The proposed RC method with generalized readout is based on generalized synchronization, offering enhanced accuracy and robustness while preserving the simplicity and efficiency of conventional RC.

Mathematical models have long provided a robust framework for understanding the intricate processes underlying visual perception and neural processing. By combining principles from differential ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model.  The market price of risk is taken to be λ=0. Automatic differentiation is ...

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Mahya Ghandehari, an associate professor in the University of Delaware’s Department of Mathematical Sciences, was recently awarded the NSF Combinatorics program grant titled “A graphon-based approach ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...