

Our real-time actions in everyday life reflect a range of spatiotemporal dynamic brain activity patterns, the consequence of neuronal computation with spikes in the brain. Most existing models with spiking neurons aim at solving static pattern recognition tasks such as image classification. Compared...

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Bibliographic Details
Main Authors: Liu, J.K (Author), Shen, J. (Author), Wang, Y. (Author)
Format: Article
Language:English
Published: MIT Press Journals 2021
Subjects:
action potential
Action Potentials
algorithm
Algorithms
biological model
Brain
Brain activity patterns
Classification (of information)
Data set
Decoding
human
Humans
Images classification
Learning algorithms
Models, Neurological
Multilayer neural networks
nerve cell
Network layers
Neural Networks, Computer
Neural-networks
Neurons
Pattern recognition
Real- time
Recurrent neural networks
Spatio-temporal dynamics
Spatiotemporal pattern recognition
Spatiotemporal patterns
Spiking Neurones
Static patterns
Statistical tests
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