Brandon S. Coventry
Neuroscience · Purdue University West Lafayette
Publications
20
Citations
73
Est. group size
~2
Recurring co-author estimate
Active years
13
Publishing since 2014
Brandon S. Coventry's research focuses on developing and understanding neural stimulation and sensing technologies, including infrared and electrical methods for activating nerves and brain circuits, as well as low-power hardware and computational tools (Bayesian inference, deep reinforcement learning) for analyzing and controlling neural activity. This work spans neural engineering, neuroscience, and hardware design, with applications like closed-loop deep brain stimulation and neural interfaces. Students would likely engage with both experimental neurophysiology and computational/hardware development methods.
Publication output was sparse and irregular in the earlier part of the decade but has grown notably since 2022, reaching its highest annual count in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- mSDF-DFT: An ultra-low energy discrete Fourier transform architecture for closed-loop neural sensing
Journal of Systems Architecture · 2026
- Self-Aligned Multilayered Nitrogen Vacancy Diamond Nanoparticles for High Spatial Resolution Magnetometry of Microelectronic Currents
Nano Letters · 2025
- Focal thalamic infrared neural stimulation propagates dynamical transformations in auditory cortex
Journal of Neural Engineering · 2025
- Field-Programmable Gate Array-Based Ultra-Low Power Discrete Fourier Transforms for Closed-Loop Neural Sensing
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Focal Infrared Neural Stimulation Propagates Dynamical Transformations in Auditory Cortex
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- ID# 1907125 Deciphering the Origins of Evoked Compound Action Potentials in Peripheral Nerves: Mechanism and Implication
Neuromodulation Technology at the Neural Interface · 2025
- Author response for "Focal thalamic infrared neural stimulation propagates dynamical transformations in auditory cortex"
2025
- Practical Bayesian Inference in Neuroscience: Or How I Learned to Stop Worrying and Embrace the Distribution
eNeuro · 2024
- Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation
STAR Protocols · 2024
- Closed-Loop Reinforcement Learning Based Deep Brain Stimulation Using SpikerNet: A Computational Model
2023
- Practical Bayesian Inference in Neuroscience: Or How I Learned To Stop Worrying and Embrace the Distribution
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Short-wave Infrared Neural Stimulation Drives Graded Sciatic Nerve Activation Across A Continuum of Wavelengths
2020
- Hierarchical winner-take-all particle swarm optimization social network for neural model fitting
Journal of Computational Neuroscience · 2016
- bioRxiv (Cold Spring Harbor Laboratory)×4
- PNAS Nexus×1
- eNeuro×1
- Frontiers in Human Neuroscience×1
- Frontiers in Virtual Reality×1
- Kevin J. Otto
Neuroscience · Purdue University West Lafayette
- Ming Yin
Neuroscience · Purdue University West Lafayette
- Roy Lycke
Neuroscience · Purdue University West Lafayette
- Krishna Jayant
Neuroscience · Purdue University West Lafayette
- Ken Yoshida
Neuroscience · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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