| Autor: |
Dimitrov AG; Department of Mathematics and WSU Vancouver Science Programs, Washington State University, Vancouver, WA 98686, USA. alex.dimitrov@vancouver.wsu.edu, Cummins GI, Baker A, Aldworth ZN |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of computational neuroscience [J Comput Neurosci] 2011 Feb; Vol. 30 (1), pp. 163-79. Date of Electronic Publication: 2010 Aug 21. |
| DOI: |
10.1007/s10827-010-0261-4 |
| Abstrakt: |
We present an application of the information distortion approach to neural coding. The approach allows the discovery of neural symbols and the corresponding stimulus space of a neuron or neural ensemble simultaneously and quantitatively, making few assumptions about the nature of either code or relevant features. The neural codebook is derived by quantitizing sensory stimuli and neural responses into small reproduction sets, and optimizing the quantization to minimize the information distortion function. The application of this approach to the analysis of coding in sensory interneurons involved a further restriction of the space of allowed quantitizers to a smaller family of parametric distributions. We show that, for some cells in this system, a significant amount of information is encoded in patterns of spikes that would not be discovered through analyses based on linear stimulus-response measures. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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