Many modern neural simulators focus on the simulation of networks of spiking neurons on
parallel hardware. Another important framework in computational neuroscience, rate-coded …

Licence This is an open access article distributed under the terms of the Creative Commons
Attribution License, which permits unrestricted use, distribution, reproduction and adaptation …

We present a dynamic model of attention based on the Continuum Neural Field Theory that
explains attention as being an emergent property of a neural population. This model is …

Cortico-basalganglio-thalamic loops are involved in both cognitive processes and motor
control. We present a biologically meaningful computational model of how these loops …

Convolutional neural networks (CNNs) learn to extract representations of complex features,
such as object shapes and textures to solve image recognition tasks. Recent work indicates …

In Parkinson's disease, a loss of dopamine neurons causes severe motor impairments. These
motor impairments have long been thought to result exclusively from immediate effects of …

Motor learning involves a widespread brain network including the basal ganglia, cerebellum,
motor cortex, and brainstem. Despite its importance, little is known about how this network …

Although biomimetic autonomous robotics relies on the massively parallel architecture of the
brain, the key issue is to temporally organize behaviour. The distributed representation of …

Devaluation protocols reveal that Tourette patients show an increased propensity to
habitual behaviors as they continue to respond to devalued outcomes in a cognitive stimulus-…

Although dopamine is one of the most studied neurotransmitter in the brain, its exact function
is still unclear. This short review focuses on its role in different levels of cognitive vision: …