CURRENT RESEARCH
Computational Neuroscience
Mathematical models of neural circuits, neural representation, dynamical systems, and stochastic neural computation.
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
π§ Computational Neuroscience Resource Hub
Courses, textbooks, institutes, conferences, tools and other resources I use while studying computational neuroscience.
Courses & Books
Tutorials, prerequisite material and computational neuroscience course videos.
Online textbook by Wulfram Gerstner and collaborators.
Full computational neuroscience course from the Laboratory of Computational Neuroscience.
Networks, machine learning and Python.
Mathematical biology and network modeling.
Dayan & Abbott.
Leading Institutes
Brain and cognitive sciences research.
Neuroscience and computational research.
UCL theoretical and computational neuroscience.
Large-scale neuroscience research and open datasets.
HHMI research campus.
Theoretical and computational approaches to neuroscience.
Major Conferences
Computational Neuroscientists
Simulation & Computational Tools
Public Brain Datasets
Articles, Podcasts & YouTube
Computational neuroscience YouTube channel.
Neuroscience news, commentary and research.
Neuroscience education from the Society for Neuroscience.
Conversations about neuroscience, AI and cognition.
Videos on neuroscience, brain and cognition.
National Institute for Theory and Mathematics in Biology.