Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

NPL
2000

favoriteEmaildiscussreport

88views more NPL 2000»

Learning Synaptic Clusters for Nonlinear Dendritic Processing

13 years 4 months ago

Learning Synaptic Clusters for Nonlinear Dendritic Processing

Download www.corinet.org

Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a model of an initially standard linear node which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.

Michael W. Spratling, Gillian Hayes

Real-time Traffic

Artificial Neural Networks | Nonlinear Dendritic Processing | NPL 2000 | Standard Linear Node |

claim paper

Related Content

» Dynamic regulation of spiketiming dependent plasticity in electrosensory processing

» Temporal sequence detection with spiking neurons towards recognizing robot language instru...

» Multimodular Associative Memory

» Two Sites of Synaptic Integration Relevant for Learning

» Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression

» A developmental model of neural computation using cartesian genetic programming

» Large margin nonlinear embedding

» Learning associations of conjuncted fuzzy sets for data prediction

» Nonlinear mapping for exploratory data analysis in functional genomics

Post Info
More Details (n/a)

Added	19 Dec 2010
Updated	19 Dec 2010
Type	Journal
Year	2000
Where	NPL
Authors	Michael W. Spratling, Gillian Hayes

Comments (0)