Exploring the intersection of neuroscience, computation, and artificial intelligence through research, code, and theory.
From the Lab Notebook
Recent explorations in computational neuroscience and machine learning.
Current Projects
Ongoing work at the intersection of neuroscience and computation.
Investigating how attractor dynamics in recurrent neural networks can explain working memory and decision-making processes in the brain.
Developing energy-efficient computing architectures inspired by the brain's neural organization and spike-based communication.
Creating novel statistical methods and machine learning approaches for analyzing high-dimensional neural recordings.
Building computational models that bridge neural-level mechanisms with cognitive-level phenomena like attention and learning.
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The Scientist Behind the Code
Neuroscience Hobbiest
I'm a passionate enthusiast exploring how the brain works through computational models and neuroscience concepts.
While not a professional researcher, I enjoy studying neural computation as a hobby, combining my interest in mathematics, programming, and brain science.
This blog shares my personal explorations, tutorials, and thoughts on neuroscience and AI from a hobbyist's perspective.