An Adaptive Event-based Data Converter for Always-on Biomedical Applications at the Edge

no code implementations • 23 Nov 2022 • Mohammadali Sharifshazileh, Giacomo Indiveri

The novel aspect of this work is the adaptive thresholding feature of the ADM, which allows the circuit to modulate and minimize the rate of events produced with the amplitude and noise characteristics of the signal.

Anomaly Detection

A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG

1 code implementation • 17 Nov 2020 • Karla Burelo, Mohammadali Sharifshazileh, Niklaus Krayenbühl, Georgia Ramantani, Giacomo Indiveri, Johannes Sarnthein

In intraoperative ECoG recordings, high frequency oscillations (HFOs) generated by epileptogenic tissue can be used to tailor the resection margin.

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

2 code implementations • 23 Sep 2020 • Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri

By providing "neuromorphic intelligence" to neural recording circuits the approach proposed will pave the way for the development of systems that can detect HFO areas directly in the operation room and improve the seizure outcome of epilepsy surgery.

EEG Specificity