L-Sort: On-Chip Spike Sorting With Efficient Median-of-Median Detection and Localization-Based Clustering
Spike sorting is a critical process for decoding large-scale neural activity from extracellular recordings. The advancement of neural probes facilitates the recording of a high number of neurons with an increase in channel counts, arising a higher data volume and challenging the current on-chip spik...
Saved in:
Main Authors: | Yuntao Han, Yihan Pan, Xiongfei Jiang, Cristian Sestito, Shady Agwa, Themis Prodromakis, Shiwei Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Open Journal of Circuits and Systems |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11072521/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering
by: Mohammad Amin Lotfi, et al.
Published: (2025-07-01) -
A Dynamic Spike Sorter for Multiscale Nanoelectrode Array Recordings
by: Shivani Shukla, et al.
Published: (2025-07-01) -
Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System
by: Daeyoung Kim, et al.
Published: (2025-01-01) -
A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity
by: Ria Talukder, et al.
Published: (2025-01-01) -
COMPLEX DATA CLUSTERING WITH SINGLE-LAYER DYNAMICALLY LINKED SPIKING NEURAL NETWORK
by: A.A. KRASNOSHCHEKOV
Published: (2010-06-01)