Connectionists: PhD studentships: Computation in Brain and Mind at Brown University

[Michael J Frank]

The Brown University initiative for Computation in Brain and Mind
<http://compneuro.clps.brown.edu/> (CiBaM) within the Brown Institute for
Brain Science <http://www.brown.edu/academics/brain-science/> invites PhD
applicants to apply directly to any of the affiliated departments,
including Neuroscience, Cognitive, Linguistic and Psychological Sciences,
Applied Mathematics, Computer Science, Engineering, and others. Among other
events, the initiative includes a seminar series focused on computation
with distinguished lecturers, technical workshops and symposia,  and neural
decoding competitions. The initiative also has close links to parallel
initiatives at Brown in Human-Robot Interaction, Digital Society (big
data), and access to a high performance compute cluster with dedicated
cycles for Brain Science.

Brown has particular expertise in computational approaches to higher order
brain function, from perception to cognition, spanning departments of
Neuroscience, Cognitive, Linguistic & Psychological Sciences, Applied
Mathematics, Computer Science, Neurosurgery, Biostatistics, and
Engineering. Most of these faculties cross theory and experiment, but
primary foci are listed here:

* Computational perception: Theories about how the brain integrates sensory
information to give rise to percepts, constrained by biophysics and
computational objectives.

* Control over action: reinforcement learning, motor control, decision
making, and cognitive control; application to mental illnesses.

* Fundamental questions in neural computation: synaptic plasticity,
circuits, networks.

* Neurotechnology: brain-machine interface, advanced neural data analysis.

* Automated collection of neuroscience data, e.g., via computer vision and
annotation.

These core areas are supported by boundary-pushing development of technical
and analytic methods in Computer Science and Applied Mathematics, including
computational probability and statistics and machine learning.

Applicants should apply directly to a PhD program in any of the affiliated
departments listed above, and simply note an interest in the CiBaM
initiative in their statements of interest.

--

Michael J Frank, PhD, Associate Professor
Laboratory for Neural Computation and Cognition
Brown University
http://ski.clps.brown.edu
(401)-863-6872
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