This project was a self-directed challenge to understand the mathematical and computational foundations of neural networks. Using a framework like PyTorch makes it easy to build networks without truly ...

NEURON has been widely used as an empirically-based simulation tool, especially for multi-compartment conductance-based neuronal modeling. The network mediating feeding in Aplysia californica has been ...

Abstract: This letter presents a novel double-stage quantization technique, jointly optimized with two pruning strategies, for lightweight generalized feed-forward neural network (GFNN)-based digital ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Abstract: This paper proposes a feedforward compensation strategy based on Parallel GRU-Transformer neural network to address the issues of large tracking errors and insufficient stability of multi ...

Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing ...