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Updated: Apr 23, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Mechanism, function, and computation in neural systems
Nathan Insel1, Paul W Frankland2
1Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada M1C1A4; Department of Psychology, University of Toronto, Toronto, ON, Canada M5S3GM.
Abstract:
What constitutes a "mechanism" of behavior? In this tribute to Jerry Hogan we examine how questions of behavioral mechanism can be reframed as causes and consequences of neural circuit activity. Drawing from our work on the hippocampus and the medial prefrontal cortex we discuss the inherent difficulties of characterizing the behavioral functions of circuits that are many synapses away from sensory reception and motor/visceral expression. We briefly review the advantages of reframing a region's functions according to its computations, while also distinguishing those computations from the algorithms by which they are achieved. As an example of how these ideas can be applied, we discuss why the hippocampus and medial prefrontal cortex may have overlapping roles in memory expression in spite of being very different circuits. The present analysis draws inspiration from David Marr, whose framework for describing neural systems can be compared with Aristotle's "causes." This article is part of a Special Issue entitled: In Honor of Jerry Hogan.
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