3 papers
cs.AI2026
Decomposing how prompting steers behavior
Fan L. Cheng, Nikolaus Kriegeskorte
Prompting steers large language models (LLMs) and vision-language models (VLMs) without weight updates, but it remains unclear how instruction changes reshape internal representati…
q-bio.NC2025
Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural Networks, 2024)
Ken Shirakawa, Yoshihiro Nagano, Misato Tanaka +2
A recent high-profile study by Koide-Majima et al. (2024) claimed a major advance in reconstructing visual imagery from brain activity using a novel variant of a generative AI-base…
q-bio.NC2024
Inter-individual and inter-site neural code conversion without shared stimuli
Haibao Wang, Jun Kai Ho, Fan L. Cheng +4
Inter-individual variability in fine-grained functional brain organization poses challenges for scalable data analysis and modeling. Functional alignment techniques can help mitiga…