Neural Computation Journal Issues Research Articles in Vol. 33, No. 4
April 13, 2021
April 13, 2021
CAMBRIDGE, Massachusetts, April 13 -- Neural Computation, a peer-reviewed journal that says it features theory, modeling, computation and statistics in neuroscience and in the design and construction of neurally inspired information processing systems, published research articles on the following topics in its Vol. 33, No. 4 edition:
Articles:
* How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning
* The Remarkable Robustn . . .
Articles:
* How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning
* The Remarkable Robustn . . .