Author

T. Can

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Neuroscience· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:rat· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

C. D. Brody· 1 shared J. W. Pillow· 1 shared K. Krishnamurthy· 1 shared T. D. Kim· 1 shared T. Z. Luo· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

C. D. Brody

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1 paper

Recent·Most cited

Flow-field inference from neural data using deep recurrent networks

T. D. Kim, T. Z. Luo, T. Can, K. Krishnamurthy, J. W. Pillow, C. D. Brody

This paper introduces FINDR, a deep learning method that infers low-dimensional nonlinear dynamics from neural data, outperforming existing methods in capturing neuron responses and visualizing flow fields.

bioRxiv · Nov 14, 2023 · PreprintNeuroscience