Assistant Professor of NeurobiologyWe 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
- Office Location: Bryan Research Building, 311 Research Drive Room 301H, Durham, NC 27710
- Office Phone: (919) 684-4742
- Email Address: email@example.com
- Ph.D. Northwestern University, 2003
Jeffrey Beck studies 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.
- NEUROBIO 720D: Circuits and Computation
- NEUROSCI 755: Interdisciplinary Program in Cognitive Neuroscience (IPCN) Independent Research Rotation
- STA 993: Independent Study
- 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 (2016), 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].
- Jiang, J; Beck, J; Heller, K; Egner, T, An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands., Nature Communications, vol 6 (2015) [10.1038/ncomms9165] [abs].
- Dowd, EW; Kiyonaga, A; Beck, JM; Egner, T, Quality and accessibility of visual working memory during cognitive control of attentional guidance: A Bayesian model comparison approach, Visual Cognition, vol 23 no. 3 (2015), pp. 337-356 [10.1080/13506285.2014.1003631] [abs].
- Fan, K; Wang, Z; Beck, J; Kwok, JT; Heller, K, Fast second-order stochastic backpropagation for variational inference, Advances in Neural Information Processing Systems, vol 2015-January (2015), pp. 1387-1395 [abs].