Revealing latent stochastic dynamics from neuronal spiking patterns

This is an extention of my previous work From geometry to dynamics on neural data inspired by the work of Genkin, M., Hughes, O., & Engel, T. A. (2021). This essentially reformulates the problem of inference latent stochastic dynamics from a stochastic control perspective.

Presented as a poster:

• at Bernstein conference - Sep. 2022
• at Bernstein conference - Sep. 2023
• at Recent advances in understanding Artificial and Biological Neural Networks, École de physique des Houches, Les Houghes, Feb. 2023

Presented as a talk:

• at Flatiron institute - April 2024
• at Institute for Adaptive and Neural Computation, University of Edinburgh - May 2024