Mohammadali Sharifshazileh

TL;DR: In this article, the authors presented a neuromorphic system that combines a neural recording headstage with a spiking neural network (SNN) processing core on the same die for processing intracranial EEG (iEEG) from epilepsy patients for the detection of high frequency oscillations (HFO), which are a biomarker for epileptogenic brain tissue.

TL;DR: A neuromorphic system that combines for the first time a neural recording headstage with a signal-to-spike conversion circuit and a multi-core spiking neural network architecture on the same die for recording, processing, and detecting High Frequency Oscillations (HFO), which are biomarkers for the epileptogenic zone is presented.

TL;DR: A compact neuromorphic sensory-processing system-on-chip that can monitor the iEEG signals and detect high frequency oscillations in real-time using spiking neural networks and a neuromorphic processor core that implements a network of integrate and fire neurons with dynamic synapses.

TL;DR: In this paper, a spiking neural network (SNN) was used to detect high frequency oscillations (HFOs) generated by epileptogenic tissue in intra-operative electrocorticography (ECoG) recordings.

TL;DR: A spiking neural network (SNN) is presented for automatic HFO detection that is optimally suited for neuromorphic hardware implementation and endowed with a novel artifact rejection mechanism to suppress sharp transients and demonstrate its effectiveness on the ECoG dataset.