The Center for Perceptual Systems (CPS) is an interdisciplinary program at the University of Texas that provides a focal point for research and training in sensory systems. Recent growth in the Neurosciences at UT, as well as in CPS, particularly in the area of vision research, has lead to the development of a distinctive group in the Center that has a broad interdisciplinary research program in vision, representing psychophysical, neurophysiological, imaging, and computational approaches. In concert with our recent growth and increasing visibility, we have developed a new training program in vision science to take advantage of our growing strengths in the investigation of vision in natural environments, and in neural computation. Because of both our broad expertise and our special strengths in these areas we are well positioned to train new scientists who will be at the forefront of vision research in the future. There are three important components to our training focus. First, we take advantage of the highly interdisciplinary and collaborative structure of CPS to provide broad cross-disciplinary training, which we consider essential for students of vision and visual performance. Second, we believe that training in computational methods is an essential component of research in vision and we take advantage of our particular strengths in this area. Third, we take advantage of our strengths in the area of natural systems analysis to provide a unique training opportunity in an area that we see as becoming increasingly important for a broad understanding of vision. These components lie at the core of our program, which includes basic courses, specialized seminars, training in advanced methodologies, attendance at the CPS colloquium series and the CPS symposium on Natural Environments, Tasks, and Intelligence, ethics training, and the development of professional skills.
The goal of this proposal is to train pre- and post-doctoral scholars in vision, visual neuroscience and visually guided behavior. The program emphasizes the study of natural environments, natural tasks, and neural computation, and takes advantage of our special strengths in these areas. We believe that the study of vision in its natural context is highly valuable because it generalizes more readily to clinical issues than restricted laboratory experiments, and provides a body of comparable data in normal populations. Students training in our program will have a suitable background for future work in clinical populations as they will learn a variety of relevant techniques such as eye tracking in unrestricted behavior and use of virtual environments, as well as developing a sound in background computational methods and in the neural basis of visually guided behavior.
|Katz, Leor N; Yates, Jacob L; Pillow, Jonathan W et al. (2016) Dissociated functional significance of decision-related activity in the primate dorsal stream. Nature 535:285-8|
|Burge, Johannes; McCann, Brian C; Geisler, Wilson S (2016) Estimating 3D tilt from local image cues in natural scenes. J Vis 16:2|
|Burge, Johannes; Geisler, Wilson S (2015) Optimal speed estimation in natural image movies predicts human performance. Nat Commun 6:7900|
|Sebastian, Stephen; Burge, Johannes; Geisler, Wilson S (2015) Defocus blur discrimination in natural images with natural optics. J Vis 15:16|
|Matthis, Jonathan Samir; Barton, Sean L; Fajen, Brett R (2015) The biomechanics of walking shape the use of visual information during locomotion over complex terrain. J Vis 15:|
|Bonnen, Kathryn; Burge, Johannes; Yates, Jacob et al. (2015) Continuous psychophysics: Target-tracking to measure visual sensitivity. J Vis 15:|
|Latimer, Kenneth W; Yates, Jacob L; Meister, Miriam L R et al. (2015) NEURONAL MODELING. Single-trial spike trains in parietal cortex reveal discrete steps during decision-making. Science 349:184-7|
|Burge, Johannes; Geisler, Wilson S (2014) Optimal disparity estimation in natural stereo images. J Vis 14:|
|Tan, Andrew Y Y; Chen, Yuzhi; Scholl, Benjamin et al. (2014) Sensory stimulation shifts visual cortex from synchronous to asynchronous states. Nature 509:226-9|
|Scholl, Benjamin; Tan, Andrew Y Y; Corey, Joseph et al. (2013) Emergence of orientation selectivity in the Mammalian visual pathway. J Neurosci 33:10616-24|
Showing the most recent 10 out of 13 publications