Dynamic refinement of behavioral structure mediates dopamine-dependent credit assignment

Kavli Affiliate: Costa, Rui | Authors: Jonathan C.Y. Tang, Vitor Paixao, Filipe Carvalho, Artur Silva, Andreas Klaus, Joaquim Alves da Silva and Rui M Costa | Summary: Abstract Animals exhibit a diverse behavioral repertoire when exploring new environments and can learn which actions or action sequences produce positive outcomes. Dopamine release upon encountering reward is […]


Continue.. Dynamic refinement of behavioral structure mediates dopamine-dependent credit assignment

Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

Kavli Affiliate: Jing Wang | First 5 Authors: Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu | Summary: For Head and Neck Cancers (HNC) patient management, automatic gross tumor volume (GTV) segmentation and accurate pre-treatment cancer recurrence prediction are of great importance to assist physicians in designing personalized management plans, which have the […]


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Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

Kavli Affiliate: Biao Huang | First 5 Authors: R. Bhushan Gopaluni, Aditya Tulsyan, Benoit Chachuat, Biao Huang, Jong Min Lee | Summary: Over the last ten years, we have seen a significant increase in industrial data, tremendous improvement in computational power, and major theoretical advances in machine learning. This opens up an opportunity to use […]


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Theory Techniques for Precision Physics — Snowmass 2021 TF06 Topical Group Report

Kavli Affiliate: Tom Melia | First 5 Authors: Radja Boughezal, Zoltan Ligeti, Wolfgang Altmannshofer, Supratim Das Bakshi, Fabrizio Caola | Summary: The wealth of experimental data collected at laboratory experiments suggests that there is some scale separation between the Standard Model (SM) and phenomena beyond the SM (BSM). New phenomena can manifest itself as small […]


Continue.. Theory Techniques for Precision Physics — Snowmass 2021 TF06 Topical Group Report

A primordial atmospheric origin of hydrospheric deuterium enrichment on Mars

Kavli Affiliate: Laura Schaefer | First 5 Authors: Kaveh Pahlevan, Laura Schaefer, Linda T. Elkins-Tanton, Steven J. Desch, Peter R. Buseck | Summary: The deuterium-to-hydrogen (D/H or 2H/1H) ratio of Martian atmospheric water (~6x standard mean ocean water, SMOW) is higher than that of known sources, requiring planetary enrichment. A recent measurement by NASA’s Mars […]


Continue.. A primordial atmospheric origin of hydrospheric deuterium enrichment on Mars

A primordial atmospheric origin of hydrospheric deuterium enrichment on Mars

Kavli Affiliate: Laura Schaefer | First 5 Authors: Kaveh Pahlevan, Laura Schaefer, Linda T. Elkins-Tanton, Steven J. Desch, Peter R. Buseck | Summary: The deuterium-to-hydrogen (D/H or 2H/1H) ratio of Martian atmospheric water (~6x standard mean ocean water, SMOW) is higher than that of known sources, requiring planetary enrichment. A recent measurement by NASA’s Mars […]


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Dynamics of photo-induced ferromagnetism in oxides with orbital degeneracy

Kavli Affiliate: Ankit Disa | First 5 Authors: Jonathan B. Curtis, Ankit Disa, Michael Fechner, Andrea Cavalleri, Prineha Narang | Summary: By using intense coherent electromagnetic radiation, it may be possible to manipulate the properties of quantum materials very quickly, or even induce new and potentially useful phases that are absent in equilibrium. For instance, […]


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Compressing the cosmological information in one-dimensional correlations of the Lyman-$α$ forest

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Christian Pedersen, Andreu Font-Ribera, Nickolay Y. Gnedin, , | Summary: Observations of the Lyman-$alpha$ (Ly$alpha$) forest from spectroscopic surveys such as BOSS/eBOSS, or the ongoing DESI, offer a unique window to study the growth of structure on megaparsec scales. Interpretation of these measurements is a complicated […]


Continue.. Compressing the cosmological information in one-dimensional correlations of the Lyman-$α$ forest