Understanding whether cognitive and perceptual states can be decoded from brain activity alone is a fundamental question in cognitive neuroscience. It is not only relevant for scientific theories of ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

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: Recently, neural networks have improved MinSum message-passing decoders for low-density parity-check (LDPC) codes by multiplying or adding weights to the messages, where the weights are ...

Abstract: This paper presents a soft decoding scheme based on the binary representations transferred from the parity-check matrices (PCMs) for Reed-Solomon (RS) codes. Referring to the modified binary ...

This spin-off project uses RAW CVBS captures and uses the signal processing and time base correction code, from vhs-decode & ld-decode there is no de-modulation stage unlike FM based media. Full 4fsc ...