5 papers · ranked by Valyu relevance
Braden Charles DeMattei, Stephanie E. Hampton
Understanding species interactions is integral to understanding ecosystem function and predicting how disturbances may affect the services provided to society. Analysis of trophic interactions, however, requires a significant investment of time and resources. Using a simple predator-prey pairing of a semi-sessile…
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
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…
Maryam Majeed, Mara C.P. Rue, Aixin Zhang, Sabrina Cheng + 14 more
Parallel visual streams segregate information into pathways specialized for distinct computations, but how this segregation is achieved by anatomical segregation of primary visual cortex output remains unclear. This problem is complicated because individual neurons frequently send broadcasting projections to multiple…
Ana Lúcia Leitão, Francisco J Enguita
The evolution of molecular visualization software represents a pivotal yet often underappreciated dimension of computational structural biology and bioinformatics. As the scale and complexity of structural datasets increase, spanning from cryo-electron microscopy reconstructions to proteome-wide AI-predicted models…