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Titlebook: Visual Structures and Integrated Functions; Michael A. Arbib,Jörg-Peter Ewert Book 1991 Springer-Verlag Berlin Heidelberg 1991 Brain model

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A Prospectus for the Fruitful Interaction Between Neuroethology and Neural Engineeringneuroethology; the other, based on results of the former, seeks to develop strategies for the construction of so-called intelligent machines — the research field of neural engineering. The idea to date is not to build human’s cognition or toad’s pattern recognition into a technical device, rather to
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A computer model to visualize change sensitive responses in the salamander retinathrough simulation of a computational model. The model is constructed from neurophysiological data suggesting that a four neuron circuit is involved in the detection of change and the feedforward of change sensitive inhibition to ganglion cells. Two versions of the model are implemented: one using a
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Optic Chiasm Hemisection and the Parsing of Visual Information in Frogsof the optic chiasm, animals responded to visually presented prey in the entire ground level visual field. However, most animals were unresponsive to visually presented threat stimuli anywhere in the visual field. Animals with complete transection of the optic chiasm were unresponsive to both prey a
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Directed Movement in the Frog: A Closer Look at a Central Representation of Spatial Location in a form which is both experimentally distinguishable from spatial representations closer to the sensory and motor sides of the nervous system, and distinctive in its organization. Three dimensional location is represented in a distributed fashion, in terms of independent orthogonal components Eac
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Prey-catching and predator avoidance 1: Maps and Schemasre is no need for a unique schema to win the competition (although that might well be the result) since two or more schemas may simultaneously be active and cooperate to yield a more complicated motor pattern. Based on lesion data, our model is structured on the principles of segregation of coordina
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A Neural Network Model for Response to Looming Objects by Frog and Toad between the optic tectum and pretectum. The retinal signal is first received and processed by tectal neurons and their outputs then converge onto pretectal neurons. Based on these converging inputs, neurons in thalamic pretectum are able to analyze the stimulus situation and determine an appropriat
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