Closed-loop modulation of remote hippocampal representations with neurofeedback

Kavli Affiliate: Loren Frank | Authors: Michael E. Coulter, Anna K. Gillespie, Joshua P Chu, Eric L. Denovellis, Trevor T.K. Nguyen, Daniel Liu, Katherine Wadhwani, Biabhav Sharma, Kevin Wang, Xinyi Deng, Uri Eden, Caleb Kemere and Loren M. Frank | Summary: Humans can remember specific events without acting on them and can influence which memories […]


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Spin pumping into quantum spin chains

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Shunsuke C. Furuya, Mamoru Matsuo, Takeo Kato, , | Summary: We theoretically investigate spin pumping into a quantum easy-plane ferromagnetic spin chain system. This quantum spin chain is effectively described by the Tomonaga-Luttinger (TL) liquid despite the ferromagnetic exchange interaction because of the easy-plane magnetic anisotropy. This […]


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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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Data-driven fine-grained region discovery in the mouse brain with transformers

Kavli Affiliate: Reza Abbasi Asl | Authors: Alex Jihun Lee, Shenqin Yao, Nicholas Lusk, Hongkui Zeng, Bosiljka Tasic and Reza Abbasi-Asl | Summary: Technologies such as spatial transcriptomics offer unique opportunities to define the spatial organization of the mouse brain. We developed an unsupervised training scheme and novel transformer-based deep learning architecture to detect spatial […]


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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, 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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