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Computational modelling in behavioural neuroscience : closing the gap between neurophysiology and behaviour
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| 目次 | Dynamical information processing in the CA1 microcircuit of the hippocampus Bruce P. Graham and Vassilis Cutsuridis Why connectionist models need spikes Simon J. Thorpe Stochastic neurodynamical computation of brain functions Gustavo Deco and Edmund T. Rolls Modelling visual search in biologically plausible neural networks : whole-system behaviour, neuropsychological breakdown and BOLD signal activation Glyn W. Humphreys ... [et al.] The selective attention for identification model (SAIM) : a framework for closing the gap between behavioural and neurological levels Dietmar Heinke ... [et al.] Computational models in neuroscience : from membranes to robots Kevin N. Gurney Some fingerprints of V1 mechanisms in the bottom-up saliency for visual selection Li Zhaoping, Keith A. May, and Ansgar Koene Decision making and population decoding with strongly inhibitory neural field models Thomas Trappenberg The importance of neurophysiological constraints for modelling the emergence of modularity John A. Bullinaria Selective attention in linked, minimally cognitive agents Robert Ward and Ronnie Ward Full solution for the storage of correlated memories in an autoassociative memory Emilio Kropff A unified theory of exogenous and endogenous attentional control Michael C. Mozer and Matthew H. Wilder Free-energy, value and neuronal systems Karl J. Friston, Klaas E. Stephan, and Stefan Kiebel Architectural and representational requirements for seeing processes and affordances Aaron Sloman Computational modelling in behavioural neuroscience : methodologies and approaches (minutes of discussions at the workshop in Birmingham, UK, in May 2007) Dietmar Heinke.続きを見る |
| 本文を見る | Taylor & Francis eBooks DRM Free Collection: 2009 |
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| 登録日 | 2023.01.20 |
| 更新日 | 2023.01.20 |