The brain-state-in-a-box neural model is a gradient descent algorithm
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Publication:1072966
DOI10.1016/0022-2496(86)90043-XzbMath0587.92028MaRDI QIDQ1072966
Publication date: 1986
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Lyapunov functionneurophysiologyquadratic cost functionbrain-state-in-a-box (BSB) neural modelconstrained gradient descent algorithmexistence of global energy minimasystem equilibrium points
Nonlinear programming (90C30) Psychophysics and psychophysiology; perception (91E30) Mathematical psychology (91E99) Physiological, cellular and medical topics (92Cxx)
Related Items (7)
SYNCHRONOUS AND ASYNCHRONOUS BRAIN-STATE-IN-A-BOX INFORMATION SYSTEM NEURAL MODELS ⋮ A unified framework for connectionist systems ⋮ Symbolic functions from neural computation ⋮ Adaptive learning of fuzzy BSB and GBSB neural models ⋮ Neural network approach to firm grip in the presence of small slips ⋮ Optimal and robust design of brain-state-in-a-box neural associative memories ⋮ The BSB neural network in the convex body spanned by the prototype patterns for associative memory
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