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Accuracy and response-time distributions for decision-making: linear perfect integrators versus nonlinear attractor-based neural circuits
Animals choose actions based on imperfect, ambiguous data. “Noise” inherent in neural processing adds further variability to this already-noisy input signal. Mathematical analysis has suggested that the optimal apparatus (in terms of the speed/accuracy trade-off) for reaching decisions about such no...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825033/ https://www.ncbi.nlm.nih.gov/pubmed/23608921 http://dx.doi.org/10.1007/s10827-013-0452-x |