Titlebook: Computational Models for Neuroscience; Human Cortical Infor Robert Hecht-Nielsen,Thomas McKenna Book 2003 Springer-Verlag London 2003 artif

記憶法

The Development of Cortical Models to Enable Neural-based Cognitive Architectures,y to the constraint of predicting experimental observations in the neurobiological domain. A few of these models have some computational capability in the general domains of pattern recognition or control (Ambros-Ingerson et al., 1990; Carpenter and Grossberg, 1991; McKenna, 1994; Zornetzer et al., 1995).

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Towards Global Principles of Brain Processing, in posterior and anterior sites respectively. In particular a specific neural model, the CODAM model, is developed to explain consciousness. Experimental evidence for the principles and their neural adumbrations are briefly surveyed.

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https://doi.org/10.1007/978-3-031-63937-1 of information propagation from one population to another. This novel framework for population codes opens up new avenues for studying a diverse set of problems, including cue combination, decision-making, and visual attention.

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Sammy Tin,Mark Hardy,Akane Suzukiy to the constraint of predicting experimental observations in the neurobiological domain. A few of these models have some computational capability in the general domains of pattern recognition or control (Ambros-Ingerson et al., 1990; Carpenter and Grossberg, 1991; McKenna, 1994; Zornetzer et al., 1995).

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