| Title | Unsupervised clustering with spiking neurons by sparse temporal coding and multi-layer {RBF} networks |
| Publication Type | Book Chapter |
| Year of Publication | 2000 |
| Authors | Bohte SM, Poutre LJA, Kok JN |
| Book Title | 2435 |
| Pagination | 14 |
| Publisher | Centrum voor Wiskunde en Informatica (CWI) |
| City | ISSN 1386-369X |
| Keywords | coarse coding., complex clusters, Hebbian-learning, high-dimensional clustering, sparse coding, spiking neurons, synchronous firing, temporal coding, unsupervised learning |
| Abstract | We demonstrate that spiking neural networks encoding information in spike times are capable of computing and learning clusters from realistic data. We show how a spiking neural network based on spike-time coding and Hebbian learning can successfully perform unsupervised clustering on real-world data, and we demonstrate how temporal synchrony in a multi-layer network induces hierarchical clustering. We develop a temporal encoding of continuously valued data to obtain adjustable clustering capacity and precision with an efficient use of neurons: input variables are encoded in a population code by neurons with graded and overlapping sensitivity profiles. We also discuss methods for enhancing scale-sensitivity of the network and show how induced synchronization of neurons within early RBF layers allows for the subsequent detection of complex clusters. |
| URL | http://www.cwi.nl/ftp/CWIreports/SEN/SEN-R0036.ps.Z |