Spike sorting: The first step in decoding the brain: The first step in decoding the brain

S Gibson, JW Judy, D Marković - IEEE Signal processing …, 2011 - ieeexplore.ieee.org
Extracellular recording, the technique of inserting an electrode into the extracellular tissue of
the brain to record the activity of individual neurons (“single-unit activity”), is a common …

Technology-aware algorithm design for neural spike detection, feature extraction, and dimensionality reduction

S Gibson, JW Judy, D Markovic - IEEE transactions on neural …, 2010 - ieeexplore.ieee.org
Applications such as brain-machine interfaces require hardware spike sorting in order to 1)
obtain single-unit activity and 2) perform data reduction for wireless data transmission. Such …

A 130-W, 64-Channel Neural Spike-Sorting DSP Chip

V Karkare, S Gibson, D Marković - IEEE journal of solid-state …, 2011 - ieeexplore.ieee.org
Spike sorting is an important processing step in various neuroscientific and clinical studies.
Energy-efficient spike-sorting ASICs are necessary to allow real-time processing of multi …

Comparison of spike-sorting algorithms for future hardware implementation

S Gibson, JW Judy, D Markovic - 2008 30th Annual …, 2008 - ieeexplore.ieee.org
Applications such as brain-machine interfaces require hardware spike sorting in order to (1)
obtain single-unit activity and (2) perform data reduction for wireless transmission of data …

An efficient hardware architecture for template matching-based spike sorting

D Valencia, A Alimohammad - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
This paper presents an efficient hardware architecture for the design and implementation of
a spike sorting system using online template matching. Over the past decade, various spike …

A real-time spike sorting system using parallel OSort clustering

D Valencia, A Alimohammad - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
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 …

Computationally efficient neural feature extraction for spike sorting in implantable high-density recording systems

AM Kamboh, AJ Mason - IEEE transactions on neural systems …, 2012 - ieeexplore.ieee.org
Modern microelectrode arrays acquire neural signals from hundreds of neurons in parallel
that are subsequently processed for spike sorting. It is important to identify, extract, and …

Frameworks for efficient brain-computer interfacing

D Valencia, J Thies… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
One challenge present in brain-computer interface (BCI) circuits is finding a balance
between real-time on-chip processing in-vivo and wireless transmission of neural signals for …

Feature extraction using extrema sampling of discrete derivatives for spike sorting in implantable upper-limb neural prostheses

M Zamani, A Demosthenous - IEEE Transactions on Neural …, 2014 - ieeexplore.ieee.org
Next generation neural interfaces for upper-limb (and other) prostheses aim to develop
implantable interfaces for one or more nerves, each interface having many neural signal …

Real-time FPGA-based multichannel spike sorting using Hebbian eigenfilters

B Yu, T Mak, X Li, F **a, A Yakovlev… - IEEE Journal on …, 2011 - ieeexplore.ieee.org
Real-time multichannel neuronal signal recording has spawned broad applications in neuro-
prostheses and neuro-rehabilitation. Detecting and discriminating neuronal spikes from …