Colton Casto (@_coltoncasto) 's Twitter Profile
Colton Casto

@_coltoncasto

PhD student @Harvard @MIT working with @ev_fedorenko @nancy_kanwisher | interested in neuroscience, language, AI | @KempnerInst @SHBTHarvard @mitbrainandcog

ID: 1609282724790935560

linkhttp://coltoncasto.github.io calendar_today31-12-2022 20:18:23

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ammar m (@amarvi_) 's Twitter Profile Photo

**ecstatic** to share our ICLR 2025 paper: sparse components distinguish visual pathways & their alignment to neural networks, with Nancy Kanwisher @[email protected] and Meenakshi Khosla (openreview.net/forum?id=IqHeD…) 1/n

Greta Tuckute (@gretatuckute) 's Twitter Profile Photo

What are the organizing dimensions of language processing? We show that voxel responses are organized along 2 main axes: processing difficulty & meaning abstractness—revealing an interpretable, topographic representational basis for language processing shared across individuals.

Kempner Institute at Harvard University (@kempnerinst) 's Twitter Profile Photo

Thrilled to announce the 2025 recipients of #KempnerInstitute Research Fellowships: Elom Amemastro, Ruojin Cai, David Clark, Alexandru Damian, William Dorrell, Mark Goldstein, Richard Hakim, Hadas Orgad, Gizem Ozdil, Gabriel Poesia, & Greta Tuckute! bit.ly/3IpzD5E

Thrilled to announce the 2025 recipients of #KempnerInstitute Research Fellowships: Elom Amemastro, Ruojin Cai, David Clark, Alexandru Damian, William Dorrell, Mark Goldstein, Richard Hakim, Hadas Orgad, Gizem Ozdil, Gabriel Poesia, & Greta Tuckute!

bit.ly/3IpzD5E
Kempner Institute at Harvard University (@kempnerinst) 's Twitter Profile Photo

We’re thrilled to introduce the 2025 cohort of #KempnerInstitute Graduate Fellows! This year’s recipients include grad students enrolled across five Harvard University Ph.D. programs. Read more: bit.ly/3TYzZ5H Harvard SEAS, Harvard Griffin GSAS, Harvard Physics Program in Neuroscience at Harvard Medical School #AI #NeuroAI #ML

Alexander Huth (@alex_ander) 's Twitter Profile Photo

New paper with Jianing Mu & Preston Lab! We propose a simple model for human memory of narratives: we uniformly sample incoming information at a constant rate. This explains behavioral data much better than variable-rate sampling triggered by event segmentation or surprisal.

Rodrigo Braga (@rodbraga) 's Twitter Profile Photo

🚨 New Preprint 🚨 Targeting intracranial electrical stimulation (ES) to network regions defined within individuals causes network-level effects By Cyr et al. Q: Can we use individualized network maps from precision fMRI to modulate a targeted network via ES? A: Yes! 🧵:

🚨 New Preprint 🚨

Targeting intracranial electrical stimulation (ES) to network regions defined within individuals causes network-level effects

By Cyr et al.

Q: Can we use individualized network maps from precision fMRI to modulate a targeted network via ES?

A: Yes!
 
🧵:
Alexander Huth (@alex_ander) 's Twitter Profile Photo

New paper with Richard Antonello, Chandan Singh, Suna Guo, Gavin Mischler, Jianfeng Gao, & Nima Mesgarani: We use LLMs to generate VERY interpretable embeddings where each dimension corresponds to a scientific theory, & then use these embeddings to predict fMRI and ECoG. It WORKS!

Sam Norman-Haignere (@samnormanh) 's Twitter Profile Photo

Human auditory cortex integrates information in speech across absolute time (e.g., 200 ms), not phonemes, syllables, words, or any other time-varying speech structure: nature.com/articles/s4159…

Human auditory cortex integrates information in speech across absolute time (e.g., 200 ms), not phonemes, syllables, words, or any other time-varying speech structure: nature.com/articles/s4159…