Phase organization of network computations
Autor: | Matthew A. Wilson, Miguel Remondes, Carmen Varela |
---|---|
Přispěvatelé: | Massachusetts Institute of Technology. Department of Biology, Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Wilson, Matthew A., Varela, Carmen, Remondes, Armando Miguel |
Rok vydání: | 2015 |
Předmět: |
Neurons
Communication Theoretical computer science Artificial neural network Biological clock business.industry Computer science General Neuroscience Computation Models Neurological Phase (waves) Action Potentials Brain Extremities Article Cognition Biological Clocks Key (cryptography) Animals Humans business Neuroscience |
Zdroj: | PMC |
ISSN: | 0959-4388 |
DOI: | 10.1016/j.conb.2014.12.011 |
Popis: | Coupled oscillations are hypothesized to organize the processing of information across distributed brain circuits. This idea is supported by recent evidence, and newly developed techniques promise to put such theoretical framework to mechanistic testing. We review evidence suggesting that individual oscillatory cycles constitute a functional unit that organizes activity in neural networks, and that oscillatory phase (defined as the fraction of the wave cycle that has elapsed relative to the start of the cycle) is a key oscillatory parameter to implement the functions of oscillations in limbic networks. We highlight neural manipulation techniques that currently allow for causal testing of these hypotheses. |
Databáze: | OpenAIRE |
Externí odkaz: |