Abstract
Representations in the central nervous system are population encoded. Understanding the computational processes subserved by pools of cortical and connected subcortical neurons constitutes one of the major challenges facing systems neuroscience. The science of parallel distributed processing (PDP) combines neural plausibility, theoretical coherence, and a demonstrated ability to account for an enormous range of phenomena in normal and damaged human brains.
Highlights
It has been known for some time that representations in the central nervous system (CNS) are population encoded, that is, encoded as patterns of activity involving very large numbers of highly interconnected neurons in one or more neural networks extending over large expanses of the brain [1,2,3,4,5,6,7,8,9,10,11]
parallel distributed processing (PDP) principles have been able to provide a coherent account for impairment in a variety of language functions resulting from stroke or dementia in a large number of languages and the phenomenon of graceful
A jawless fish that departed from the mammalian line 560 million years ago, and pioneering work by Fiore and his colleagues [25], subsuming review of deep homologies between major components of the central complex of the lamprey, Drosophila, and primate brain, provided two fundamental insights: 1) the fundamental computational function of the basal ganglia (BG) is dimensionality reduction; and 2) PDP processes date back at least to arthropods and may constitute the computational principle shared by all creatures with complex nervous systems
Summary
It has been known for some time that representations in the central nervous system (CNS) are population encoded, that is, encoded as patterns of activity involving very large numbers of highly interconnected neurons in one or more neural networks extending over large expanses of the brain [1,2,3,4,5,6,7,8,9,10,11].
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