A postdoctoral position is available. Individuals with experience in multi-electrode neural recordings and/or fMRI in behaving animals are particularly encouraged to apply.
We are looking for graduate students with previous STEM training. Interested students can apply through the following programs:
Additional competitive training and funding opportunities exist through:
- LUCID (learning, understanding, cognition, intelligence, data science)
- Vision Research Training Program
A technical position is available for a programmer interested in developing systems for real-time dynamic (closed-loop) control of neuroscience experiments involving 3D visualizations. Demonstrated previous experience with OpenGL and the software/hardware requirements of real-time control with millisecond precision is highly desired.
Congratulations Zikang on receiving the Best Poster Award in Systems Neuroscience at the Annual Symposium of the Neuroscience Training Program!
Congratulations Lowell on receiving the Jerzy Rose Award for most original and significant contribution to the field of neuroscience by a graduate student!
Congratulations to Ray Doudlah who today masterfully defended his Ph.D. from the Physiology Graduate Training Program!
“Neuronal representations supporting three-dimensional vision in nonhuman primates” is out today in the Annual Review of Vision Science. Congrats Lowell, Ray, & Ting-Yu!
Congratulations Ray on being an inaugural recipient of the McPherson Eye Research Institute’s “Distinguished Paper Award”!
“Behavioral signatures of Y-like neuronal responses in human vision” is out today at Scientific Reports. Congrats Ana et al.!
- Older News
How do we perceive the three-dimensional (3D) structure of the world when our eyes only sense 2D projections like a movie on a screen?
Our visual system first encodes the environment in egocentric coordinates defined by our eyes. Such representations are inherently unstable in that they shift and rotate as we move our eyes or head. How then do we perceive the world as stable?
Neuro-computational underpinnings of autism
Autism spectrum disorder (ASD) manifests heterogeneously across individuals. We study the neural basis of this heterogeneity using multifaceted approaches including learning studies with adolescents, neural imaging, and computational modeling.
Real-time Experimental Control with Graphical User Interface
The Real-Time Experimental Control with Graphical User Interface (REC-GUI) framework is an open-source network-based parallel processing solution for performing behavioral control, high precision stimulus presentation, and high-density neurophysiological measurements.