RealtimeDecoder: A fast software module for online clusterless decoding

Kavli Affiliate: Loren Frank | Authors: Joshua P Chu, Michael E Coulter, Eric L. Denovellis, Trevor TK Nguyen, Daniel F Liu, Xinyi Deng, Uri T Eden, Caleb T Kemere and Loren M Frank | Summary: Decoding algorithms provide a powerful tool for understanding the firing patterns that underlie cognitive processes such as motor control, learning, […]


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Cross-Platform Autonomous Control of Minimal Kitaev Chains

Kavli Affiliate: Michael Wimmer | First 5 Authors: David van Driel, Rouven Koch, Vincent P. M. Sietses, Sebastiaan L. D. ten Haaf, Chun-Xiao Liu | Summary: Contemporary quantum devices are reaching new limits in size and complexity, allowing for the experimental exploration of emergent quantum modes. However, this increased complexity introduces significant challenges in device […]


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Stochastic star formation and the abundance of $z>10$ UV-bright galaxies

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Andrey Kravtsov, Vasily Belokurov, , , | Summary: We use a well-motivated galaxy formation framework to predict stellar masses, star formation rates (SFR), and ultraviolet (UV) luminosities of galaxy populations at redshifts $zin 5-16$, taking into account stochasticity of SFR in a controlled manner. We demonstrate that […]


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Astrometric Redshifts of Supernovae

Kavli Affiliate: Richard Kessler | First 5 Authors: Jaemyoung Jason Lee, Masao Sako, Richard Kessler, Alex I. Malz, The LSST Dark Energy Science Collaboration | Summary: Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere’s refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending […]


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Astrometric Redshifts of Supernovae

Kavli Affiliate: Richard Kessler | First 5 Authors: Jaemyoung, Lee, Masao Sako, Richard Kessler, Alex I. Malz | Summary: Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere’s refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending on their spectral energy distributions (SEDs). While […]


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Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

Kavli Affiliate: Frank Wilczek | First 5 Authors: Frank Wilczek, Zara Yu, , , | Summary: Postulating the identification of $psi^*(x, t) psi(x,t)$ with a physical probability density is unsatisfactory conceptually and overly limited practically. For electrons, there is a simple, calculable relativistic correction proportional to $nabla psi^* cdot nabla psi$. In particular, zeroes of […]


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OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration

Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Ziming Liu, Max Tegmark, , | Summary: Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs’ coefficients to maximize […]


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Direct observation of the neural computations underlying a single decision

Kavli Affiliate: Michael Shadlen | Authors: Natalie A Steinemann, Gabriel M Stine, Eric M Trautmann, Ariel Zylberberg, Daniel M Wolpert and Michael N Shadlen | Summary: Neurobiological investigations of perceptual decision-making have furnished the first glimpse of a flexible cognitive process at the level of single neurons (Shadlen and Newsome, 1996; Shadlen and Kiani, 2013). […]


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DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu | Summary: Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vision-centric pre-training typically relies on either 2D or 3D pre-text tasks, overlooking […]


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