We are a computational and theoretical neuroscience research group at the University of Maryland College Park studying visual and auditory system function through collaborations with a diverse range of experimentalists.
OPPORTUNITIES FOR UNDERGRADUATE INVOLVEMENT. There are several opportunities for undergradates to be involved in research projects in the lab. However, please note that this is a computational lab, and research involves computer programming and applications of mathematics coursework up through linear algebra. Please contact Dan Butts if you are interested.
- [3.01.17] Lab paper: Revealing unobserved factors underlying cortical activity using a rectified latent variable model applied to neural population recordings published in Journal of Neurophysiology.
- [2.23.17] Two lab presentations at the Computational and Systems Neuroscience (Cosyne) conference. [Links to posters coming soon.]
- [11.15.16] Matt Whiteway presented his new latent variable model at SFN. [Preprint]
- [11.14.16] Lab paper: Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells with Jonathan Demb's lab (Yale) published in eLife.
- [09.16.16] Lab paper with Alex Casti (Fairleigh Dickinson) published in Journal of Neurophysiology: Nonlinear computation shaping temporal processing of pre-cortical vision.
- [08.30.16] Preprint available for lab paper: Revealing unobserved factors underlying cortical activity using a rectified latent variable model applied to neural population recordings. [Now in press at Journal of Neurophysiology.]
- [07.24.16] We are inviting applications for a postdoctoral position in the lab. See above, and feel free to contact Dan Butts for more information.
- [07.19.16] Preprint available for lab paper: Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells.
- [06.08.2016] Lab paper published in Journal of Neuroscience: Variability and correlations in primary visual cortical neurons driven by fixational eye movements, with Bruce Cumming's lab (NIH).
- [04.06.2016] Lab paper published in Journal of Neuroscience: Inferring cortical variability from local field potentials, with Chris Pack's lab (McGill University).
- [10.17.2015] Lab presentation at Society for Neuroscience conference in Chicago.
- [09.15.2015] Lab paper published in Nature Communications: Saccadic modulation of stimulus processing in primary visual cortex, with Bruce Cumming's lab (NIH).
- [05.22.2015] Congratulations to Dr. Yuwei Cui, the first Ph.D. from the lab!
- [03.06.2015] Two lab presentations at Computational and Systems Neuroscience (Cosyne) conference.
- [12.15.2014] James McFarland featured in Maryland Diamondback article about UMD research rankings.
- [11.23.2014] Congratulations to Fang Cao who has been named a Rhodes Scholar. [press release]
- [11.15.2014] Lab presentations at Society for Neuroscience Conference 2014 in Washington DC.
- [09.08.2014] Lab paper published in Nature Communications: High-resolution eye tracking using V1 neuron activity with Bruce Cumming's lab (NIH). [Code available]
- [09.01.2014] Congratulations to Dan Butts for receiving an NSF Early Career Award.
- [08.25.2014] Congratulations to Yuwei Cui who was awarded the William Hodos Dissertation Research Assistantship.
- [06.01.2014] Congratulations to Carl Sabottke who was awarded an NSF graduate fellowship (GRFP).
- [03.21.2014] Congratulations to Daniel Farias for receiving Honorable Mention in Goldwater Scholar competition. [press release]
- [01.02.2014] Dataset from Area MT in naturalistic optic flow stimulus (recorded by collaborating lab of Chris Pack, McGill) now available on CRCNS.org
- [12.09.2013] Congratulations to James McFarland who was awarded an NIH postdoctoral fellowship (NRSA)
- [10.16.2013] Lab paper published in Journal of Neuroscience: Diverse Suppressive Influences in Area MT and Selectivity to Complex Motion Features
- [07.13.2013] Lab paper published in PLoS Computational Biology: Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs. [Code available]