Author

Anindya Pattanayak

Visva-Bharati UniversityORCID 0000-0001-6624-7127Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 1

Frequent Co-Authors

Raju Surampudi BapiiD· 1 shared Rakesh SenguptaiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Raju Surampudi BapiORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

NeurosciencebioRxivPreprintApr 10, 2017

From Neural Network To Psychophysics Of Time: Exploring Emergent Properties Of RNNs Using Novel Hamiltonian Formalism

Rakesh Sengupta, Anindya Pattanayak, Raju Surampudi Bapi

This paper introduces a Hamiltonian formalism to construct Liapunov functions for recurrent neural networks, enabling analysis of emergent properties and psychophysical applications.

1 citation

statistical model

𝕏 PostBluesky