Adi Tarigoppula

autonomous brain-machine interface

Venkata Satyanarayana Aditya Tarigoppula, Joseph Francis, Brandi Marsh

Automatic speech recognition in neurodegenerative disease

Benjamin G Schultz, Venkata S Aditya Tarigoppula, Gustavo Noffs, Sandra Rojas, Anneke van der Walt, David B Grayden, Adam P Vogel

Journal article  |  2021  |  INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY

Automatic speech recognition (ASR) could potentially improve communication by providing transcriptions of speech in real time. ASR..

Multi-frequency Electrocochleography Measurements can be Used to Monitor and Optimize Electrode Placement During Cochlear Implant Surgery

Aniket A Saoji, Neil S Patel, Matthew L Carlson, Brian A Neff, Kanthaiah Koka, Venkata S Aditya Tarigoppula, Colin LW Driscoll

Journal article  |  2019  |  OTOLOGY & NEUROTOLOGY

OBJECTIVE: To report the use of multi-frequency intra-cochlear electrocochleography (ECOG) in monitoring and optimizing electrode ..

Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface

Junmo An, Taruna Yadav, Mohammad Badri Ahmadi, Venkata S Aditya Tarigoppula, Joseph Thachil Francis

Conference Proceedings  |  2018  |  2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

We are developing an autonomously updating brain machine interface (BMI) utilizing reinforcement learning principles. One aspect o..

Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning

Brandi T Marsh, Venkata S Aditya Tarigoppula, Chen Chen, Joseph T Francis

Journal article  |  2015  |  JOURNAL OF NEUROSCIENCE

For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the stand..

Processing of a directionally dependent reward signal in motor and somatosensory units

Marib Akanda, David McNiel, Aditya Tarigoppula, Pratik Y Chhatbar, Joseph Francis

Conference Proceedings  |  2014  |  2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)

Extraction of a reward expectation signal from cortical units following ballistic movements generated by a brain machine interface

David McNiel, Marib Akanda, Aditya Tarigoppula, Pratik Y Chhatbar, Joseph Francis

Conference Proceedings  |  2014  |  2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)

Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex.

Aditya Tarigoppula, Nick Rotella, Joseph T Francis

Conference Proceedings  |  2012  |  Annu Int Conf IEEE Eng Med Biol Soc

Our overall goal is to develop a reinforcement learning (RL) based decoder for brain machine interfaces. As an important step in t..

Control of a center-out reaching task using a reinforcement learning Brain-Machine Interface

Justin C Sanchez, Aditya Tarigoppula, John S Choi, Brandi T Marsh, Pratik Y Chhatbar, Babak Mahmoudi, Joseph T Francis

Conference Proceedings  |  2011  |  2011 5th International IEEE/EMBS Conference on Neural Engineering