- Quantum-enhanced causal discovery for a small number of samples
- Chaotic neural dynamics facilitate probabilistic computations through sampling
- Reconstruction of Phase Dynamics from Macroscopic Observations Based on Linear and Nonlinear Response Theories
- Inferring neuronal couplings from spiking data using a systematic procedure with a statistical criterion
- Linear response theory in coupled phase oscillators with general coupling functions
- Objective and efficient inference for couplings in neuronal networks
- A role of asymmetry in linear response of globally coupled oscillator systems
- Nonstandard transitions in the Kuramoto model: a role of asymmetry in natural frequency distributions
- Dynamics of two populations of phase oscillators with different frequency distributions
International Presentations:
- COSYNE 2023
- Neuroscience 2022
- Statistical Physics and Neural Computation (SPNC-2019)
- 40 years of Replica Symmetry Breaking
- 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
Research Experience
Reseacher at Advanced Research Lab, Sony Group Corporation
Background
Fields of Interest: Theoretical (Computational) Neuroscience, Machine Learning, Statistical Physics; Summary: Interested in information processing and dynamics in neuronal systems. Trying to resolve problems in neuroscience using theory in physics and mathematics.