| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1153893 | Statistics & Probability Letters | 2007 | 10 Pages | 
Abstract
												We define a Potts version of neural networks with q states. We give upper and lower bounds for the storage capacity of this model of associative memory in the sense of exact retrieval of the stored information. The critical capacity is of the order cN/logN where N is the number of neurons and the constant c increases quadratically with q.
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Statistics and Probability
												
											Authors
												Matthias Löwe, Franck Vermet, 
											