3 citations · 7 across the 9 of their papers we have counts for
9 papers
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…
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…
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,…
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…
The QUATRO Application Suite: Quantum Computing for Models of Human Cognition
Raghavendra Pradyumna Pothukuchi, Leon Lufkin, Yu Jun Shen +14
Research progress in quantum computing has, thus far, focused on a narrow set of application domains. Expanding the suite of quantum application domains is vital for the discovery…
Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
Ketaki Joshi, Raghavendra Pradyumna Pothukuchi, Andre Wibisono +1
Continual learning on sequential data is critical for many machine learning (ML) deployments. Unfortunately, LSTM networks, which are commonly used to learn on sequential data, suf…
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li +2
Side-channel attacks that use machine learning (ML) for signal analysis have become prominent threats to computer security, as ML models easily find patterns in signals. To address…
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…
Distill: Domain-Specific Compilation for Cognitive Models
Jan Vesely, Raghavendra Pradyumna Pothukuchi, Ketaki Joshi +3
This paper discusses our proposal and implementation of Distill, a domain-specific compilation tool based on LLVM to accelerate cognitive models. Cognitive models explain the proce…