Author

Hassan Akbari

Mortimer B. Zuckerman Mind Brain Behavior Institute

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· 2

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1

Frequent Co-Authors

Ashesh D. MehtaiD· 2 shared Bahar KhalighinejadiD· 2 shared Jose L. HerreroiD· 2 shared Nima MesgaraniiD· 2 shared Menoua KeshishianiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Ashesh D. MehtaORCID

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2 papers

Recent·Most cited

Estimating and interpreting nonlinear receptive fields of sensory responses with deep neural network models

Menoua Keshishian, Hassan Akbari, Bahar Khalighinejad, Jose L. Herrero, Ashesh D. Mehta, Nima Mesgarani

This paper introduces a deep neural network framework to model nonlinear sensory responses, showing improved prediction accuracy and revealing distinct nonlinear transformations in auditory regions.

eLife · Jun 26, 2020Peer-reviewedNeuroscience

Towards reconstructing intelligible speech from the human auditory cortex

Hassan Akbari, Bahar Khalighinejad, Jose L. Herrero, Ashesh D. Mehta, Nima Mesgarani

This paper improves speech reconstruction from the human auditory cortex using deep learning and speech synthesis, achieving 65% better intelligibility than previous methods.

Scientific Reports · Jan 29, 2019Peer-reviewedNeuroscience