The fetch-decode-execute cycle is followed by a processor to process an instruction. The cycle consists of several stages. Depending on the type of instruction, additional steps may be taken: If the ...
Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...
Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Abstract: Spiking neural networks (SNNs), known for their low-power, event-driven computation, and intrinsic temporal dynamics, are emerging as promising solutions for processing dynamic, asynchronous ...
The esp-idf-panic-decoder is a Python-based, open-source package that is part of the ESP-IDF SDK for Espressif products. The main part is a script that parses ESP-IDF panic handler output (registers & ...