Mark S. Goldman, Ph.D.
Clinical/Research Interests
Dr. Goldman’s work involves building mathematical and
computer models of a variety of brain functions. Much of this
work focuses on understanding how neurons can stably maintain
activity that reflects a preceding stimulus, even after this stimulus
is no longer present. Such activity is observed in a wide range of
brain regions and its functional roles range from maintaining a
short-term memory of a preceding stimulus (as seen in cortical
neurons) to keeping the eyes stable in their orbits so that a nonblurry view of the world can be gathered by the visual system (as performed by the
oculomotor neural integrator). His models seek to dissect the roles of intrinsic and
synaptic mechanisms in generating such activity, and to understand the plasticity
mechanisms that tune the relevant neuronal circuits. In separate research, Dr. Goldman
has been working to understand how neurons in the early visual system represent and
encode information about objects in the external world.
Title:
Associate Professor
Specialty:
Neurobiology
Center/Program Affiliation:
Center for Neuroscience
Address:
Neurosciences Building
1515 Newton Ct.
Davis, CA 95616
Phone:
(530) 757-8749
Education:
Professional Memberships:
American Physical Society
Faculty for Undergraduate Neuroscience
Society for Neuroscience
Select Recent Publications:
Sanders H, Berends M, Major G, Goldman MS [co-corresponding author], Lisman JE
(2013) NMDA and GABAB (Kir) conductances: the “perfect couple” for bistability,
Journal of Neuroscience 33:424-429.
Lim S, Goldman MS: Noise Tolerance of attractor and fed forward memory models,
Neural Compulation, 24:332-390, 2012
Goldman MS, Compte A, Wang X-J: Neural integrator models. In: Squire LR (ed.)
Encyclopedia of Neuroscience (Oxford: Academic Press), volume 6, pp. 165-178, 2009.
Goldman MS: Memory without feedback in a neural network, Neuron 61:621-634, 2009.
Aksay E, Olasagasti I, Mensh BD, Baker R, Goldman MS [co-corresponding author],
Tank DW: Functional dissection of circuitry in a neural integrator, Nature Neuroscience
10:494-504, 2007.
Butts DA, Goldman MS: Tuning curves, neuronal variability, and sensory coding, PLoS
Biology 4:e92, 2006.
Goldman MS: Enhancement of information transmission efficiency by synaptic failures,
Neural Computation 16:1137-1162, 2004.
Goldman MS, Levine JH*, Major G, Tank DW, Seung HS: Robust persistent neural
activity in a model integrator with multiple hysteretic dendrites per neuron, Cerebral
Cortex 13:1185-1195, 2003.
Goldman MS, Maldonado P, Abbott LF: Redundancy reduction and sustained firing with
stochastic depressing synapses, Journal of Neuroscience 22:584-591, 2002.
Golowasch J, Goldman MS, Abbott LF, Marder E: Failure of averaging in the
construction of a conductance-based neuron model, Journal of Neurophysiology 87:
1129-1131, 2002.
Goldman MS, Golowasch J, Marder E, Abbott LF (2001) Global structure, robustness
and modulation of neuronal models, Journal of Neuroscience 21:5229-5238