Abstract
Information Theory is used for analyzing the neural code of retinal ganglion cells. This approximation may quantify the amount of information transmitted by the whole population, versus single cells. The redundancy inherent in the code may be determined by obtaining the information bits of increasing cells datasets and by analyzing the relation between the joint information compared with the addition the information achieved by aisle cells. The results support the view that redundancy may play a crucial feature in visual information processing.
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Ferrández, J.M., Bongard, M., García de Quirós, F., Bolea, J.A., Fernández, E. (2002). Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_29
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DOI: https://doi.org/10.1007/3-540-46084-5_29
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