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Introduction and Overview
Contemporary View of Brain Function
Neural Network Models
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adaptation step algorithm assigned auditory cortex biological brain Chapter chosen configuration connections convergence coordinates correct corresponding cortical cylinder denotes density determined dimensional distribution elements end effector end effector positions equation example excitation Figure fluctuations fovea frequency gradient descent gripper hand surface Hence image plane initial values input pattern input signals input stimuli Jacobian matrices joint angles Kohonen's model lattice points layer learning algorithm learning steps linear mathematical matrix minimization motor movements neighborhood neighbors neural network neural units neurons obtain one-dimensional orientation output values parameters perceptron plane of camera positioning error principal curve problem pseudoinverse random receptive fields region retina robot arm saccades self-organizing maps sensory simulation ſº solution space spatial stimulus subnets synaptic strengths target task three-dimensional tion touch receptors training pairs traveling salesman problem two-dimensional vectors wr visual