Name
Abstract | ||
|---|---|---|
Recent experiments have revealed the presence of neural fingerprints in the activity of several neurons of the pyloric central pattern generator of crustacean. These signatures consist of specific spike timings in the bursting activity of the neurons. The existence of cellular mechanisms to identify the origin of individual neural signals, and the study of information processing based on this identification have been neglected in the context of theoretical approaches to the nervous system. In this paper, we present a simple model to study the ability of a neural network to process information based on the emission and recognition of neural signatures. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.neucom.2004.01.020 | Neurocomputing |
Keywords | Field | DocType |
Neural signatures,Processing based on signal identification | Bursting,Information processing,Pattern recognition,Nervous system,Artificial intelligence,Neural decoding,Artificial neural network,Central pattern generator,Spiking neural network,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
58 | 0925-2312 | 2 |
PageRank | References | Authors |
0.39 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Tristán | 1 | 12 | 1.07 |
| Francisco B. Rodríguez | 2 | 144 | 22.95 |
| Eduardo Serrano | 3 | 46 | 9.46 |
| Pablo Varona | 4 | 248 | 29.83 |