Yuanyuan Mi

Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation

2016 · F1000Research

Owing to its many computationally desirable properties, the model of continuous attractor neural networks (CANNs) has been successfully applied to describe the encoding of simple continuous features in neural systems, such as orientation, moving direction, …