Connectionists: The Atoms of Neural Computation

Gary Marcus gary.marcus at nyu.edu
Sun Nov 2 16:57:23 EST 2014


New piece in Science, reevaluating the “canonical cortical computation” hypothesis: http://www.sciencemag.org/content/346/6209/551.short (First paragraph pasted in below)

And lot of further detail didn’t fit: http://biorxiv.org/content/early/2014/10/31/010983

I love a discussion here on the group,  especially re: the Table of possible computation and their neural realizations, in the Supplement. We plan to crowd-source a more detailed version of that table; please contact me if you are interested in contributing.

Cheers,
Gary

The human cerebral cortex is central to a wide array of cognitive functions, from vision to language, reasoning, decision-making, and motor control. Yet, nearly a century after the neuroanatomical organization of the cortex was first defined, its basic logic remains unknown. One hypothesis is that cortical neurons form a single, massively repeated “canonical” circuit, characterized as a kind of a “nonlinear spatiotemporal filter with adaptive properties” (1). In this classic view, it was “assumed that these…properties are identical for all neocortical areas.” Nearly four decades later, there is still no consensus about whether such a canonical circuit exists, either in terms of its anatomical basis or its function. Likewise, there is little evidence that such uniform architectures can capture the diversity of cortical function in simple mammals, let alone characteristically human processes such as language and abstract thinking (2). Analogous software implementations in artificial intelligence (e.g., deep learning networks) have proven effective in certain pattern classification tasks, such as speech and image recognition, but likewise have made little inroads in areas such as reasoning and natural language understanding. Is the search for a single canonical cortical circuit misguided?


Gary Marcus
Professor of Psychology and Neural Science
New York University
Visiting Cognitive Scientist
Allen Institute for Brain Science
Editor, The Future of the Brain (2014) <http://press.princeton.edu/titles/10306.html>
http://garymarcus.com/ <http://garymarcus.com/>
New Yorker essays <http://www.newyorker.com/contributors/gary-marcus>
New York Times op-eds <http://query.nytimes.com/search/sitesearch/?action=click&contentCollection=Opinion&region=TopBar&WT.nav=searchWidget&module=SearchSubmit&pgtype=article#/%22gary+marcus%22/since1851/articles/1/allauthors/relevance/opinion/>






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