Beyond Parallel Tracking: Interactive Multi-Feature Fusion Drives Semantic Recon
Continuous semantic reconstruction from non-invasive neural recordings remains limited by the representational mismatch between semantic feature spaces and neural coding patterns, which severely impedes cross-modal alignment between high-no
https://arxiv.org/abs/2607.12071v1 ↗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 ↓ declining
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Correct facts used on the next screening or memo.
People
B
Boda Xiao
1.0
low confidence
X
Xiran Xu
1.0
low confidence
S
Songyi Li
1.0
low confidence
Y
Yujie Yan
1.0
low confidence
X
Xihong Wu
1.0
low confidence
H
Heping Cheng
1.0
low confidence
J
Jing Chen
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Deepgram
· Active
Building foundational AI for speech transcription and understanding.
founders not scraped yet