Author

Vladimir Miskovic

Binghamton UniversityORCID 0000-0001-6440-5347Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:electronic health records· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Abhishek DattaiD· 1 shared Bruce C. HanseniD· 1 shared Cassady S. OlsoniD· 1 shared David J. Field· 1 shared Marom BiksoniD· 1 shared Michelle R. GreeneiD· 1 shared Nigel GebodhiD· 1 shared Sarah LaszloiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 12 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

1 shared paperNeuroscience

Abhishek DattaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning

Nigel Gebodh, Vladimir Miskovic, Sarah Laszlo, Abhishek Datta, Marom Bikson

This paper introduces a deep learning framework for automated closed-loop neuromodulation that uses diverse datasets and multi-modal stimulation techniques to improve intervention timing and performance.

bioRxiv · Jan 18, 2023 · PreprintNeuroscience

Towards a state-space geometry of neural responses to natural scenes: A steady-state approach

Bruce C. Hansen, David J. Field, Michelle R. Greene, Cassady S. Olson, Vladimir Miskovic

The paper investigates the information carried by steady-state visual evoked potentials (SSVEPs) by mapping high-dimensional responses to a 2D space and introducing a method to measure mutual information.

NeuroImage · Jul 17, 2019Peer-reviewedNeuroscience