Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey

T Zhang, MR Azghadi, C Lammie… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Spike sorting is a set of techniques used to analyze extracellular neural
recordings, attributing individual spikes to individual neurons. This field has gained …

Neural signal recording and processing in somatic neuroprosthetic applications. A review

S Raspopovic, A Cimolato, A Panarese… - Journal of neuroscience …, 2020 - Elsevier
Neurointerfaces have acquired major relevance as both rehabilitative and therapeutic tools
for patients with spinal cord injury, limb amputations and other neural disorders …

Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices

CR Caro-Martín, JM Delgado-García, A Gruart… - Scientific reports, 2018 - nature.com
Spike sorting is one of the most important data analysis problems in neurophysiology. The
precision in all steps of the spike-sorting procedure critically affects the accuracy of all …

An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions

R Toosi, MA Akhaee, MRA Dehaqani - Scientific reports, 2021 - nature.com
Developing high-density electrodes for recording large ensembles of neurons provides a
unique opportunity for understanding the mechanism of the neuronal circuits. Nevertheless …

Feature extraction using first and second derivative extrema (FSDE) for real-time and hardware-efficient spike sorting

SE Paraskevopoulou, DY Barsakcioglu… - Journal of neuroscience …, 2013 - Elsevier
Next generation neural interfaces aspire to achieve real-time multi-channel systems by
integrating spike sorting on chip to overcome limitations in communication channel capacity …

A hardware-efficient scalable spike sorting neural signal processor module for implantable high-channel-count brain machine interfaces

Y Yang, S Boling, AJ Mason - IEEE transactions on biomedical …, 2017 - ieeexplore.ieee.org
Next-generation brain machine interfaces demand a high-channel-count neural recording
system to wirelessly monitor activities of thousands of neurons. A hardware efficient neural …

Compact standalone platform for neural recording with real-time spike sorting and data logging

S Luan, I Williams, M Maslik, Y Liu… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Longitudinal observation of single unit neural activity from large numbers of
cortical neurons in awake and mobile animals is often a vital step in studying neural network …

Minimum requirements for accurate and efficient real-time on-chip spike sorting

J Navajas, DY Barsakcioglu, A Eftekhar… - Journal of neuroscience …, 2014 - Elsevier
Background Extracellular recordings are performed by inserting electrodes in the brain,
relaying the signals to external power-demanding devices, where spikes are detected and …

An Area-Efficient 128-Channel Spike Sorting Processor for Real-Time Neural Recording With W/Channel in 65-nm CMOS

AT Do, SMA Zeinolabedin, D Jeon… - … Transactions on Very …, 2018 - ieeexplore.ieee.org
This paper presents a power-and area-efficient spike sorting processor (SSP) for real-time
neural recordings. The proposed SSP includes novel detection, feature extraction, and …

A 128-channel FPGA-based real-time spike-sorting bidirectional closed-loop neural interface system

J Park, G Kim, SD Jung - IEEE Transactions on Neural Systems …, 2017 - ieeexplore.ieee.org
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 …