Name
Abstract | ||
|---|---|---|
Based on the principle of energy coding, an interesting finding in this paper is that in some subsets of neurons, firing action potentials at the supra-threshold and some others simultaneously perform activities at the sub-threshold level in neural ensembles. Numerical computational results show that a possible dynamic mechanism in the brain information processing is merely energy coding. Notably, this kind of coupling in biological neural networks has not been found in other models of biological neural networks. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICNC.2008.492 | Natural Computation, 2008. ICNC '08. Fourth International Conference |
Keywords | Field | DocType |
neuronal population,energy function,neural ensembles,numerical analysis,biology,brain information processing,numerical simulation,brain,energy coding,neural nets,biological neural networks | Population,Information processing,Computer science,Coding (social sciences),Neural decoding,Artificial intelligence,Spiking neural network,Winner-take-all,Artificial neural network,Machine learning,Encoding (memory) | Conference |
Volume | Issue | ISSN |
3 | null | null |
ISBN | Citations | PageRank |
978-0-7695-3304-9 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubin Wang | 1 | 141 | 25.54 |
| Zhikang Zhang | 2 | 66 | 11.91 |
| Shen Enhua | 3 | 0 | 0.34 |