http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Computational modelling in behavioural neuroscience
closing the gap between neurophysiology and behaviour
Computational modeling in bahavioral neurscience
xiii, 360 pages : illustrations ; 24 cm.
Dynamical information processing in the CA1 microcircuit of the hippocampus -- Why connectionist models need spikes -- Stochastic neurodynamical computation of brain functions -- Modelling visual search in biologically plausible neural networks : whole-system behaviour, neuropsychological breakdown and BOLD signal activation -- The selective attention for identification model (SAIM) : a framework for closing the gap between behavioural and neurological levels -- Computational models in neuroscience : from membranes to robots -- Some fingerprints of V1 mechanisms in the bottom-up saliency for visual selection -- Decision making and population decoding with strongly inhibitory neural field models -- The importance of neurophysiological constraints for modelling the emergence of modularity -- Selective attention in linked, minimally cognitive agents -- Full solution for the storage of correlated memories in an autoassociative memory -- A unified theory of exogenous and endogenous attentional control -- Free-energy, value and neuronal systems -- Architectural and representational requirements for seeing processes and affordances -- Computational modelling in behavioural neuroscience : methodologies and approaches (minutes of discussions at the workshop in Birmingham, UK, in May 2007)
edited by Dietmar Heinke and Eirini Mavritsaki.
Includes bibliographical references and indexes.