Parameter Inference Based on Phase Oscillator Models from Oscillatory or Spike Data

A lecture from the "Discussion Meeting on Neuroscience, Data Science and Dynamics" exploring parameter inference techniques based on phase oscillator models applied to oscillatory or spike data. Presented by Hiroshi KORI from the International Centre for Theoretical Sciences, this 39-minute talk contributes to an interdisciplinary meeting that brings together concepts from neuroscience, dynamics, and data science. The discussion meeting, organized by Amit Apte, Neelima Gupte, and Ramakrishna Ramaswamy, features the Turing lectures by Prof. Gabriel Mindlin on "The Physics of Birdsong" and provides opportunities for researchers to interact and develop collaborations in this emerging field.