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A 75-µW, 16-Channel Neural Spike-Sorting Processor With Unsupervised Clustering
2013 Edition, Volume 48, September 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Energy-efficient spike-sorting DSPs are necessary to allow for the real-time processing of multi-channel, wireless, implantable neural recordings. Online, unsupervised clustering forms an integral part of on-chip spike sorting. However,...

A 75µW, 16-channel neural spike-sorting processor with unsupervised clustering
2011 Edition, June 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We describe a neural spike-sorting processor that provides unsupervised clustering simultaneously for 16 channels. The use of a two-stage clustering algorithm, noise-tolerant distance metric, and selectively clocked high-V...

A 75-µW 2.4 GHz Wake-up Receiver in 65-nm CMOS for Neonatal Healthcare Application
2019 Edition, January 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A 2.4 GHz low power, Internet-of-Things (IoT) based system for neonatal health-care application is presented. The system includes an ultra-low power receiver compatible with a wearable device with interface-connectivity to the sensors and a controller. A...

A 128-channel FPGA based Real-time Spike-sorting Bidirectional Closed-loop Neural Interface System
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A multichannel neural interface system is an important tool for various types of neuroscientific studies. For the electrical interface with a biological system, high-precision highspeed data recording and various types of stimulation capability are required. In addition,...

Spatial information based OSort for real-time spike sorting using FPGA
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Spiking activity of individual neurons can be separated from the acquired multi-unit activity with spike sorting methods. Processing the recorded high-dimensional neural data can take a large amount of time when performed on general-purpose computers...

A 128-Channel FPGA-Based Real-Time Spike-Sorting Bidirectional Closed-Loop Neural Interface System
2017 Edition, Volume 25, December 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A multichannel neural interface system is an important tool for various types of neuroscientific studies. For the electrical interface with a biological system, high-precision high-speed data recording and various types of stimulation capability are required. In...

Notice of Violation of IEEE Publication Principles: Low power 16-channel electronic neuronal brain interface design
2018 Edition, January 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Objective: The purpose of this study is to provide a connection between the neural behavior and external behavior of animals for potential brain machine interface (BMI) and other further applications. Methods: The present work proposes a 16-channel neural...

An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We propose an unsupervised compressed sensing (CS)-based framework to compress, recover, and cluster neural action potentials. This framework can be easily integrated into high-density multi-electrode neural recording VLSI systems. Embedding spectral clustering...

Parallel GPU-Accelerated Spike Sorting
2019 Edition, May 5, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A neural spike sorting system has been modeled and implemented using a massively-parallel graphics processing unit (GPU). The spike sorting software consists of three stages: spike detection, feature detection, and clustering...

Hardware architecture for on-chip unsupervised online neural spike sorting
2013 Edition, November 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Microelectrode arrays can acquire neural signals in parallel from multiple channels. Spike sorting has emerged as one of the most significant challenges in multichannel systems. An ideal spike sorting system must be implantable, unsupervised, online...

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