March 8, 2025
9am – 5pm
Biology Physics Building (BPB) 131
The first “Math in the (Neuro)Sciences Workshop” at UConn is a joint event organized by Dr. Scott Rich of the Department of Physiology and Neurobiology and the Mathematical Sciences Research Collaboratory (MSRC). The mission of the workshop is twofold: first, to introduce UConn students to the opportunities presented by applying mathematical principles to the life sciences, particularly neuroscience; second, to highlight the immense depth and breadth of research broadly falling under the discipline of “computational/mathematical neuroscience” already ongoing in Storrs. The event will include keynotes from three international leaders in mathematical neuroscience, invited talks from UConn faculty, and “flash talks” from UConn graduate students. Students from across any of the interdisciplinary fields that contribute to computational/mathematical neuroscience—including mathematics, statistics, computer science, physics, engineering, biology, and psychology, amongst many others—are encouraged to attend!
Keynote Speakers:
Victoria Booth: Professor, Department of Mathematics, University of Michigan
Jérémie Lefebvre: Associate Professor, Department of Biology, University of Ottawa
Sarah Muldoon: Associate Professor, Department of Mathematics, University at Buffalo
Also including talks from computational neuroscientists (Faculty and Graduate Students) at UConn.
Math in the (Neuro)Sciences Workshop RSVP
Please RSVP here if you will attend the workshop.
- 09:00— Welcome, Dr. Scott Rich
- 09:10— An introduction to mathematical concepts in computational neuroscience, Dr. Scott Rich
- 09:30— Graduate Student Talks: Jenna Blain
-
Predicting auditory midbrain responses to natural sounds with interpretable Gabor integrate and fire receptive field models
-
- 09:50— Graduate Student Talks: Tylor Harlow
- Comparing signal processing approaches for the analysis of simulated alpha and auditory-evoked brain signals
- 10:10— Graduate Student Talks: Fatemeh Delavari
- Graph Analysis of Scalp EEG-Based Brain Connectivity Networks for Seizure Forecasting in Epilepsy
- 10:30— Coffee Break
- 11:00— Keynote: Victoria Booth
-
Modeling sleep-wake regulation: a lesson in simplicity
-
- 12:00— Lunch Break
- 01:30— Keynote: Jérémie Lefebvre
- 02:30— Faculty Talks: Bin Feng
- Computational Modeling in Pain Research: Identifying Novel Targets for Chronic Pain
- 02:55— Faculty Talks: Ian Stevenston
- Tracking synaptic plasticity from neural spiking data
- 03:20— Tea Break
- 03:35— Faculty Talks: Heather Read
- 04:00— Keynote: Dr. Sarah Muldoon
- 05:00— Concluding remarks, Dr. Scott Rich