Search Results for author:
Found 4 papers, 0 papers with code
An Encoding Framework for Binarized Images using HyperDimensional Computing
A key aspect that determines the performance of HDC is the encoding of the input data to the hyperdimensional (HD) space.
Co-learning synaptic delays, weights and adaptation in spiking neural networks
Spiking neural networks (SNN) distinguish themselves from artificial neural networks (ANN) because of their inherent temporal processing and spike-based computations, enabling a power-efficient implementation in neuromorphic hardware.
Training a HyperDimensional Computing Classifier using a Threshold on its Confidence
Hyperdimensional computing (HDC) has become popular for light-weight and energy-efficient machine learning, suitable for wearable Internet-of-Things (IoT) devices and near-sensor or on-device processing.
Neurosciences and 6G: Lessons from and Needs of Communicative Brains
In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to 6G in terms of new applications and systems architecture (Neurosciences for Wireless), and the other focused on how wireless communication theory and 6G systems can provide new ways to study the brain (Wireless for Neurosciences).
Signal Processing Emerging Technologies Information Theory Information Theory Neurons and Cognition
