Jeffrey Beck

Jeffrey Beck

Assistant Professor of Neurobiology

We study neural coding and computation from a theoretical perspective with particular emphasis on probabilistic reasoning and decision making under uncertainty, complex behavioral modeling, computational models of cortical circuits and circuit function, dynamics of spiking neural networks, and statistical analysis of neural and behavioral data.  Previous work has been largely concerned with sensory-motor transformations and neural representations of complex stimuli such as odors.  More recently, we have been focusing on developing non-linear latent state space models of neural networks as standard linear models are incapable of generating even very simple behaviors.  

Appointments and Affiliations

  • Assistant Professor of Neurobiology
  • Assistant Professor of Electrical and Computer Engineering
  • Assistant Professor of Biomedical Engineering
  • Investigator in the Duke Institute for Brain Sciences

Contact Information

  • Office Location: Bryan Research Building, 311 Research Drive Room 301H, Durham, NC 27710
  • Office Phone: (919) 684-4742
  • Email Address: jeff.beck@duke.edu

Education

  • Ph.D. Northwestern University, 2003

Courses Taught

  • NEUROBIO 720D: Circuits and Computation
  • NEUROSCI 755: Interdisciplinary Program in Cognitive Neuroscience (IPCN) Independent Research Rotation
  • STA 993: Independent Study

Representative Publications

  • O'Hare, JK; Li, H; Kim, N; Gaidis, E; Ade, K; Beck, J; Yin, H; Calakos, N, Striatal fast-spiking interneurons selectively modulate circuit output and are required for habitual behavior., eLife, vol 6 (2017) [10.7554/elife.26231] [abs].
  • Oh-Descher, H; Beck, JM; Ferrari, S; Sommer, MA; Egner, T, Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration., NeuroImage, vol 162 (2017), pp. 138-150 [10.1016/j.neuroimage.2017.08.069] [abs].
  • Chen, X; Beck, JM; Pearson, JM, Neuron's eye view: Inferring features of complex stimuli from neural responses., PLoS computational biology, vol 13 no. 8 (2017) [10.1371/journal.pcbi.1005645] [abs].
  • Grabska-Barwińska, A; Barthelmé, S; Beck, J; Mainen, ZF; Pouget, A; Latham, PE, A probabilistic approach to demixing odors., Nature Neuroscience, vol 20 no. 1 (2017), pp. 98-106 [10.1038/nn.4444] [abs].
  • Oh, H; Beck, JM; Zhu, P; Sommer, MA; Ferrari, S; Egner, T, Satisficing in split-second decision making is characterized by strategic cue discounting., Journal of Experimental Psychology: Learning, Memory, and Cognition, vol 42 no. 12 (2016), pp. 1937-1956 [10.1037/xlm0000284] [abs].