Foraging Under Uncertainty Follows the Marginal Value Theorem with Bayesian Updating of Environment Representations

Kavli Affiliate: Daeyeol Lee | Authors: James Webb, Paul Steffan, Benjamin Y Hayden, Daeyeol Lee, Caleb Kemere and Matthew McGinley | Summary: Foraging theory has been a remarkably successful approach to understanding the behavior of animals in many contexts. In patch-based foraging contexts, the marginal value theorem (MVT) shows that the optimal strategy is to […]


Continue.. Foraging Under Uncertainty Follows the Marginal Value Theorem with Bayesian Updating of Environment Representations

A new approach for deducing rms proton radii from charge-changing reactions of neutron-rich nuclei and the reaction-target dependence

Kavli Affiliate: Feng Wang | First 5 Authors: J. -C. Zhang, B. -H. Sun, I. Tanihata, R. Kanungo, C. Scheidenberger | Summary: We report the charge-changing cross sections ($sigma_{text{cc}}$) of 24 $p$-shell nuclides on both hydrogen and carbon at about 900$A$ MeV, of which $^{8,9}$Li, $^{10textendash12}$Be, $^{10,14,15}$B, $^{14,15,17textendash22}$N and $^{16}$O on hydrogen and $^{8,9}$Li on […]


Continue.. A new approach for deducing rms proton radii from charge-changing reactions of neutron-rich nuclei and the reaction-target dependence

Learning enhances behaviorally relevant representations in apical dendrites

Kavli Affiliate: Elizabeth Hillman | Authors: Sam E. Benezra, Kripa B. Patel, Citlali PĂ©rez Campos, Elizabeth M. C. Hillman and Randy M Bruno | Summary: Learning alters cortical representations and improves perception. Apical tuft dendrites in Layer 1, which are unique in their connectivity and biophysical properties, may be a key site of learning-induced plasticity. […]


Continue.. Learning enhances behaviorally relevant representations in apical dendrites

HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification

Kavli Affiliate: Jing Wang | First 5 Authors: Judy X Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee Chung Liew | Summary: Classifying hyperspectral images is a difficult task in remote sensing, due to their complex high-dimensional data. To address this challenge, we propose HSIMamba, a novel framework that uses bidirectional reversed convolutional neural […]


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Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region

Kavli Affiliate: Xian Chen | First 5 Authors: Haijie Xu, Xiaochen Xian, Chen Zhang, Kaibo Liu, | Summary: Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of variables from the multivariate system can be observed at each sensing […]


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Contributions of mirror-image hair cell orientation to mouse otolith organ and zebrafish neuromast function

Kavli Affiliate: Kathleen Cullen | Authors: Kazuya Ono, Amandine Jarysta, Natasha Hughes, Alma Jukic, Vanessa H.H. Chang, Michael R Deans, Ruth Anne Eatock, Kathleen E Cullen, Katie S Kindt and Basile Tarchini | Summary: Otolith organs in the inner ear and neuromasts in the fish lateral-line harbor two populations of hair cells oriented to detect […]


Continue.. Contributions of mirror-image hair cell orientation to mouse otolith organ and zebrafish neuromast function

Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

Kavli Affiliate: Ke Wang | First 5 Authors: Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Class-incremental learning (CIL) aims to enable models to continuously learn new classes while overcoming catastrophic forgetting. The introduction of pre-trained models has brought new tuning paradigms to CIL. In this paper, we revisit different parameter-efficient […]


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Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning

Kavli Affiliate: Ke Wang | First 5 Authors: Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Open-source pre-trained Large Language Models (LLMs) exhibit strong language understanding and generation capabilities, making them highly successful in a variety of tasks. However, when used as agents for dealing with complex problems in the real […]


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Cosmic shadows of causation

Kavli Affiliate: Craig Hogan | Summary:Cosmic structure on the largest scales preserves the pattern laid down by quantum fluctuations of gravity in the early universe on scales comparable to inflationary horizons. It is proposed here that fluctuations create physical correlations only within finite regions enclosed by causal diamonds, like entanglement in other quantum systems. Conformal […]


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Bioenergetic mapping of ‘healthy microbiomes’ via compound processing potential imprinted in gut and soil metagenomes

Kavli Affiliate: Robert Edwards | Authors: Craig Liddicoat, Robert A Edwards, Michael J. Roach, Jake M Robinson, Kiri Joy Wallace, Andrew D Barnes, Joel Brame, Anna Heintz-Buschart, Timothy R Cavagnaro, Elizabeth A Dinsdale, Michael P Doane, Nico Eisenhauer, Grace Mitchell, Bibishan Rai, Sunita Ramesh and Martin F Breed | Summary: Microbiomes are critical to the […]


Continue.. Bioenergetic mapping of ‘healthy microbiomes’ via compound processing potential imprinted in gut and soil metagenomes