Leveraging unlabelled data for generalizable neural population decoding
Robust and accurate neural decoders are integral to neurotechnologies such as brain-computer interfaces and closed-loop experiments. Recent work has shown that tokenizing neural data at the spike level facilitates multi-session pretraining
https://arxiv.org/abs/2607.14086v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market → stable
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Correct facts used on the next screening or memo.
People
X
Ximeng Mao
1.0
low confidence
N
Nanda H. Krishna
1.0
low confidence
A
Avery Hee-Woon Ryoo
1.0
low confidence
M
Matthew G. Perich
1.0
low confidence
G
Guillaume Lajoie
1.0
low confidence
Activity & evidence
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