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Updated: Jul 9, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Tal Golan1, JohnMark Taylor2, Heiko Schütt2,3
1Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel golan.neuro@bgu.ac.ilbrainsandmachines.org.
None:
An ideal vision model accounts for behavior and neurophysiology in both naturalistic conditions and designed lab experiments. Unlike psychological theories, artificial neural networks (ANNs) actually perform visual tasks and generate testable predictions for arbitrary inputs. These advantages enable ANNs to engage the entire spectrum of the evidence. Failures of particular models drive progress in a vibrant ANN research program of human vision.
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