The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the
brain. It is based upon placing conductive electrodes on the scalp which measure the small …

Devices such as keyboards and touchscreens allow humans to communicate with
machines. Neural interfaces, which can provide a direct, electrical bridge between analogue …

The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors
has brought on new opportunities for applying both Deep and Spiking Neural Network …

Closed-loop neural interfaces with on-chip machine learning can detect and suppress
disease symptoms in neurological disorders or restore lost functions in paralyzed patients …

A 64-channel 0.13-μm CMOS system on a chip (SoC) for neuroelectrical monitoring and
responsive neurostimulation is presented. The ΔΣ-based neural channel records signals …

Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous
seizures, which affects about one percent of the worlds population. Most of the current …

This work presents an 8-channel closed-loop neuromodulation chipset with 2-level seizure
classification. The power-consuming fine classifier is only enabled when the coarse …

Recent review papers have investigated seizure prediction, creating the possibility of
preempting epileptic seizures. Correct seizure prediction can significantly improve the …

This paper proposed the design of a low-noise, low total harmonic distortion (THD) chopper
amplifier for neural signal acquisition. A dc servo loop (DSL) based on active Gm-C …

The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …