Paper Info
Title
Attractor Dynamics in an Electronic Neural Network
Abstract
LANN27 is an electronic device implementing in discrete electronics a 27 neurons, fully connected attractor neural network with stochastic learning. We summarize in this paper some key features emerged by extensive tests performed to elucidate the neuronal collective dynamics, the learning dynamics and the memory capacity of the LANN27 device.
Year
DOI
Venue
1997
10.1007/BFb0020325
ICANN
Keywords
Field
DocType
electronic neural network,attractor dynamics,neural network
Attractor,Microelectronics,Computer science,Learning dynamics,Electronics,Artificial intelligence,Artificial neural network
Conference
ISBN
Citations 
PageRank 
3-540-63631-5
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Paolo Del Giudice120824.76
Stefano Fusi266990.97