<電子ブック>
Computational modelling in behavioural neuroscience : closing the gap between neurophysiology and behaviour

責任表示
著者
本文言語
出版者
出版年
出版地
関連情報
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
アクセス注記 Taylor & Francis eBooks DRM Free Collection トライアル中(2023/3/31まで利用可能) 【Trial】This title is available until March 31, 2023.
本文を見る Taylor & Francis eBooks DRM Free Collection: 2009

詳細

レコードID
刊行頻度
データベース タイトル
主題
管理番号
eISBN
XISBN
登録日 2023.01.20
更新日 2023.01.20