Janis Hesse

Cracking consciousness one brain at a time.

[Yuelin Shi @Yuelin_Shi]

Our paper is now out!
https://t.co/qn7xmgh82r
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)

[Eric Trautmann @EricMTrautmann]

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.
https://t.co/ZU4VxxZjVY

[Janis Hesse @HesseJanis]

Our paper on developing Neuropixels 1.0 NHP for deep recordings in the primate brain is now out in @NatureNeuro.

[Nature Neuroscience @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

https://t.co/ynPexC0B7r

[Janis Hesse @HesseJanis]

@abhidwarakanath Congrats!! See you in Crete then? :)

[Janis Hesse @HesseJanis]

@abhidwarakanath So sorry to hear that Abhi! 😥

[VarunWadia @WadiaVarun]

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. https://t.co/LBukzKqMOA

[Doris Tsao @doristsao]

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

[Janis Hesse @HesseJanis]

@abhidwarakanath So sorry to hear that Abhi! 😥

[Janis Hesse @HesseJanis]

@ryanjhcho @doristsao Hi Ryan! We think it’s possible, however, given that the switch is gated by successful detection of a face, the face patch system itself may be in a good position to induce the switch through recurrence. Also note that the switch happens later in AM, the highest-level face patch.

[Janis Hesse @HesseJanis]

@Chappie2029 That's an interesting paper, thank you, Josh!

[Janis Hesse @HesseJanis]

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.

[Doris Tsao @doristsao]

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)
https://t.co/4UGciuD2cV

[Janis Hesse @HesseJanis]

@Chappie2029 Great question! We are currently agonistic to where the switch is originating from, and we would like to figure that out in the future.

[Janis Hesse @HesseJanis]

@Neurocircuits Congratulations!! Happy data collection!

[Janis Hesse @HesseJanis]

@Nir_lahav @Nir_lahav where did you camp this year? My camp, Campus Callosum, partnered up this year with Mind’s Eye Bonsai, who made the Oculus in the first picture.

[Janis Hesse @HesseJanis]

@Neurocircuits @EricMTrautmann @jdlieber @gabrielmstine Yes feel free to send me a DM or email @Neurocircuits !

[Janis Hesse @HesseJanis]

The discovery of segmentation patches makes future studies on how the brain segments the visual scene more tractable. E.g., in the future, it would be interesting to see whether inhibition of these patches leads to behavioral deficits related to scene segmentation. (8/8)

[Janis Hesse @HesseJanis]

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 (https://t.co/gHnoWSNBKh) or the summary thread below: (1/8)

[Janis Hesse @HesseJanis]

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)