CURRENT RESEARCH

Computational Neuroscience

Mathematical models of neural circuits, neural representation, dynamical systems, and stochastic neural computation.

Neural Circuits · Dynamical Systems · Neural Geometry · Modeling

Current Research Direction

I am interested in understanding how neural population activity represents information and how mathematical structure emerges from neural data.

Neural Representation

Studying geometry and structure in population-level neural activity.

Neural Circuits

Modeling interactions between neurons using dynamical systems and stochastic processes.

Computational Models

Building mathematical and computational models to connect theory, neural data, and behavior.

LEARNING & RESEARCH

🧠 Computational Neuroscience Resource Hub

Courses, textbooks, institutes, conferences, tools and other resources I use while studying computational neuroscience.

Computational Neuroscientists

Terrence Sejnowski Salk Institute / UC San Diego Neural computation • Neural networks • Learning and memory • Computational neuroscience • Brain-inspired AI
Wulfram Gerstner EPFL Switzerland Spiking neuron models • Synaptic plasticity • Learning rules • Neural dynamics • Computational neuroscience
Larry Abbott Columbia University Neural circuits • Population coding • Neural dynamics • Theoretical neuroscience • Learning
Surya Ganguli Stanford University Neural networks • Deep learning theory • Neural population geometry • High-dimensional data • Theoretical neuroscience
Scott Linderman Stanford University Statistical neuroscience • Machine learning • Neural data analysis • Latent dynamical systems • Bayesian modeling
John Cunningham Columbia University Computational neuroscience • Machine learning • Neural data analysis • Dimensionality reduction • Neural population activity
Peter Latham Gatsby, UCL Theoretical neuroscience • Neural coding • Neural computation • Probabilistic inference • Network dynamics
Maneesh Sahani Gatsby , UCL Machine learning • Neural coding • Statistical neuroscience • Sensory processing • Neural data analysis
Claudia Clopath Imperial College London Synaptic plasticity • Learning and memory • Neural circuits • Network dynamics • Computational neuroscience
Jonathan Pillow Princeton Computational neuroscience • Neural coding • Statistical modeling • Bayesian inference • Neural data analysis
György Buzsáki NYU Grossman School of Medicine NY Neural oscillations • Hippocampus • Memory • Neural circuits • Population dynamics
Karl Friston UCL Computational neuroscience • Predictive coding • Free-energy principle • Active inference • Neuroimaging
Dan Goodman Imperial College London (Neuromatch) Computational neuroscience • Auditory neuroscience • Neural coding • Spiking neural networks • Neuromatch