Dynamical principles in neuroscience
University of California, San Diego · Universidad Autónoma de Madrid
Abstract
Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors. Many interesting dynamical models of learning and memory based on physiological experiments have been suggested over the last two decades. Dynamical models even of consciousness now exist. Usually these models and results are based on traditional approaches and paradigms of nonlinear dynamics including dynamical chaos. Neural systems are, however, an unusual subject for nonlinear dynamics for several reasons: (i) Even the simplest neural network, with only a few neurons and synaptic connections,…
Citation impact
- FWCI
- 14.04
- Percentile
- 100%
- References
- 326
Authors
4Topics & keywords
- Dynamical systems theory
- Context (archaeology)
- Artificial neural network
- Artificial intelligence
- Computer science
- Cognitive science
- Probabilistic logic
- Nonlinear system