@jacobgranley.bsky.social
Postdoc at UCSB studying Machine Learning, Computational Neuroscience, and NeuroAI
Reposted
🧠 New preprint: we show that model-guided microstimulation can steer monkey visual behavior.
Paper: arxiv.org/abs/2510.03684
🧵
Paper: arxiv.org/abs/2510.03684
🧵
October 7, 2025 at 3:22 PM
🧠 New preprint: we show that model-guided microstimulation can steer monkey visual behavior.
Paper: arxiv.org/abs/2510.03684
🧵
Paper: arxiv.org/abs/2510.03684
🧵
Reposted
A glimpse at what #NeuroAI brain models might enable: a topographic vision model predicts stimulation patterns that steer complex object recognition behavior in primates. This could be a key 'software' component for visual prosthetic hardware 🧠🤖🧪
October 8, 2025 at 11:11 AM
A glimpse at what #NeuroAI brain models might enable: a topographic vision model predicts stimulation patterns that steer complex object recognition behavior in primates. This could be a key 'software' component for visual prosthetic hardware 🧠🤖🧪
Reposted
I've been arguing that #NeuroAI should model the brain in health *and* in disease -- very excited to share a first step from Melika Honarmand: inducing dyslexia in vision-language-models via targeted perturbations of visual-word-form units (analogous to human VWFA) 🧠🤖🧪 arxiv.org/abs/2509.24597
October 2, 2025 at 12:10 PM
I've been arguing that #NeuroAI should model the brain in health *and* in disease -- very excited to share a first step from Melika Honarmand: inducing dyslexia in vision-language-models via targeted perturbations of visual-word-form units (analogous to human VWFA) 🧠🤖🧪 arxiv.org/abs/2509.24597
Reposted
👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human!
TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.
www.biorxiv.org/content/10.1...
TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.
www.biorxiv.org/content/10.1...
September 27, 2025 at 2:52 AM
👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human!
TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.
www.biorxiv.org/content/10.1...
TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.
www.biorxiv.org/content/10.1...