Computational Neuroscience

Matthew
Tarchick

Ph.D. · Integrated Bioscience · University of Akron → UC Berkeley

Is a neuron a biological computer? Can a model be a neuron? Every time I make a recording from neural tissue, I ask myself these questions.

The retina is where I look for answers. Stimulus goes in, spike comes out. The circuitry between them is compact, accessible, and exquisitely mappable. If you can build a model that actually behaves like a retina, you've proven something real about how neural systems compute.

My current goal is to constrain biophysical models with multi-omics and spatial transcriptomics so the simulation and the tissue become harder to tell apart.

What I Do
01
Record from living tissue
Patch-clamp, ex vivo ERG, calcium imaging, two-photon microscopy.
02
Build the tools that make both scale
Python pipelines, Julia toolkits, GPU-accelerated analysis.
03
Model what the recording shows
ODE networks, biophysical simulations, reaction-diffusion PDEs.
Analysis Tools
Modeling Tools
Featured Publication
Scientific Reports · 2023
Modeling cholinergic retinal waves: starburst amacrine cells shape wave generation, propagation, and direction bias
Tarchick MJ, Clute DA, Renna JM