SADP replaces exact spike-pair timing with population-level agreement metrics (e.g., Cohen's kappa) to learn in spiking neural networks, and is claimed to beat classical STDP on MNIST and Fashion-MNIST.
Phase Transition Between Flat Space Cosmology and Hot Flat Spacetimes in GMMG and EGMG Models
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abstract
Flat Space Cosmology (FSC) spacetimes are exact solutions of 3D gravity theories. In this work, we study phase transition between FSC spacetimes and Hot Flat Spacetimes (HFS) in general minimal massive gravity and exotic general massive gravity. We show that similar to topological massive gravity the tunneling occurs between two spacetimes by comparing their free energies. We also obtain the corrections to the Bekenstein-Hawking entropy, and its effect on the phase transition is studied.
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cs.NE 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
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Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
SADP replaces exact spike-pair timing with population-level agreement metrics (e.g., Cohen's kappa) to learn in spiking neural networks, and is claimed to beat classical STDP on MNIST and Fashion-MNIST.