|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'501'711
Articles rated: 2609
20 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Noise in neurons is message-dependent | | Guillermo A. Cecchi
; Mariano Sigman
; Jose-Manuel Alonso
; Luis Martinez
; Dante R. Chialvo
; Marcelo O. Magnasco
; | | Date: |
28 Apr 2000 | | Journal: | Proceedings of the National Academy of Sciences, 97(10), 5557-61 (2000) | | Subject: | Disordered Systems and Neural Networks | cond-mat.dis-nn q-bio | | Abstract: | Neuronal responses are conspicuously variable. We focus on one particular aspect of that variability: the precision of action potential timing. We show that for common models of noisy spike generation, elementary considerations imply that such variability is a function of the input, and can be made arbitrarily large or small by a suitable choice of inputs. Our considerations are expected to extend to virtually any mechanism of spike generation, and we illustrate them with data from the visual pathway. Thus, a simplification usually made in the application of information theory to neural processing is violated: noise {sl is not independent of the message}. However, we also show the existence of {sl error-correcting} topologies, which can achieve better timing reliability than their components. | | Source: | arXiv, cond-mat/0004492 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER