Brain processes, theories, and models: an international conference in honor of W.S. McCulloch 25 years after his death
W. S. McCulloch, a professor of psychiatry at Illinois, later a scientist at the Research Laboratory of Electronics at MIT and author of the groundbreaking book, Embodiments of Mind (reissued in paperback in 1988), was one of the founding fathers of "Cybernetics." Along with Norbert Wiener, John von Neumann, and H. von Foerster, he sought to integrate the disciplines of neurophysiology, mathematics, and engineering in a rigorous investigation into what brains do and how they do it. A magnetic personality, McCulloch set thoughts into motion (for instance neural nets as parallel computers) that have sparked research and controversy for decades.These 55 contributions celebrate the lasting impact that McCulloch had on the study of the brain and the formal modeling of human intellience. They cover a number of varied topics in the general area of neural modeling and are divided into five sections: Essays and General Brain Theory, Mathematical Tools and Global Models, Neurons and Neural Nets, Vision, and AI and Engineering related topics. Contributors include H. von Foerster, Michael Arbib, James A. Anderson, Shun-Ichi Amari, Kunihiko Fukushima, Shunsuke Sato, Paul Cull, and Gregory Mulhauser.
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From Kant to McCulloch and Beyond
Variations on Themes
The Embodiments of Mind
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action potential activity algorithm architecture areas artificial neural networks associative memory attractor auditory behavior bifurcation binary biological brain cells cerebral cerebral cortex channel Chinese Room coding cognitive complex components concept connections correlation corresponding cortical defined dendrite distribution driver program dynamic equation equilibrium example external feedback Figure frequency function fuzzy global grid Hebbian Hebbian learning hippocampus input interaction KNGN layer learning rule linear logical mathematical matrix McCulloch mechanism Mira modules motor neural nets neural networks neurophysiology Neurosci node object oscillations output parameters pattern perception perceptron phase physiological Pitts population code potential present probabilistic problem properties qualia Rashevsky receptive field recognition representation represented response retinal robot schema self-organizing sensory sequence signal simulation space spatial stimulus structure subliminal stimulation symbolic level synaptic synchronization target temporal theoretical theory threshold variable vector visual cortex visual field Warren McCulloch