[Comp-neuro] Postdoctoral position in computational neuroscience
msgoldman at ucdavis.edu
Thu Feb 19 01:49:00 CET 2009
A postdoctoral position is available in the laboratory of Dr. Mark
Goldman at the University of California at Davis. The lab works on a
broad range of problems in computational neuroscience ranging from
neural coding to dynamics and plasticity of single neurons and networks.
The postdoctoral candidate would have flexibility to work on a range of
issues of his or her choosing (including other than those listed below).
Work on all projects will involve a mixture of analytical and
computational work, and any candidate is expected to have strong
training in an analytically rigorous discipline such as theoretical
neuroscience, physics, mathematics, computer science, or engineering.
The postdoctoral candidate will have ample opportunity to interact
within the vibrant computational and systems neuroscience communities at
UC Davis and in the greater San Francisco Bay Area.
Two recent topics of particular interest to the laboratory are:
1) *Dynamics of memory-related neural activity*: This work spans both
theoretical and applied modeling, as follows:
/Theoretical projects/: Our recent work has been comparing attractor
models to those with a higher-dimensional representation to assess the
relative strengths and weaknesses of these two architectures. Questions
to be addressed include: What network architecture is most suitable for
a given computation? How robust is a given architecture and a given
computation to systematic perturbations of parameters and noise? Which
experimental systems utilize each of these architectures and what
benefit does this convey?
/Modeling experimentally recorded neural activity/: The laboratory has
been working in collaboration with the laboratories of David Tank at
Princeton University and Emre Aksay at Weill Medical College of Cornell
University to determine how an experimentally measurable memory trace
located in the eye movement system is maintained in an awake behaving
animal, and how plasticity mechanisms can tune this system to adapt to
2) *Motor learning in the cerebellum*: The eye movement system provides
a highly tractable system for studying motor learning because it is
well-characterized experimentally and has fewer degrees of freedom than
more complicated movement systems. Current projects include:
A) Building models to characterize the coding of inputs within the
cerebellum, and connecting these to experimental data being obtained in
the laboratory of our collaborator Dr. Jennifer Raymond at Stanford
B) Building testable models of the cerebellar and non-cerebellar
mechanisms of motor learning in the vestibuloocular reflex. Theoretical
work will be constrained by and form predictions for experiments ranging
from behavior in normal and mutant animals to single-cell recording and
Ca++ imaging performed in our experimental collaborators’ laboratories.
Candidates should send a CV, brief statement of previous research and
future research interests, and email addresses and phone numbers of
three references to: Mark Goldman, msgoldman at ucdavis.edu. I will also be
at the upcoming CoSyNe meeting and would be happy to meet with
candidates in person there.
More information about the Comp-neuro