Current Research
Complex Cortical Computations Using Large-Scale Neural Data

Carsen Stringer wants to understand how neurons work together to quickly parse sensory information to guide decision-making for motor actions. Stringer and her team develop techniques to analyze large-scale neural data – recordings of 20,000+ neurons – and from these analyses, generate hypotheses about how neural circuits compute behaviorally relevant visual features. Some of their ongoing projects include creating a neural atlas of behavioral representations across the mouse brain, comparing neural activity to deep neural networks trained on various visual tasks, and fitting biologically plausible deep network models to visual cortical neural activity. The team also works to develop tools to process large-scale imaging data.

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