Artificial Neural Networks as Models of Neural Information Processing
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspect...
Saved in:
Main Author: | Marcel van Gerven (auth) |
---|---|
Other Authors: | Sander Bohte (auth) |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Frontiers Media SA
2018
|
Series: | Frontiers Research Topics
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding
by: Cornelius Glackin
Published: (2014) -
Applied Artificial Neural Networks
by: Christian Dawson (Ed.)
Published: (2016) -
Spiking Neural Network Learning, Benchmarking, Programming and Executing
Published: (2020) -
SpiNNaker - A Spiking Neural Network Architecture
Published: (2020) -
SpiNNaker - A Spiking Neural Network Architecture
Published: (2020)