8 papers · ranked by Valyu relevance
Minha Park, Shinwoo Kim, Seokhyun Moon, Hyeongwoo Kim + 2 more
Co-folding models accurately predict biomolecular complexes, but how their internal representations support joint structure prediction remains unclear. We analyze the Boltz-1 trunk by decomposing its pair representation into intra-chain and inter-chain blocks and applying ablation, layer-wise representation geometry…
Yi Ren, Zimei Chen, Hayden Deans, Ying Nian Wu + 1 more
Extensive studies suggest the brain performs Bayesian inference to infer the latent world states. It is a fundamental neuroscience question that how canonical recurrent neural circuits in the brain implement Bayesian inference. Many existing theoretical studies focused on how the recurrent circuits compute the…
Eun Joo Kim, Ji Hoon Jeong, June-Seek Choi, Jeansok J. Kim
A fundamental challenge for animals and humans is resolving competing survival demands under naturalistic threat, yet circuit-level mechanisms remain poorly understood. We developed a paradigm recapitulating a predator-prey encounter: Long-Evans rats emerged from a nest to forage in an open arena, choosing between…
ChenTianyi Yang, Andrew Thwaites, Cai Wingfield, Chao Zhang + 1 more
The brain builds meaning from speech in stages, transforming acoustic input into linguistic comprehension. Yet where comprehension separates from general acoustic processing has been difficult to localize, because the two are tightly entangled in continuous speech. Here we align the activity of 145,000 individual…
Hao Ding, Nannan Wu, Tianyi Qiu
DNA foundation models such as Evo2 7B adopt hybrid Hyena/attention architectures (Striped-Hyena2) whose single-stream autoregressive decoding is bounded by weight bandwidth at ∼45 tok/s. Speculative decoding on such hybrids faces a systems problem that prior SSM work solves only partially: after a draft is verified…
Jidong Liu, Jianxiong Xie, Qiaoyan Hao, Yutao Hu + 6 more
Reconfigurable optoelectronic image sensors capable of in-sensor computing are promising for energy-efficient edge visual perception. Self-powered photovoltaic operation further reduces the power demand of image sensing and processing. However, it remains challenging to achieve a continuously gate-tunable self-powered…
Yuesong Wu, Haohao Su, Yuehua Cui
Cell-cell communication (CCC) is essential for maintaining tissue organization and driving biological progression, yet its inference from transcriptomic data has long been limited by the absence of spatial context. Advances in spatial transcriptomics (ST) now enable mechanistically grounded analyses of CCC by…
Yiming Xue, Xiaojian Liu, Weimin Zhu, Shengfan Wang + 2 more
While protein-RNA interactions are fundamental to post-transcriptional processes, achieving a holistic understanding of their regulatory logic remains challenging. Current computational models often treat binding affinity, interface mapping, and RNA design as isolated tasks, thereby failing to provide a unified…