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Titlebook: Neural Information Processing; 14th International C Masumi Ishikawa,Kenji Doya,Takeshi Yamakawa Conference proceedings 2008 Springer-Verlag

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Thouless-Anderson-Palmer Equation for Associative Memory Neural Network Models with Fluctuating Coupethod, which require the energy concept. However for some realizations of synaptic noise, the systems have the effective Hamiltonian and the cavity method becomes applicable to derive the TAP equations.
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A Retinal Circuit Model Accounting for Functions of Amacrine Cells found to begin at retinal stage. In those visual functions, diverse subtypes of amacrine cells are believed to play essential roles by processing the excitatory and inhibitory signals laterally over a wide region on the retina to shape the ganglion cell responses. Previously, a simple "linear-nonli
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Representation of Medial Axis from Synchronous Firing of Border-Ownership Selective Cellsorrectly and quickly, without any effort, the underlying cortical mechanism is largely unknown. Physiological experiment with macaque indicated the possibility that the brain represents a surface with Medial Axis (MA) representation. To examine whether early visual areas could provide basis for MA r
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Neural Mechanism for Extracting Object Features Critical for Visual Categorization Task mechanism of visual categorization. Although experimental evidence is known that prefrontal cortex (PFC) and inferiortemporal (IT) cortex neurons sensitively respond in categorization task, little is known about the functional role of interaction between PFC and IT in categorization task To address
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An Integrated Neuro-mechanical Model of , Forward Locomotionr of models. In this paper we present a first integrated neuro-mechanical model of forward locomotion. We find that a previous neural model is robust to the addition of a body with mechanical properties, and that the integrated model produces oscillations with a more realistic frequency and waveform
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