Human Neocortical Neurosolver (HNN) is a user-friendly tool for researchers & clinicians to develop/test hypotheses on the neural origins of their EEG/MEG datahnn.brown.edu Brown UniversityJoined March 2020
Join us at our 2025 Spring Online Human Neocortical Neurosolver (HNN) Workshop! This workshop will be on Wednesday, April 9th from 9 AM - 3 PM (ET). Find out more 👉 tinyurl.com/hnn-workshop-r….
Seats are limited!
Excited to be giving a talk at #SfN24 on the latest developments for neural modeling with @HNNsolver!
I'll be giving a high-level overview, and share results from my most recent paper on model fitting 💻
🎙️Room N427 Mon Oct 7 2:30-2:45 PM (NANO36.07)
📄doi.org/10.1371/journa…
Are you a lumper or a splitter?
Our assessment of a recent Nature Neuroscience paper by Mendoza-Halliday, Major, Desimone, Miller, Bastos et al. is up on BioRxiv.
biorxiv.org/content/10.110…
We're excited for @darcydiesburg latest results applying @HNNsolver to study mechanisms of the stopping process in frontal cortex. Be sure to stop by her poster on Friday 8/9 if you're at @CogCompNeuro and be in touch to learn more!
We're excited for @darcydiesburg latest results applying @HNNsolver to study mechanisms of the stopping process in frontal cortex. Be sure to stop by her poster on Friday 8/9 if you're at @CogCompNeuro and be in touch to learn more!
It was exciting to introduce @HNNsolver to the consciousness community at @ASSC27tokyo. Thanks to Andy for organizing and to the community for the engagement. Looking forward to seeing how HNN can help shape the field.
Check out this first application of HNN to prefrontal cortex signals! In the foundational study, @darcydiesburg applied HNN to study mechanisms action stopping by testing predictions of the race model.
Check out this first application of HNN to prefrontal cortex signals! In the foundational study, @darcydiesburg applied HNN to study mechanisms action stopping by testing predictions of the race model.
Excellent work by Nick Tolley using deep learning-based surrogate models to approximate detailed large-scale modeling in HNN! Check out his poster and go say hi if your @CosyneMeeting#COSYNE24
Excellent work by Nick Tolley using deep learning-based surrogate models to approximate detailed large-scale modeling in HNN! Check out his poster and go say hi if your @CosyneMeeting#COSYNE24
2K Followers 4K FollowingStudying how the brain makes consciousness with particular emphasis on how it makes the 3D geometries within perceptual space ("cognitive map").
198 Followers 1K Following#physics
#computational_neuroscience
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I focus on how we know what we know!
1 Followers 66 FollowingResearch into artificial and biological intelligence
Interested in neuromorphic computing and biologically inspired ANN algorithms.
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346 Followers 628 FollowingResearch Software Engineer for @HNNsolver in lab of @drstephjones. Prior: PhD in computational neuroscience, simulations of thalamocortical oscillations.
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