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Chandramouli Chandrasekaran

2 accepted papers

2025

In vivo cell-type and brain region classification via multimodal contrastive learning

ICLR 2025spotlight

Current electrophysiological approaches can track the activity of many neurons, yet it is usually unknown which cell-types or brain areas are being recorded without further molecular or histological analysis. Developing accurate and scalable algorithms for identifying the cell-type and brain region…

Cited by 1SourcePDFScholar
2021

A mechanistic multi-area recurrent network model of decision-making

NeurIPS 2021poster

Recurrent neural networks (RNNs) trained on neuroscience-based tasks have been widely used as models for cortical areas performing analogous tasks. However, very few tasks involve a single cortical area, and instead require the coordination of multiple brain areas. Despite the importance of multi-ar…

Cited by 18SourcePDFScholar