Abstract
In this article, we attempt to develop an approach called Dry Electrophysiology (DEP) that aims to understand the internal representation of brain functions. DEP adopts a combined strategy of top-down and bottom-up analysis via neural networks; a neural network is trained to perform a certain computational task of particular part of brain according to an optimality criterion, and then, components of the neural network are probed and the emerging internal representation is compared with the wet experimental data from real neurons or brain functions
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© 1994 Springer-Verlag London Limited
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Usui, S., Nakauchi, S. (1994). Dry Electrophysiology:An approach to the internal representation of brain functions through artificial neural networks. In: Marinaro, M., Morasso, P.G. (eds) ICANN ’94. ICANN 1994. Springer, London. https://doi.org/10.1007/978-1-4471-2097-1_28
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DOI: https://doi.org/10.1007/978-1-4471-2097-1_28
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