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Spike sorting: The first step in decoding the brain: The first step in decoding the brain
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 …
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
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 …
obtain single-unit activity and 2) perform data reduction for wireless data transmission. Such …
A 130-W, 64-Channel Neural Spike-Sorting DSP Chip
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 …
Energy-efficient spike-sorting ASICs are necessary to allow real-time processing of multi …
Comparison of spike-sorting algorithms for future hardware implementation
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 …
obtain single-unit activity and (2) perform data reduction for wireless transmission of data …
An efficient hardware architecture for template matching-based spike sorting
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 spike sorting system using online template matching. Over the past decade, various spike …
A real-time spike sorting system using parallel OSort clustering
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 …
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
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 …
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 …
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 …
implantable interfaces for one or more nerves, each interface having many neural signal …
Real-time FPGA-based multichannel spike sorting using Hebbian eigenfilters
Real-time multichannel neuronal signal recording has spawned broad applications in neuro-
prostheses and neuro-rehabilitation. Detecting and discriminating neuronal spikes from …
prostheses and neuro-rehabilitation. Detecting and discriminating neuronal spikes from …