Author

S. Nalawade

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Biology Disciplines

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Bioengineering· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:field survey / ecological data· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

B. Wagner· 1 shared C. G. Bangalore Yogananda· 1 shared E. Davenport· 1 shared G. K. Murugesan· 1 shared J. A. Maldjian· 1 shared W. H. Kim· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioengineering

B. Wagner

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1 paper

Recent·Most cited

BioengineeringbioRxivFeb 16, 2020

BrainNET: Inference of brain network topology using Machine Learning

G. K. Murugesan, S. Nalawade, C. G. Bangalore Yogananda…·J. A. Maldjian

BrainNET, a machine learning method for fMRI network inference, outperforms correlation and partial correlation in identifying brain network changes in ADHD.

DOI 10.1089/brain.2020.0745

humanfield survey / ecological data

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