Projects
Leaky Integrate-and-Fire (LIF) Neuron Model
Image taken from Scientific American
What: Simulating how a single neuron (which behaves just like an RC circuit) integrates synaptic inputs and generates spikes (aka action potential).
How: Implemented the Euler method to solve the LIF differential equation. Used vectorized array operations to simulate the neuron’s response across multiple time steps and input currents simultaneously.
Why: A simple and efficient model bridging mathematics to biology, it is the foundation for simulating complex neural networks.
Brain-Wide Mapping Of Dopaminergic Neuron Morphology At Single-Cell Resolution Via Sparse Labeling
What: Mapping the morphology of dopaminergic neurons across the entire brain at the resolution of individual cells.
How: Utilizing sparse labeling techniques (SINGLET).
Why: To uncover the detailed architecture and projection patterns of the dopaminergic system.