Ariel K. Feldman

Affiliations: 
2016-2020 Computer Science Rice University, Houston, TX 
 2020- Program in Neural Computation Carnegie Mellon / Univ. of Pittsburgh, Pittsburgh, PA, United States 
Area:
Neuroengineering, BCI
Website:
https://arielfeldman.github.io/
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"Ariel K. Feldman"
Bio:

Ariel K. Feldman received the bachelor’s degree in computer science and cognitive sciences from Rice University. She is currently pursuing the Ph.D. degree in neural computation with Carnegie Mellon University. Her research interests are in neural engineering, centered within the design and development of novel neurotechnologies. She is especially interested in understanding the information content contained within noisy neural signals. Her work has spanned fundamental neuroscientific research in animals to clinical trials in humans. As a member of the NeuroMechatronics Laboratory, she collaborates closely with engineers, neuroscientists, clinicians, and members of industry. Her efforts have won her the Carnegie Prize in Mind and Brain Sciences Ph.D. Fellowship, the Henry L. Hillman Presidential Fellowship, and the R.K. Mellon Presidential Fellowship.

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Parents

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Caleb Kemere research assistant 2017-2019 Rice University
Douglas J. Weber grad student 2020- Carnegie Mellon

Collaborators

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Shayok Dutta collaborator 2017-2020 Rice University
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Publications

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Kacker K, Chetty N, Feldman AK, et al. (2025) Motor activity in gamma and high gamma bands recorded with a Stentrode from the human motor cortex in two people with ALS Journal of Neural Engineering
Feldman AK, Venkatesh P, Weber DJ, et al. (2024) Information-theoretic tools to understand distributed source coding in neuroscience Ieee Journal On Selected Areas in Information Theory. 509 - 519
Singer A, Dutta S, Lewis E, et al. (2020) Magnetoelectric Materials for Miniature, Wireless Neural Stimulation at Therapeutic Frequencies. Neuron
Singer A, Dutta S, Lewis E, et al. (2020) Magnetoelectric Materials for Miniature, Wireless Neural Stimulation at Therapeutic Frequencies Neuron
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