This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

The analyzer mode of NeuroSpector simply evaluates the energy and cycle costs of an accelerator using a scheduling scheme provided in the --scheduling_table option of the run command. A combinatorial ...

This repository is the open source code for my latest work: "Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks", submitted to arXiv. Fig. 1. Current works in this field ...

Neural networks have been increasingly used in edge devices. However, because of limited calculating and memory in an embedded environment such as microcontrollers and digital signal processors, how ...

Recent years, spike-based neuron computing on scalable and event-based neuromorphic hardware has demonstrated impressive energy efficiency. In this paper, we propose a novel spiking scheme for 1-bit ...