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| Jeff Wickens Unit |
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Neurobiology Research Unit
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Abstract
The overall aim of this research is to advance understanding of the brain
mechanisms underlying learning and adaptive behaviour. The basal ganglia
are a set of forebrain nuclei thought to play a key role in adaptive behaviour
through the selection of actions, goals and strategies on the basis of
previous reward-related learning. The basal ganglia are also involved in
major neurological and behavioural disorders, such as Parkinsonfs disease
and attention-deficit hyperactivity disorder. Central issues in basal ganglia
research include the manner in which the cortical input to the basal ganglia
is processed and how neuromodulators such as dopamine and adenosine modify
and influence the operations performed on the cortical inputs. The core
strengths of the unit are in cellular electrophysiology and computational
neuroscience, with strong collaborative relationships in behavioural analysis,
neuroanatomy, systems physiology and clinical psychology. The research
has the forward goal of informing the development of better treatments
for the debilitating neurological and behavioural disorders of the basal
ganglia, which are of such importance to both children and adults.
Research Goals
The overall goal is to advance understanding of the brain mechanisms underlying
learning and adaptive behaviour, and major neurological and behavioural
disorders, by determining and dissecting their cellular mechanisms. Experimental
and computational approaches are used. Ongoing research emphasizes: 1)
molecular mechanisms underlying rules for synaptic plasticity in the corticostriatal
pathway 2) synaptic interactions and network dynamics underlying information
processing operations in basal ganglia microcircuitry; 3) behavioural neurobiology
in animal models of neuropsychiatric disorders; and 4) novel treatments
for Parkinsonfs disease and attention-deficit hyperactivity disorder.
Strategies
We use a multidisciplinary approach, with strong collaborative links. Key
techniques are whole-cell recording from single neurons and pairs of neurons;
optical imaging of network dynamics in brain slices and cultured networks;
2-photon imaging of plasticity mechanisms in dendritic spines; in vivo
electrochemistry; and behavioural analysis. We maintain strong collaborative
relationships with leading researchers in behavioural analysis, neuroanatomy,
systems physiology and clinical psychology. Computational neurobiology
is a central tool in all aspects of the experimental research, and conversely,
is informed and improved by experimental data.
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