COMPLEX DATA CLUSTERING WITH SINGLE-LAYER DYNAMICALLY LINKED SPIKING NEURAL NETWORK
An improved method for constructing and training single-layered spiking neural networks is preposed. The method allows to apply single-layered spiking neural networks that encode each data dimension by one neuron of the input layer for the recognition of complex and overlapping clusters with procedu...
Saved in:
Main Author: | A.A. KRASNOSHCHEKOV |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Don State Technical University
2010-06-01
|
Series: | Advanced Engineering Research |
Subjects: | |
Online Access: | https://www.vestnik-donstu.ru/jour/article/view/981 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding
by: Maryam Mirsadeghi, et al.
Published: (2023-12-01) -
L-Sort: On-Chip Spike Sorting With Efficient Median-of-Median Detection and Localization-Based Clustering
by: Yuntao Han, et al.
Published: (2025-01-01) -
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) -
Neurons throughout the brain embed robust signatures of their anatomical location into spike trains
by: Gemechu Bekele Tolossa, et al.
Published: (2025-06-01)