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Projects

in this lab we build models of the brain with spiking neurons, and we conduct experiments on those models to create theories of how the brain computes.

so what are spikes? also known as action potentials, spikes are rapid electrical signals that neurons generate to communicate with one another. they’re called spikes because that’s the shape of the plot! (specifically the plot of the neuron’s membrane voltage over time.)

currently, we are studying how multiple types of neurons contribute differently to computations in our models, and how different ways of training the models leads to different end behaviors.

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Presentations

Bernstein conference 2024, frankfurt: Ulas and ivyer are each presenting a poster on Sept 30 and oct 1!

Society for Neuroscience 2024, chicago: dora and antara are presenting together at the early career poster session on oct 5!

Publications

zhu et al. 2023 is about how changes in inhibitory connectivity are crucial for spiking neural network models to learn even a simple task

bojanek & zhu et al. 2020 is about how three-neuron (triangle) patterns support stable activity in spiking neural network models.

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People

yuqing zhu, phd

ulas ayyilmaz

ivyer qu

antara krishnan

dora li

patrick liu

Yotam twersky

daniel yoon

ezra ford

yufei meng