The goal of this training program is to provide postdoctoral fellows with interdisciplinary training in visual neuroscience. The Salk Institute has for many years been home to a visual neuroscience community that has been highly productive and progressive in its approach, with an unusual degree of collaboration on topics of shared interest. This community now comprises the Center for the Neurobiology of Vision (CNV), which includes research programs that employ a variety of experimental approaches - molecular, genetic, cellular, systems, and computational - and address the neural structures and events that underlie visual sensation, perception, cognition, visually-guided behavior, visual plasticity, learning, memory and development. The twelve training faculty of the CNV collectively boast a lengthy, diverse and highly successful record of visual neuroscience training of both pre- and postdoctoral students. The proposed training program will place emphasis on research projects that are interdisciplinary, explore visual system organization and function across levels ranging from molecules to behavior, address multiple stages in the processing hierarchy and enable understanding of pathologies of visual function. The administrative structure of the proposed program comprises an Executive Committee with director T. Albright and committee members (E. Callaway, R. Krauzlis, D. O'Leary, and T. Sejnowski) representative of our research strengths: neural correlates of perception, neuronal circuits and mechanisms, development and plasticity, and disorders of visual function. Training will be provided in a range of modern techniques including electrophysiology, neuroanatomy, fMRI, psychophysics, molecular genetics, and theory/computational modeling. In view of the high quality of postdoctoral applicants to our program, the consistent successes of current and past trainees, and diminishing private funds for training in visual neuroscience, we are requesting support for four postdoctoral trainees, which will ensure the maintenance of this training and leverage the productivity of our fifteen NEI-supported research programs.
The Salk Institute is home to an extremely active community of scientists investigating the organization, function and development of the visual system. The proposed training of exceptionally qualified postdoctoral fellows in the concepts and techniques of modern visual neuroscience will ensure further advances in understanding of normal visual function and the development of effective treatments for pathologies of vision.
Lainscsek, Claudia; Muller, Lyle E; Sampson, Aaron L et al. (2017) Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data. Neural Comput 29:2004-2020 |
Rowekamp, Ryan J; Sharpee, Tatyana O (2017) Cross-orientation suppression in visual area V2. Nat Commun 8:15739 |
Nandy, Anirvan S; Nassi, Jonathan J; Reynolds, John H (2017) Laminar Organization of Attentional Modulation in Macaque Visual Area V4. Neuron 93:235-246 |
Atencio, Craig A; Sharpee, Tatyana O (2017) Multidimensional receptive field processing by cat primary auditory cortical neurons. Neuroscience 359:130-141 |
Nandy, Anirvan S; Mitchell, Jude F; Jadi, Monika P et al. (2016) Neurons in Macaque Area V4 Are Tuned for Complex Spatio-Temporal Patterns. Neuron 91:920-930 |
Kuczala, Alexander; Sharpee, Tatyana O (2016) Eigenvalue spectra of large correlated random matrices. Phys Rev E 94:050101 |
Le Van Quyen, Michel; Muller 2nd, Lyle E; Telenczuk, Bartosz et al. (2016) High-frequency oscillations in human and monkey neocortex during the wake-sleep cycle. Proc Natl Acad Sci U S A 113:9363-8 |
Zhang, Yilun; Sharpee, Tatyana O (2016) A Robust Feedforward Model of the Olfactory System. PLoS Comput Biol 12:e1004850 |
Muller, Lyle; Piantoni, Giovanni; Koller, Dominik et al. (2016) Rotating waves during human sleep spindles organize global patterns of activity that repeat precisely through the night. Elife 5: |
Jadi, Monika P; Sejnowski, Terrence J (2014) Regulating Cortical Oscillations in an Inhibition-Stabilized Network. Proc IEEE Inst Electr Electron Eng 102: |
Showing the most recent 10 out of 11 publications