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20232025
most citedRegulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025★ 3 cited

Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation

Renee Sirbu, Jessica Morley, Tyler Schroder +4

Brain-computer interfaces offer significant therapeutic opportunities for a variety of neurophysiological and neuropsychiatric disorders and may perhaps one day lead to augmenting…

cs.AR2024★ 1 cited

Swapping-Centric Neural Recording Systems

Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee

Neural interfaces read the activity of biological neurons to help advance the neurosciences and offer treatment options for severe neurological diseases. The total number of neuron…

cs.AR2024

Towards Forever Access for Implanted Brain-Computer Interfaces

Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee

Designs for implanted brain-computer interfaces (BCIs) have increased significantly in recent years. Each device promises better clinical outcomes and quality-of-life improvements,…

cs.AR2024

The Interplay of Computing, Ethics, and Policy in Brain-Computer Interface Design

Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee

Brain-computer interfaces (BCIs) connect biological neurons in the brain with external systems like prosthetics and computers. They are increasingly incorporating processing capabi…

cs.DC2023

A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing

Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michał Gerasimiuk +5

Hull is an accelerator-rich distributed implantable Brain-Computer Interface (BCI) that reads biological neurons at data rates that are 2-3 orders of magnitude higher than the prio…