We propose an undergraduate and graduate (NRSA and non-NRSA) training program in computational neuroscience. Our campus has a rich history and an enonnous breadth of active teaching and research in this area, with faculty mentors distributed through many departments and schools, including Physiology and Biophysics, Biological Structure, Computer Science and Engineering, Applied Math, Biology, Psychology and Bioengineering. Support for undergraduate and graduate education and research will foster the ongoing growth of this area, enhance interaction between theorists and experimentalists, expand and integrate courseworic in quantitative approaches in neuroscience, enhance interactions between undergraduate and graduate students, enhance opportunities for undergraduate research and draw together the community across campus to strengthen our already excellent interdisciplinary exchange and collaboration. Our undergraduate training program will establish a two-year sequence in computational neuroscience, with entry points for up to 12 trainees yearly either from neurobiology or from a computational major (Physics, Computer Science and Engineering, Applied and Computational Mathematics). In fall quarter students attend a series of seminars to introduce them to faculty research. Trainees wiil take a common core cunicuium including both laboratory neurobiology courses and quantitative courses, where the laboratory section is enhanced with a parallel computational course. Choice of additional electives in an individualized curriculum is guided by a mentoring committee. All students will complete at least 1 and preferably 4 quarters of mentored laboratory research. Our graduate training program will support up to 6 students joining either from the Neurobiology &Behavior interdepartmental program or from departmental graduate programs. Students will apply for training grant support at the end of the first year and can7 out a core curriculum consisting of two neurobiology courses and two quantitative courses. Individually tailored curricula including electives selected from offerings in computational neuroscience, mathematics, computer science and physics will be devised in consultation with a mentoring committee. A biweekly joumal club will survey mathematical and systems neuroscience papers and allow student research presentations. Students will have teaching opportunities in new computational courses in the undergraduate Neurobiology program. All trainees will attend a monthly seminar and and present their research at an annual retreat. The program will be directed by Assoc. Prof. Adrienne Falrhall, Physiology and Biophysics, and a leadership team of Prof. Bill Moody, Professor of Biology, Director of the Undergraduate Neurobiology Program;Assoc. Prof. David Peri This training grant aims to train young neuroscientists to use mathematical and computational tools to understand the highly complex, dynamical processing capabilities of the brain and neural circuitry. It will also give students in physics, mathematics and computer science deeper insight into the biology of the brain in order to devise more appropriate theoretical models. Advancing this collaborative approach to neuroscience will help us to intervene in brain pathologies arid ultimately to create assistive technologies that integrate with nervous system function.Public Health Relevance
| Casimo, Kaitlyn; Grassia, Fabio; Poliachik, Sandra L et al. (2018) Preservation of electrophysiological functional connectivity after partial corpus callosotomy: case report. J Neurosurg Pediatr 22:214-219 |
| Oleskiw, Timothy D; Nowack, Amy; Pasupathy, Anitha (2018) Joint coding of shape and blur in area V4. Nat Commun 9:466 |
| Abraham, Antony D; Fontaine, Harrison M; Song, Allisa J et al. (2018) ?-Opioid Receptor Activation in Dopamine Neurons Disrupts Behavioral Inhibition. Neuropsychopharmacology 43:362-372 |
| Grassia, Fabio; Poliakov, Andrew V; Poliachik, Sandra L et al. (2018) Changes in resting-state connectivity in pediatric temporal lobe epilepsy. J Neurosurg Pediatr 22:270-275 |
| Grimes, William N; Songco-Aguas, Adree; Rieke, Fred (2018) Parallel Processing of Rod and Cone Signals: Retinal Function and Human Perception. Annu Rev Vis Sci 4:123-141 |
| Casimo, Kaitlyn; Levinson, Lila H; Zanos, Stavros et al. (2017) An interspecies comparative study of invasive electrophysiological functional connectivity. Brain Behav 7:e00863 |
| Casimo, Kaitlyn; Weaver, Kurt E; Wander, Jeremiah et al. (2017) BCI Use and Its Relation to Adaptation in Cortical Networks. IEEE Trans Neural Syst Rehabil Eng 25:1697-1704 |
| Vincent, Joris; Kale, Alex M; Buck, Steven L (2016) Luminance-dependent long-term chromatic adaptation. J Opt Soc Am A Opt Image Sci Vis 33:A164-9 |
| Schmidt, Brian P; Touch, Phanith; Neitz, Maureen et al. (2016) Circuitry to explain how the relative number of L and M cones shapes color experience. J Vis 16:18 |
| Weaver, Kurt E; Wander, Jeremiah D; Ko, Andrew L et al. (2016) Directional patterns of cross frequency phase and amplitude coupling within the resting state mimic patterns of fMRI functional connectivity. Neuroimage 128:238-251 |
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