Janis Hesse retweeted
Excited to share new work on how the brain makes social inferences from visual input! 🧠👯♂️
(With Leyla Isik, Shari Liu, @tianminshu, & @minjaejk!) biorxiv.org/content/10.648…
(With Leyla Isik, Shari Liu, @tianminshu, & @minjaejk!) biorxiv.org/content/10.648…
1
7
67
3,798
Janis Hesse retweeted
My paper on motor cortex during free flight in bats is online. The dynamics look quite different from the usual picture. Maybe because flight is a hard control problem: hand-like wings, many degrees of freedom, millisecond precision.
cell.com/cell/fulltext/…
cell.com/cell/fulltext/…
5
24
85
6,681
Janis Hesse retweeted
I had trouble fully unpacking what this paper actually was measuring, what its findings were, and what the implications are for human/primate consiousness
so i had Claude read through the paper and this thread, compose a script, and create an explainer video
so i had Claude read through the paper and this thread, compose a script, and create an explainer video
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.648… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
32
89
877
59,259
This explainer video is amazing!
@doristsao explainer video with some possibilities, for 4th graders
2
2
19
1,934
Janis Hesse retweeted
@doristsao explainer video with some possibilities, for 4th graders
5
8
80
15,414
Janis Hesse retweeted
Thrilled to share this new preprint with research led by @HesseJanis. These results have forced me to reconsider some my most basic intuitions about visual perception and consciousness, and I’m incredibly happy to have been part of this project.
More: biorxiv.org/content/10.648…
More: biorxiv.org/content/10.648…
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.648… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
0
2
13
816
Very excited to share the most important discovery of my career yet: your brain switches between a conscious and an unconscious mode ~15 times every second. Consciousness may depend not on where in the brain activity occurs but when.
Find out more below.
bit.ly/3WvA6di
Find out more below.
bit.ly/3WvA6di
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.648… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
100
321
2,535
164,535
Janis Hesse retweeted
Our paper is now out!
nature.com/articles/s4158…
A big question:
1) Is IT cortex well described as a general-purpose feedforward DNN?
OR
2) Are face patches genuinely specialized for processing faces?
Read on to find out the answer. (1/N)
nature.com/articles/s4158…
A big question:
1) Is IT cortex well described as a general-purpose feedforward DNN?
OR
2) Are face patches genuinely specialized for processing faces?
Read on to find out the answer. (1/N)
2
22
89
29,461
Janis Hesse retweeted
I'm thrilled to announce that our work to develop the Neuropixels-NHP 1.0 neural recording probe is now out in print in Nature Neuroscience.
nature.com/articles/s4159…
nature.com/articles/s4159…
5
56
198
18,391
Our paper on developing Neuropixels 1.0 NHP for deep recordings in the primate brain is now out in @NatureNeuro.
Neuropixels 1.0 NHP: a 45 mm, high-density silicon probe capable of recording large numbers of neurons with single-neuron resolution from most areas in a macaque’s brain
nature.com/articles/s4159…
0
1
16
2,062
Janis Hesse retweeted
1/10 Very excited to announce that my thesis project is now a preprint! We present the first detailed study of mental imagery in human ventral temporal cortex, bringing together the interests of @doristsao and @UeliRutishauser. biorxiv.org/content/10.110…
6
50
228
54,900
Janis Hesse retweeted
This (Tuesday) afternoon at #sfn2024 ! Come check out @HesseJanis talk about his work on conscious perception in MCP Room S106!4:00 PM - 4:15 PM. NANO32.13 -
Dynamics of representations of conscious perception and physical stimulus across inferotemporal, parietal and prefrontal cortex in binocular rivalry
Dynamics of representations of conscious perception and physical stimulus across inferotemporal, parietal and prefrontal cortex in binocular rivalry
0
4
32
3,711
Thrilled to share the discovery that face cells rapidly code-switch, within 20 ms, from a tuning optimized for face detection to a completely different tuning optimized for face discrimination. This switch is gated by successful detection of a face and doesn’t happen for objects.
I am beyond excited to share a new paper “Rapid, concerted switching of the neural code in inferotemporal cortex,” led by @Yuelin_Shi and Dasheng Bi. We describe a new form of neural computation in which single neurons rapidly change their tuning to temporally multiplex different functions. In < 20 ms, cells switch from a code optimized for face detection to a code optimized for face discrimination. I think this discovery fundamentally changes our current concept of neural representation. (1/N)
biorxiv.org/content/10.110…
0
4
59
8,310
Excited to share that we found modules in visual cortex for segmenting a visual scene into objects. Find more details in our paper just published in PNAS (pnas.org/doi/10.1073/pn…) or the summary thread below: (1/8)
2
37
147
31,359
We could also decode segmentation from cells in segmentation patches (86%, chance:25%), significantly better than outside the patches. Interestingly, color could be decoded less well from segmentation patches compared to outside regions. (7/8)
1
0
4
813
