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Deep neural networks uncover what the brain likes to see — ScienceDaily

Researchers built deep artificial neural networks that can accurately predict the neural responses produced by a biological brain to arbitrary visual stimuli. These networks can be thought of as a 'virtual avatar' of a population of biological neurons, which can be used to dissect the neural mechanisms of sensation. — Read on http://www.sciencedaily.com/releases/2019/11/191104155706.htm

Penn Researchers Calculate How Much The Eye Tells The Brain — ScienceDaily

Researchers at the University of Pennsylvania School of Medicine estimate that the human retina can transmit visual input at roughly 10 million bits per second, similar to an Ethernet connection. This line of scientific questioning points to ways in which neural systems compare to artificial ones, and can ultimately inform the design of artificial visual … Continue reading Penn Researchers Calculate How Much The Eye Tells The Brain — ScienceDaily

Whatever next? Predictive brains, situated agents, and the future of cognitive science | Behavioral and Brain Sciences | Cambridge Core

Whatever next? Predictive brains, situated agents, and the future of cognitive science - Volume 36 Issue 3 — Read on http://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/whatever-next-predictive-brains-situated-agents-and-the-future-of-cognitive-science/33542C736E17E3D1D44E8D03BE5F4CD9

Quadrascopic Cameras: The Failed Third Wave of Photography | Urth Magazine

THIS IS AN ARTICLE OF REFERENCE FOR MY NEW RESEARCH PROJECT ON THE HISTORY OF HATING 3D Across the myriad of toy cameras and varied forgotten photographic castoffs, there's always been an array of weird and wonderful cameras that never quite took off. One of the more strange and fleeting trends has to be quadrascopic … Continue reading Quadrascopic Cameras: The Failed Third Wave of Photography | Urth Magazine