Characterizing cell-type spatial relationships across length scales in spatially resolved omics data

Kavli Affiliate: Jean Fan | Authors: Rafael dos Santos Peixoto, Brendan F Miller, Maigan A Brusko, Gohta Aihara, Lyla Atta, Manjari Anant, Mark A Atkinson, Todd M Brusko, Clive H Wasserfall and Jean Fan | Summary: Spatially resolved omics (SRO) technologies enable the identification of cell types while preserving their organization within tissues. Application of […]


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Cholinergic feedback for context-specific modulation of sensory representations

Kavli Affiliate: Takaki Komiyama | Authors: Bin Yu, Yuxuan Yue, Chi Ren, Rui Yun, Byungkook Lim and Takaki Komiyama | Summary: The brain’s ability to prioritize behaviorally relevant sensory information is crucial for adaptive behavior, yet the underlying mechanisms remain unclear. Here, we investigated the role of basal forebrain cholinergic neurons in modulating olfactory bulb […]


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Brain state and cortical layer-specific mechanisms underlying perception at threshold

Kavli Affiliate: Anirvan Nandy, John Reynolds | Authors: Mitchell P Morton, Sachira Denagamage, Isabel J Blume, John H Reynolds, Monika P Jadi and Anirvan S Nandy | Summary: Identical stimuli can be perceived or go unnoticed across successive presentations, producing divergent behavioral outcomes despite similarities in sensory input. We sought to understand how fluctuations in […]


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Evaluating probabilistic and data-driven inference models for fiber-coupled NV-diamond temperature sensors

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Shraddha Rajpal, Zeeshan Ahmed, Tyrus Berry, , | Summary: We evaluate the impact of inference model on uncertainties when using continuous wave Optically Detected Magnetic Resonance (ODMR) measurements to infer temperature. Our approach leverages a probabilistic feedforward inference model designed to maximize the likelihood of observed ODMR […]


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OPUS: Occupancy Prediction Using a Sparse Set

Kavli Affiliate: Ke Wang | First 5 Authors: Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang | Summary: Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community. Mainstream occupancy prediction works first discretize the 3D environment into voxels, then perform classification […]


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OPUS: Occupancy Prediction Using a Sparse Set

Kavli Affiliate: Ke Wang | First 5 Authors: Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang | Summary: Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community. Mainstream occupancy prediction works first discretize the 3D environment into voxels, then perform classification […]


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A Two-zone Accretion Disk in the Changing-look Active Galactic Nucleus 1ES 1927+654: Physical Implications for Tidal Disruption Events and Super-Eddington Accretion

Kavli Affiliate: Luis C. Ho | First 5 Authors: Ruancun Li, Luis C. Ho, Claudio Ricci, Benny Trakhtenbrot, | Summary: The properties of slim accretion disks, while crucial for our understanding of black hole growth, have yet to be studied extensively observationally. We analyze the multi-epoch broad-band spectral energy distribution of the changing-look active galactic […]


Continue.. A Two-zone Accretion Disk in the Changing-look Active Galactic Nucleus 1ES 1927+654: Physical Implications for Tidal Disruption Events and Super-Eddington Accretion

The Interplay between the Disk and Corona of the Changing-look Active Galactic Nucleus 1ES 1927+654

Kavli Affiliate: Erin Kara | First 5 Authors: Ruancun Li, Claudio Ricci, Luis C. Ho, Benny Trakhtenbrot, Erin Kara | Summary: Time-domain studies of active galactic nuclei (AGNs) offer a powerful tool for understanding black hole accretion physics. Prior to the optical outburst on 23 December 2017, 1ES 1927+654 was classified as a "true" type~2 […]


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Autoregressive + Chain of Thought $simeq$ Recurrent: Recurrence’s Role in Language Models’ Computability and a Revisit of Recurrent Transformer

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, , | Summary: The Transformer architecture excels in a variety of language modeling tasks, outperforming traditional neural architectures such as RNN and LSTM. This is partially due to its elimination of recurrent connections, which allows for parallel training and […]


Continue.. Autoregressive + Chain of Thought $simeq$ Recurrent: Recurrence’s Role in Language Models’ Computability and a Revisit of Recurrent Transformer