Curriculum Vitae |
EDUCATION 2000 Harvard University, Cambridge, MA Ph.D., Physics Advisors: Dr. Laurence Abbott (Brandeis University) Dr.
Charles Marcus 1989
- 1993 Stanford University, Stanford,
CA B.S., Physics,
with honors and distinction. RESEARCH/TEACHING
EXPERIENCE
Fall 2003- Assistant
Professor, Department of Physics and Program in Neuroscience, Wellesley
College 2000-present Postdoctoral Research Fellow, Massachusetts Institute of Technology and Howard Hughes
Medical Institute. Supervisor:
Dr. Sebastian Seung. Research area: Computational neuroscience. Research in collaboration with Dr. David Tank
focuses on understanding the neural mechanisms underlying the integration
of velocity-coded eye movement commands to eye position signals
by the oculomotor neural integrator. 1994
- 2000 Graduate Research and Teaching Fellow, Harvard University and Research focused on the roles of activity-dependent
synaptic and neuronal processes in network computations. 1999 Instructor, Massachusetts Institute of Technology Designed
and taught a course entitled “Computational Neuroscience for Physicists” during
MIT’s January IAP (independent activities period) term. POSITIONS, HONORS, AND AWARDS
w
Board of directors,
Computational Neuroscience Organization, 2003-present. w Certificate
of Distinction in Teaching, w Phi Beta
Kappa, w David S. Levine Award, Stanford University,
1992 Prize given after junior year to outstanding
student in physics. PUBLICATIONSFull-length
Publications:
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M.S. Goldman, S.B. Nelson, L.F. Abbott, Decorrelation of spike trains by synaptic depression, Neurocomputing 26-27:147-153 (1999).
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M.S. Goldman, J. Golowasch, E. Marder, L.F. Abbott,
Dependence of firing pattern on intrinsic ionic conductances:
sensitive and insensitive combinations, Neurocomputing 32-33:141-146
(2000).
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M.S. Goldman, Computational implications of activity-dependent
neuronal processes, Harvard Univ. Ph.D. thesis (2000).
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M.S. Goldman, J. Golowasch,
E. Marder, L.F. Abbott, Global structure, robustness, and modulation of neuronal
models, J. Neurosci. 21:5229-5238
(2001).
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M.S. Goldman, P. Maldonado, L.F. Abbott, Redundancy
reduction and sustained firing with stochastic depressing synapses, J. Neurosci. 22:584-591 (2002).
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J. Golowasch, M.S. Goldman,
L.F. Abbott, E. Marder, Failure of averaging in the construction of a conductance‑based
neuron model, J. Neurophys. 87:1129-1131 (2002).
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M.S. Goldman, C.R.S. Kaneko, G. Major, E. Aksay, D.W. Tank, H.S. Seung, Linear
regression of eye velocity on eye position and head velocity suggests a common oculomotor neural
integrator, J. Neurophys. 88:659-665 (2002).
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E. Aksay, G. Major, M.S.
Goldman, R. Baker, H.S. Seung, D.W. Tank,
History dependence of rate covariation between
neurons during persistent activity in an oculomotor integrator, Cereb. Cortex. 13:1173-1184
(2003).
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M.S. Goldman, J.H. Levine, G. Major, D.W. Tank, H.S. Seung,
Robust persistent neural activity in a model integrator with multiple
hysteretic dendrites per neuron, Cereb. Cortex. 13:1185-1195 (2003).
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M.S. Goldman, Enhancement of information transmission
efficiency with unreliable synapses, Neural Comput. 16:1137-1162
(2004). Abstracts:
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M.S. Goldman, K. Sugino, S.B. Nelson, L.F. Abbott, Decorrelation of
spike trains by synaptic depression, Soc. Neurosci. Abs. 24:2095
(1998).
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M.S. Goldman, L.F. Abbott, Synapses
as stochastic filters, Bull. Am.
Phys. Soc. 44:1493 (1999).
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M.S. Goldman, J. Golowasch, L.F.
Abbott, E. Marder, Sensitivity of intrinsic firing on conductance
densities, Soc. Neurosci. Abs. 25:1645 (1999).
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M.S. Goldman, J. Golowasch, E. Marder, L.F. Abbott,
Inadequacy of averaged or uncorrelated measurements in the construction
of conductance-based neuronal models, Soc. Neurosci. Abs. 26:1999
(2000).
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M.S.
Goldman, C.R.S. Kaneko, D.W. Tank, G. Major, R.G. Baker, H.S. Seung, Do the VOR and saccades share a common neural integrator?, Soc. Neurosci. Abs. 27: 405.16 (2001).
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M.S. Goldman, J.H. Levine, G. Major, E. Aksay,
D.W. Tank, H.S. Seung, Dendritic bistability increases
the robustness of persistent neural activity in a model oculomotor neural
integrator, Soc. Neurosci. Abs. 28:266.14
(2002).
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M.S. Goldman, D.A. Butts, The best encoded stimuli in a sensory
neuron’s tuning curve are determined by
the amount of neuronal variability, Soc. Neurosci. Abs. 29:485.22
(2003). |
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