Project:	Biophysics-informed ML & NeuroAI
Disciplines:	Applied and Computational Mathematics, Computation and Neural Systems
Mentor:	Costas Anastassiou, Associate Professor, (EAS), costas@caltech.edu
Mentor URL:	Anastassioulab.org  (opens in new window)
Background:	As powerful as the human brain is, its structure is constrained by physics and biology rules that shape its function. The powerful machine learning systems of today do not follow such rules. We study how the rules and constraints imposed on the most efficient computer known to man, the human brain, can inspire new computational paradigms and topologies.
Description:	The student will work with our team to develop existing neuroAI modeling code , testing and validating extensions to it to make it amenable to modulation technologies (like deep brain stimulation technologies)
References:	“NOBLE--Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models” Luca Ghafourpour, Valentin Duruisseaux, Bahareh Tolooshams, Philip H Wong, Costas A Anastassiou, Anima Anandkumar, Advances in Neural Information Processing Systems (in press) “Cell class-specific electric field entrainment of neural activity” Soo Yeun Lee, Konstantinos Kozalakis, Fahimeh Baftizadeh, Luke Campagnola, Tim Jarsky, Christof Koch, Costas A. Anastassiou, Neuron, 112:15, P2614-2630 (2024)
Student Requirements:	strong coding and data wrangling skills are essential for this position
Programs:	This AO can be done under the following programs:   Program    Available To        Amgen Scholars    Non-Caltech students only          SURF    both Caltech and non-Caltech students  Click on a program name for program info and application requirements.