1 citations · 1 across the 1 of their papers we have counts for
3 papers
Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing
Nikhil Garg, Anxiong Song, Niklas Plessnig +2
Electroencephalography (EEG)-based brain-computer interfaces (BCIs) are strongly affected by non-stationary neural signals that vary across sessions and individuals, limiting the g…
Analog Weight Update Rule in Ferroelectric Hafnia, using pico-Joule Programming Pulses
Alexandre Baigol, Nikhil Garg, Matteo Mazza +5
In an effort to compete with the brain's efficiency at processing information, neuromorphic hardware combines artificial synapses and neurons using mixed-signal circuits and emergi…
Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses
Nikhil Garg, Ismael Balafrej, Joao Henrique Quintino Palhares +11
The deployment of AI on edge computing devices faces significant challenges related to energy consumption and functionality. These devices could greatly benefit from brain-inspired…