Social Learning of a Spatial Task by Observation Alone

Kavli Affiliate: Clifford Kentros | Authors: Thomas Doublet, Mona Nosrati and Clifford G. Kentros | Summary: Interactions between conspecifics are central to the acquisition of useful memories in the real world. Observational learning, i.e., learning a task by observing the success or failure of others, has been reported in many species, including rodents. However, previous […]


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The Neurodata Without Borders ecosystem for neurophysiological data science

Kavli Affiliate: Kristofer Bouchard, Loren Frank | Authors: Oliver Rübel, Andrew Tritt, Ryan Ly, Benjamin K. Dichter, Satrajit Ghosh, Lawrence Niu, Ivan Soltesz, Karel Svoboda, Loren Frank and Kristofer E. Bouchard | Summary: The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding […]


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Sensory readout accounts for adaptation

Kavli Affiliate: John Serences | Authors: Timothy C. Sheehan and John T. Serences | Summary: Sensory responses and behavior are strongly shaped by stimulus history. For instance, perceptual reports are sometimes biased towards previously viewed stimuli (serial dependence). While behavioral studies have pointed to both perceptual and post-perceptual origins of this phenomenon, neural data that […]


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Pangenomics provides insights into the role of synanthropy in barn swallow evolution

Kavli Affiliate: Erich Jarvis | Authors: Simona Secomandi, Guido Roberto Gallo, Marcella Sozzoni, Alessio Iannucci, Elena Galati, Linelle Abueg, Jennifer Balacco, Manuela Caprioli, William Chow, Claudio Ciofi, Joanna Collins, Olivier Fedrigo, Luca Ferretti, Arkarachai Fungtammasan, Bettina Haase, Kerstin Howe, Woori Kwak, Gianluca Lombardo, Patrick Masterson, Graziella Messina, Anders Pape Møller, Jacquelyn Mountcastle, Timothy A. Mousseau, […]


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Capacitive temperature sensing via displacement amplification

Kavli Affiliate: Chiara Daraio | First 5 Authors: Semih Taniker, Vincenzo Costanza, Paolo Celli, Chiara Daraio, | Summary: We propose the realization of capacitive temperature sensors based on the concept of displacement amplification. Our design features two high coefficient of thermal expansion (CTE) metallic layers separated by a low-CTE dielectric layer; conductive and dielectric layers […]


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An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai | Summary: Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change is facial expression, which has been studied extensively over the past few […]


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Current-enabled optical conductivity of superconductors

Kavli Affiliate: Joel E. Moore | First 5 Authors: Michał Papaj, Joel E. Moore, , , | Summary: In most superconductors, optical excitations require impurity scattering or the presence of multiple bands. This is because in clean single-band superconductors, the combination of particle-hole and inversion symmetries prevents momentum-conserving transitions. In this work we show how […]


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A quantum-inspired tensor network method for constrained combinatorial optimization problems

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum-inspired tensor-network-based algorithm for general locally […]


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A quantum-inspired tensor network method for constrained combinatorial optimization problems

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum inspired algorithm for general locally […]


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