Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

This is a custom implementation of a logistic regression model in Python, created from scratch. The model uses gradient descent optimization to learn the optimal weights and bias for binary ...

From-Scratch Implementations: Building neural network layers and backpropagation logic manually. Transformer Mastery: Detailed breakdown and coding of the "Attention is All You Need" architecture.

Abstract: Algorithms for signal denoising that combine wavelet-domain sparsity and total variation (TV) regularization are relatively free of artifacts, such as pseudo-Gibbs oscillations, normally ...

Abstract: The ability to generate unseen combinations of known components, known as compositional generalization, is crucial in machine translation. Although neural machine translation performs well ...