Abstract
Usually we have assumed that the neuron was the “atom” in the architecture of the Neurons System. However, there is such a wealth of drendo-dendritic connections and synaptic mechanisms that it seems essential to distinguish different styles of analog microcomputation.
In this paper we look inside the synaptic structure after a local process of accumulation of persistent activity and their discharge towards the spike trigger zone. To illustrate the usefulness of this information processing behaviour in image motion analysis, and architecture for extraction and selection of length velocity ratio invariants (LVR) is proposed, simulated and partially evaluated.
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Fernández, M.A., Mira, J., López, M.T., Álvarez, J.R., Manjarrés, A., Barro, S. (1995). Local accumulation of persistent activity at synaptic level: Application to motion analysis. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_167
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DOI: https://doi.org/10.1007/3-540-59497-3_167
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