Neuromorphic systems take inspiration from the principles of biological information
processing to form hardware platforms that enable the large-scale implementation of neural …

Introduction Multi-channel electrophysiology systems for recording of neuronal activity face
significant data throughput limitations, hampering real-time, data-informed experiments …

Modern brain-computer interfaces and neural implants allow interaction between the tissue,
the user and the environment, where people suffer from neurodegenerative diseases or …

Implantable brain machine interfaces for treatment of neurological disorders require on-chip,
real-time signal processing of action potentials (spikes). In this work, we present the first …

This article presents an efficient design and implementation of a real-time spike sorting
system using unsupervised clustering. We utilize the online sorting (OSort) algorithm and …

This paper presents a spike sorting processor based on an accurate spike clustering
algorithm. The proposed spike sorting algorithm employs an L2-normalized convolutional …

As neural-recording devices get denser and generate more data due to ever higher channel
counts, on-chip and online neural signal processor (NSP) becomes crucial to reduce the …