This paper explores current developments in evolutionary and bio-inspired approaches to
autonomous robotics, concentrating on research from our group at the University of Sussex …

Many computational models of the basal ganglia (BG) have been proposed over the past
twenty-five years. While computational neuroscience models have focused on closely …

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

To make an optimal decision we need to weigh all the available options, compare them with
the current goal, and choose the most rewarding one. Depending on the situation an optimal …

Parkinson Disease (PD) and Huntington Disease (HD) are degenerative neurological
diseases, which can result in impairments and activity limitations affecting the upper …

Neurorobotics has emerged from the alliance between neuroscience and robotics. It
pursues the investigation of reproducing living organism-like behaviors in robots by means …

There is significant evidence that in addition to reward-punishment based decision making,
the Basal Ganglia (BG) contributes to risk-based decision making (Balasubramani et al.,) …

The balanced state of neurons is characterized by a high value of the total membrane
conductance caused by synaptic inputs. It is the state of cortical neurons in vivo in awake …

A significant feature of Parkinson's disease (PD) is the inability of the thalamus to respond
faithfully to sensorimotor information from the cerebral cortex. This may be the result of …

Computational models play a significant role in exploring novel theories to complement the
findings of physiological experiments. Various computational models have been developed …