Mark Goldman, Ph.D.

Mark Steven Goldman, Ph.D.

Specialties

Neuroscience

Title

  • Professor

Reviews

Neurosciences Building

1515 Newton Ct.
Davis, CA 95616
Driving Directions

Primary Phone:

Additional Phone Numbers

Physician Referrals: 800-4-UCDAVIS (800-482-3284)

Research/Academic Interests

Dr. Goldman's research focuses on building mathematical and computer models of a variety of brain functions. This work includes understanding how neural circuits maintain short-term memories, control eye movements to enable the visual system to receive stable and non-blurry images, and accumulate evidence about the environment to make well-informed decisions.

Division

Ophthalmology

Center/Program Affiliation

Center for Neuroscience

Education

Ph.D., Physics, Harvard University, Cambridge MA 2000

Postdoc., Computational Neuroscience, Massachusetts Institute of Technology, Cambridge MA 2003

B.S., Stanford University, Stanford CA 1993

Professional Memberships

American Physical Society

Faculty for Undergraduate Neuroscience

Society for Neuroscience

Honors and Awards

Joel Keizer Chair in Theoretical and Computational Biology, UC Davis, 2018

Appointed as an HHMI Professor, 2014

Outstanding Graduate Mentor in Neuroscience, UC Davis, 2011

Sloan Foundation Fellowship, Alfred P. Sloan Foundation, 2007

Cottrell College Science Award, Research Corporation, 2005

Certificate of Distinction in Teaching, Harvard University, 1998

Phi Beta Kappa (Junior Year), Stanford University, 1992

David S. Levine Award for Outstanding Student in Physics, Stanford University, 1992

Select Recent Publications

Mackevicius EL, Bahle AH, Williams AH, Gu S, Denisenko NI, Goldman MS, Fee MS. Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience. Elife. 2019 Feb 5;8:e38471. doi:10.7554/eLife.38471. PMID:30719973.

Goldman MS, Fee MS. Computational training for the next generation of neuroscientists. Curr Opin Neurobiol. 2017 Oct;46:25-30. doi:10.1016/j.conb.2017.06.007. Epub 2017 Jul 22. PMID:28738240.

Daie K, Goldman MS, Aksay ER. Spatial patterns of persistent neural activity vary with the behavioral context of short-term memory. Neuron. 2015 Feb 18;85(4):847-60. doi:10.1016/j.neuron.2015.01.006. Epub 2015 Feb 5. PMID:25661184.

Fisher D, Olasagasti I, Tank DW, Aksay ER, Goldman MS. A modeling framework for deriving the structural and functional architecture of a short-term memory microcircuit. Neuron. 2013 Sep 4;79(5):987-1000. doi:10.1016/j.neuron.2013.06.041. PMID:24012010.

Lim S, Goldman MS. Balanced cortical microcircuitry for maintaining information in working memory. Nat Neurosci. 2013 Sep;16(9):1306-14. doi:10.1038/nn.3492. Epub 2013 Aug 18. PMID:23955560.

Lim S, Goldman MS. Noise tolerance of attractor and feedforward memory models. Neural Comput. 2012 Feb;24(2):332-90. doi:10.1162/NECO_a_00234. Epub 2011 Nov 17. PMID:22091664.

Goldman MS. Memory without feedback in a neural network. Neuron. 2009 Feb 26;61(4):621-34. doi:10.1016/j.neuron.2008.12.012. Erratum in: Neuron. 2017 Feb 8;93(3):715. PMID:19249281.

Goldman MS, Compte A, Wang X-J. Neural integrator models. In: Squire LR (ed.) Encyclopedia of Neuroscience (Oxford: Academic Press). 2009;6:165-178.

Aksay E, Olasagasti I, Mensh BD, Baker R, Goldman MS, Tank DW. Functional dissection of circuitry in a neural integrator. Nat Neurosci. 2007 Apr;10(4):494-504. doi:10.1038/nn1877. Epub 2007 Mar 18. Erratum in: Nat Neurosci. 2007 Jun;10(6):798. PMID:17369822.

Butts DA, Goldman MS. Tuning curves, neuronal variability, and sensory coding. PLoS Biol. 2006 Apr;4(4):e92. doi:10.1371/journal.pbio.0040092. Epub 2006 Mar 21. PMID:16529529.