Author

Sweta Kumari

Indian Institute of Technology MadrasORCID 0000-0003-0441-6065Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

V. Srinivasa ChakravarthyiD· 2 shared M. Nivethithan· 1 shared V. Y. Shobha Amala· 1 shared Vigneswaran ChandrasekaraniD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

V. Srinivasa ChakravarthyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceNeural Computing and ApplicationsPeer-reviewedMay 4, 2023

The Flip-flop neuron - A memory efficient alternative for solving challenging sequence processing and decision making problems

Sweta Kumari, Vigneswaran Chandrasekaran, V. Srinivasa Chakravarthy

The paper introduces a JK flip-flop neuron model for sequence processing tasks, showing it outperforms LSTMs with fewer parameters.

9 citations

deep learningsequence-to-function modeling

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 1, 2022

ASM-3D: An attentional search model fashioned after what andwhere/how pathways for target search in 3D environment

Sweta Kumari, V. Y. Shobha Amala, M. Nivethithan, V. Srinivasa Chakravarthy

The paper introduces an attentional search model inspired by visual pathways to locate targets in 3D environments using classifier and camera motion networks.

DOI 10.1101/2022.08.01.502278

deep learningstatistical model

𝕏 PostBluesky