Yu Terada
Scholar

Yu Terada

Google Scholar ID: QlR9ddsAAAAJ
Sony
Computational NeuroscienceMachine LearningStatistical PhysicsQuantum Computing
Citations & Impact
All-time
Citations
61
 
H-index
5
 
i10-index
2
 
Publications
11
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - 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.