Disorganized Inhibitory Dynamics and Functional Connectivity in Hippocampal area CA1 of 22q11.2 Deletion Mutant Mice

Posted by dbos Columbia

Kavli Affiliate: Attila Losonczy | Authors: Stephanie A Herrlinger, Bovey Rao, Margaret E Conde Paredes, Anna L Tuttman, Haroon Arain, Erdem Varol, Joseph A Gogos and Attila Losonczy | Summary: Individuals with the 22q11.2 deletion syndrome, one of the strongest genetic risk factors for schizophrenia, demonstrate cognitive impairments such as episodic memory dysfunction. Place cell […]


Continue.. Disorganized Inhibitory Dynamics and Functional Connectivity in Hippocampal area CA1 of 22q11.2 Deletion Mutant Mice

Transmon Qubit Constraints on Dark Matter-Nucleon Scattering

Posted by dbos Stanford

Kavli Affiliate: Noah Kurinsky | First 5 Authors: Anirban Das, Noah Kurinsky, Rebecca K. Leane, , | Summary: We recently pointed out that power measurements of single quasiparticle devices can be used to detect dark matter. These devices have the lowest known energy thresholds, far surpassing standard direct detection experiments, requiring energy deposition above only […]


Continue.. Transmon Qubit Constraints on Dark Matter-Nucleon Scattering

Transmon Qubit Constraints on Dark Matter-Nucleon Scattering

Posted by dbos Stanford

Kavli Affiliate: Noah Kurinsky | First 5 Authors: Anirban Das, Noah Kurinsky, Rebecca K. Leane, , | Summary: We recently pointed out that power measurements of single quasiparticle devices can be used to detect dark matter. These devices have the lowest known energy thresholds, far surpassing standard direct detection experiments, requiring energy deposition above only […]


Continue.. Transmon Qubit Constraints on Dark Matter-Nucleon Scattering

Transmon Qubit Constraints on Dark Matter-Nucleon Scattering

Posted by dbos Stanford

Kavli Affiliate: Noah Kurinsky | First 5 Authors: Anirban Das, Noah Kurinsky, Rebecca K. Leane, , | Summary: We recently pointed out that power measurements of single quasiparticle devices can be used to detect dark matter. These devices have the lowest known energy thresholds, far surpassing standard direct detection experiments, requiring energy deposition above only […]


Continue.. Transmon Qubit Constraints on Dark Matter-Nucleon Scattering

NICER Discovery that SRGA J144459.2-604207 is an Accreting Millisecond X-ray Pulsar

Posted by dbos MIT

Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Mason Ng, Paul S. Ray, Andrea Sanna, Tod E. Strohmayer, Alessandro Papitto | Summary: We present the discovery, with the Neutron Star Interior Composition Explorer (NICER), that SRGA J144459.2-604207 is a 447.9 Hz accreting millisecond X-ray pulsar (AMXP), which underwent a four-week long outburst starting on 2024 […]


Continue.. NICER Discovery that SRGA J144459.2-604207 is an Accreting Millisecond X-ray Pulsar

NICER Discovery of the Accreting Millisecond X-ray Pulsar SRGA J144459.2-604207

Posted by dbos MIT

Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Mason Ng, Paul S. Ray, Andrea Sanna, Tod E. Strohmayer, Alessandro Papitto | Summary: We present the discovery, with the Neutron Star Interior Composition Explorer (NICER), of the 447.9 Hz accreting millisecond X-ray pulsar (AMXP) SRGA J144459.2-604207, which underwent a four-week long outburst starting on 2024 February […]


Continue.. NICER Discovery of the Accreting Millisecond X-ray Pulsar SRGA J144459.2-604207

KAN: Kolmogorov-Arnold Networks

Posted by dbos MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson | Summary: Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable activation functions on edges ("weights"). […]


Continue.. KAN: Kolmogorov-Arnold Networks

KAN: Kolmogorov-Arnold Networks

Posted by dbos MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson | Summary: Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable activation functions on edges ("weights"). […]


Continue.. KAN: Kolmogorov-Arnold Networks

KAN: Kolmogorov-Arnold Networks

Posted by dbos MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson | Summary: Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable activation functions on edges ("weights"). […]


Continue.. KAN: Kolmogorov-Arnold Networks

KAN: Kolmogorov-Arnold Networks

Posted by dbos MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson | Summary: Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable activation functions on edges ("weights"). […]


Continue.. KAN: Kolmogorov-Arnold Networks