February 20 (virtual) - Eric Shea-Brown (Washington)
Title: When do high dimensional networks learn to produce low dimensional dynamics?
March 21 *IN PERSON* E5-2004 - Maurizio de Pitta (Krembil/UofT)*
Title: Neuron-glial switches
April 25 14:30 *In Person*
Speaker: Jeff Orchard (CS, Waterloo)
Title: Cognition using Spiking-Phasor Neurons
The purpose of the meeting is to share with all the CTN faculty what we are each up to and interested in and to hear from some of the graduate students in each lab.
Join us on October 17th, 2023
4:30 pm until 7:00 pm
QNC building, room 0101.
Faculty talks: 4:30 pm until 5:30 pm
Coffee break: 5:30 pm until 6:00 pm
Grad/Postdoc talks: 6:00 pm until 7:00 pm
Milad Lankarany, Krembil Research Institute
Title: Using Computational Neuroscience and Neuromodulation Techniques to Uncover Mechanisms of Neural Systems
Prof. Eva Dyer (home page) will present on her work on Thursday, March 6, 3:30 p.m. in E5 2004.
Scaling Up Neural Data Pretraining to Uncover Shared Structure in Brain Function
The brain is incredibly complex, with diverse functions that emerge from the coordinated activity of billions of neurons. These functions vary across brain regions and adapt dynamically as we engage in different tasks, process sensory information, or generate behavior. Yet, each neural recording captures only a small glimpse of this immense complexity, offering a limited view of the broader system. This motivates the need for an algorithmic approach to stitch together diverse datasets, integrating neural activity across brain regions, cell types, and individuals. In this talk, I will present our work on building scalable models pretrained on a broad corpus of neural recordings. Our findings demonstrate positive transfer across tasks, cell types, and individuals, effectively bridging gaps between isolated studies. This unified framework opens new possibilities for neural decoding, brain-machine interfaces, and cross-species neuroscience, offering a path toward more generalizable models of brain function.
Mark Reimers, Michigan State (https://iq.msu.edu/mark-reimers/)
Location: E5 2004
Title: TBD
Abstract: TBD