www.biorxiv.org/content/10.1...
We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere:
This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA
It’s quite the opposite!
(thread)
We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere:
This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA
It’s quite the opposite!
(thread)
Any good resources on this? Samples people would be willing to share?
@neural-reckoning.org @kordinglab.bsky.social @gunnarblohm.bsky.social
Any good resources on this? Samples people would be willing to share?
@neural-reckoning.org @kordinglab.bsky.social @gunnarblohm.bsky.social
Deadline to apply: 12/22/2025
Spend 9 weeks in a paid, mentored biomedical research experience in an HHMI lab. See you next summer!!!
www.hhmi.org/programs/cec...
Deadline to apply: 12/22/2025
Spend 9 weeks in a paid, mentored biomedical research experience in an HHMI lab. See you next summer!!!
www.hhmi.org/programs/cec...
We recorded neurons in the thalamus and subthalamic nucleus of humans and found both sensory- and perception-selective neurons with two distinct latencies!
7-year project with @nfaivre.bsky.social + @foscobernasconi.bsky.social.
A short thread 👇
We recorded neurons in the thalamus and subthalamic nucleus of humans and found both sensory- and perception-selective neurons with two distinct latencies!
7-year project with @nfaivre.bsky.social + @foscobernasconi.bsky.social.
A short thread 👇
We decode characters, events, & other features and investigate how populations and single neurons represent movie features. Check my poster @sfn.org #sfn25!
Sat. Nov 15, 6:45-8:45pm, Hall E, poster S5
Wed. Nov 19, 9-10am, poster NN5
1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:
doi.org/10.1101/2025...
1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:
doi.org/10.1101/2025...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
#WomenInNeuroscience #StoriesOfWiN #SFN2025
#blueprint 1/7
#blueprint 1/7
I'm very grateful to our patients, my co-authors and the funders. And to anyone who reads it :-) 🧠📈🧵👇(1/5)
I'm very grateful to our patients, my co-authors and the funders. And to anyone who reads it :-) 🧠📈🧵👇(1/5)
There's one week left to sign up - registration closes Nov. 1st. You don't want to miss this!
#StoriesOfWiN #SfN #WomenInNeuroscience
There's one week left to sign up - registration closes Nov. 1st. You don't want to miss this!
#StoriesOfWiN #SfN #WomenInNeuroscience
We present exciting work on applying transfer learning on minimally invasive recordings to build scalable speech BCI for a more heterogeneous population. #iEEG #neuroskyence
Check it out : www.nature.com/articles/s41...
We present exciting work on applying transfer learning on minimally invasive recordings to build scalable speech BCI for a more heterogeneous population. #iEEG #neuroskyence
Check it out : www.nature.com/articles/s41...
Akshat Gupta led a fun project to find out! We leverage TunedLens (~linear decoding of tokens) to explore how LLMs' internal representations change from layer to layer.
Preprint: arxiv.org/abs/2510.18871
1/
Akshat Gupta led a fun project to find out! We leverage TunedLens (~linear decoding of tokens) to explore how LLMs' internal representations change from layer to layer.
Preprint: arxiv.org/abs/2510.18871
1/
@karalmckinley.bsky.social
We built the first transgenic model of menstruation in mice.
We used it to uncover how the endometrium organizes and sheds during menstruation. 🧪
www.biorxiv.org/content/10.1...
🧵
@karalmckinley.bsky.social
We built the first transgenic model of menstruation in mice.
We used it to uncover how the endometrium organizes and sheds during menstruation. 🧪
www.biorxiv.org/content/10.1...
🧵