Name
Abstract | ||
|---|---|---|
According to the experimental result of signal transmission and neuronal energetic demands being tightly coupled to information coding in the cerebral cortex, the authors present a brand new scientific theory that offers a unique mechanism for brain information processing. They demonstrate that the neural coding produced by the activity of the brain is well described by the theory of energy coding. Due to the energy coding model's ability to reveal mechanisms of brain information processing based upon known biophysical properties, they cannot only reproduce various experimental results of neuroelectrophysiology but also quantitatively explain the recent experimental results from neuroscientists at Yale University by means of the principle of energy coding. Due to the theory of energy coding to bridge the gap between functional connections within a biological neural network and energetic consumption, they estimate that the theory has very important consequences for quantitative research of cognitive function. © 2006 American Institute of Physics. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1063/1.2347118 | Applied Physics Letters |
Keywords | DocType | Volume |
information processing,neural network,neural code,cognitive function,quantitative research | Conference | 89 |
Issue | ISSN | ISBN |
12 | null | 3-540-46479-4 |
Citations | PageRank | References |
10 | 0.96 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubin Wang | 1 | 141 | 25.54 |
| Zhikang Zhang | 2 | 66 | 11.91 |
| Xianfa Jiao | 3 | 31 | 4.96 |