A selection problem arises whenever two or more competing systems seek simultaneous
access to a restricted resource. Consideration of several selection architectures suggests …

Dynamical modeling of neural systems and brain functions has a history of success over the
last half century. This includes, for example, the explanation and prediction of some features …

Abstract Models of neural networks are developed from a biological point of view. Small
networks are analysed using techniques from dynamical systems. The behaviour of spatially …

The projection from the thalamic centre médian–parafascicular (CM-Pf) complex to the
caudate nucleus and putamen forms a massive striatal input system in primates. We …

Modeling of the basal ganglia has played a major role in our understanding of this elusive
group of nuclei. Models of the basal ganglia have undergone evolutionary and revolutionary …

This review describes and motivates six principles for computational cognitive neuroscience
models: biological realism, distributed representations, inhibitory competition, bidirectional …

Ascribing computational principles to neural feedback circuits is an important problem in
theoretical neuroscience. We study symmet (cid: 173) ric threshold-linear networks and …

The authors propose a goal-based model of product evaluation and choice. The model is
intended to account for the role of momentary goal activations in relatively straightforward …

Theories about basal ganglia function have always been driven by our knowledge about the
spiny projection neurons of the striatum. At the core of these theories lies the question of …

Beiser, David G. and James C. Houk. Model of cortical-basal ganglionic processing:
encoding the serial order of sensory events. J. Neurophysiol. 79: 3168–3188, 1998. Several …