Author

Manasij Venkatesh

University of Maryland, College Park

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 4

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Organism:human· 4 Research Focus:clustering· 3 Research Focus:dimensionality reduction· 3 Approach:deep learning· 2 Assay:imaging· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Luiz PessoaiD· 4 shared Joseph F. JáJáiD· 3 shared Chirag Limbachia· 1 shared Joseph Jaja· 1 shared Joyneel MisraiD· 1 shared Srinivas Govinda SurampudiiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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4 shared papersNeuroscience

Luiz PessoaORCID

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4 papers

Recent·Most cited

Learning brain dynamics for decoding and predicting individual differences

Luiz Pessoa, Chirag Limbachia, Joyneel Misra, Srinivas Govinda Surampudi, Manasij Venkatesh, Joseph Jaja

This paper introduces a recurrent neural network-based framework to decode and predict individual differences in brain dynamics using fMRI data from movie-watching and experimental conditions.

PLoS Computational Biology · Sep 3, 2021Peer-reviewedNeuroscience

Capturing brain dynamics: latent spatiotemporal patterns predict stimuli and individual differences

Manasij Venkatesh, Joseph F. JáJá, Luiz Pessoa

The paper introduces an LSTM-based framework to analyze spatiotemporal brain dynamics from fMRI data, showing it can classify movie stimuli and predict individual traits.

bioRxiv · Jun 11, 2020 · PreprintNeuroscience

Comparing Functional Connectivity Matrices: A Geometry-Aware Approach applied to Participant Identification

Manasij Venkatesh, Joseph F. JáJá, Luiz Pessoa

This paper introduces a geodesic distance metric to compare functional connectivity matrices, achieving high participant identification accuracy and outperforming traditional methods.

NeuroImage · Nov 26, 2019Peer-reviewedNeuroscience

Brain dynamics and temporal trajectories during task and naturalistic processing

Manasij Venkatesh, Joseph F. JáJá, Luiz Pessoa

The paper introduces reservoir computing for analyzing dynamic fMRI data, showing it can classify tasks and extract low-dimensional temporal trajectories with high accuracy.

NeuroImage · Nov 16, 2018Peer-reviewedNeuroscience