Abstract
The referential aspect of a concept can be defined by a disjunction of conjunations of attributes. A single neuron can represent a disjunction of conjunctions of attributes if the assumption that neurons are single-threshold devices is discarded. Instead, one must assume that such concept neurons are composed of hundreds or thousands of (high-threshold) receptive areas, each containing tens or hundreds of synaptic sites. When essentially all of the sites of a receptive area are activated in close temporal contiguity, the receptive area generates a local (spike) response which is assumed to be sufficient to fire the cell body and axon of the neuron. If we assume that all concepts possessed by a single human being can be encoded by single neurons in this manner, there are enough neurons in the human cortex only if we assume that most of these concept neurons are specified by learning. Genetic specification is ruled out by the enormous (infinite?) nember of possible concepts humans appear to be able to learn. Therefore, a speculative neural mechanism is presented regarding how “free” neurons could become specified by learning.
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Wickelgren, W.A. Learned specification of concept neurons. Bulletin of Mathematical Biophysics 31, 123–142 (1969). https://doi.org/10.1007/BF02478213
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DOI: https://doi.org/10.1007/BF02478213