Minute-scale oscillatory sequences in medial entorhinal cortex

Kavli Affiliate: Edvard Moser, May Britt Moser, Ragnhild Leifsdottir, Horst Obenhaus | Authors: Soledad Gonzalo Cogno, Horst A. Obenhaus, Ragnhild Irene Jacobsen, Flavio Donato, May-Britt Moser and Edvard I. Moser | Summary: The medial entorhinal cortex (MEC) hosts many of the brain’s circuit elements for spatial navigation and episodic memory, operations that require neural activity […]


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A Spectrum of Time Horizons for Dopamine Signals

Kavli Affiliate: Joshua Berke | Authors: Wei Wei, Ali Mohebi and Joshua Berke | Summary: Dopamine input to striatum can encode reward prediction error, a critical signal for updating predictions of future rewards. However, it is unclear how this mechanism handles the need to make predictions, and provide feedback, over multiple time horizons: from seconds […]


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The swan genome and transcriptome: its not all black and white

Kavli Affiliate: Erich Jarvis | Authors: Anjana C. Karawita, Yuanyuan Cheng, Keng Yih Chew, Arjun Challgula, Robert Kraus, Ralf C. Mueller, Marcus Z. W. Tong, Katina D. Hulme, Helle Beielefeldt-Ohmann, Lauren E. Steele, Melanie Wu, Julian DJ Sng, Ellesandra Noye, Timothy J. Bruxner, Gough G. Au, Suzanne Lowthe, Julie Blommaert, Alexander Suh, Alexander J. McCauley, […]


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Repeated birth injuries lead to pelvic floor muscle dysfunction and impairment in regeneration

Kavli Affiliate: Karen Christman | Authors: Pamela Duran, Emma Zelus, Saya French, Lindsey Burnett, Karen Christman and Marianna Alperin | Summary: Objectives: Childbirth is a key risk factor for pelvic floor muscle (PFM) injury and dysfunction, and subsequent pelvic floor disorders (PFDs). Multiparity further exacerbates these risks. Using the pre-clinical rat model of simulated birth […]


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The NICER “Reverberation Machine”: A Systematic Study of Time Lags in Black Hole X-Ray Binaries

Kavli Affiliate: Erin Kara | First 5 Authors: Jingyi Wang, Erin Kara, Matteo Lucchini, Adam Ingram, Michiel van der Klis | Summary: We perform the first systematic search of all NICER archival observations of black hole (and candidate) low-mass X-ray binaries for signatures of reverberation. Reverberation lags result from the light travel time difference between […]


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Subnanometer Accuracy of Surface Characterization by Reflected-Light Differential Interference Microscopy

Kavli Affiliate: Xian Chen | First 5 Authors: Ka Hung Chan, Shengwang Du, Xian Chen, , | Summary: We theorize the surface step characterization by reflected incoherent-light differential interference microscopy with consideration of the optical diffraction effect. With the integration of localization analysis, we develop a quantitative differential interference optical system, by which we demonstrate […]


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High-Power Mid-IR Few-Cycle Frequency Comb from Quadratic Solitons in an Optical Parametric Oscillator

Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Kirk A. Ingold, Evgeni Sorokin | Summary: Powerful and efficient optical frequency combs in the mid-infrared (MIR) spectral region are highly desirable for a broad range of applications. Despite extensive efforts utilizing various techniques, MIR frequency comb sources are still […]


Continue.. High-Power Mid-IR Few-Cycle Frequency Comb from Quadratic Solitons in an Optical Parametric Oscillator

High-Power Mid-IR Few-Cycle Frequency Comb from Quadratic Solitons in an Optical Parametric Oscillator

Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Kirk A. Ingold, Evgeni Sorokin | Summary: Powerful and efficient optical frequency combs in the mid-infrared (MIR) spectral region are highly desirable for a broad range of applications. Despite extensive efforts utilizing various techniques, MIR frequency comb sources are still […]


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DDDM: a Brain-Inspired Framework for Robust Classification

Kavli Affiliate: Yi Zhou | First 5 Authors: Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang, | Summary: Despite their outstanding performance in a broad spectrum of real-world tasks, deep artificial neural networks are sensitive to input noises, particularly adversarial perturbations. On the contrary, human and animal brains are much less vulnerable. In contrast to […]


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SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities

Kavli Affiliate: Yi Zhou | First 5 Authors: Pengbo Hu, Xingyu Li, Yi Zhou, , | Summary: As deep learning advances, there is an ever-growing demand for models capable of synthesizing information from multi-modal resources to address the complex tasks raised from real-life applications. Recently, many large multi-modal datasets have been collected, on which researchers […]


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