scholarly journals The relativistic Hopfield model with correlated patterns

2020 ◽  
Vol 61 (12) ◽  
pp. 123301
Author(s):  
Elena Agliari ◽  
Alberto Fachechi ◽  
Chiara Marullo
Keyword(s):  
Hopfield Model ◽  
Correlated Patterns

Pair-correlated patterns in Hopfield model of neural networks

1991 ◽  
Vol 62 (1-2) ◽  
pp. 473-480 ◽  
Author(s):  
Francisco A. Tamarit ◽  
Evaldo M. F. Curado
Keyword(s):  
Neural Networks ◽  
Hopfield Model ◽  
Correlated Patterns

THE AUGMENTED MODELS OF ASSOCIATIVE MEMORY ASYMMETRIC INTERACTION AND HIERARCHY OF PATTERNS

1987 ◽  
Vol 01 (01) ◽  
pp. 51-68 ◽  
Author(s):  
M.V. FEIGELMAN ◽  
L.B. IOFFE
Keyword(s):  
Associative Memory ◽  
Storage Capacity ◽  
Hopfield Model ◽  
Memory Model ◽  
Hierarchical Memory ◽  
Correlated Patterns ◽  
The Asymmetry

The asymmetric modification of the Hopfield model of the associative memory is considered. It is shown that the asymmetry does not change the main properties of the model, but leads to the internal nonthermal noise. The modification of the Hopfield algorithm is proposed which can be used for storing the correlated patterns and its storage capacity is estimated. The hierarchical memory model is proposed and studied.

The Hopfield Model and Beyond.

1986 ◽  
Author(s):  
Charles M. Bachmann
Keyword(s):  
Hopfield Model

scholarly journals Can artificially selected phenotypes influence a component of field fitness? Thermal selection and fly performance under thermal extremes

2006 ◽  
Vol 274 (1611) ◽  
pp. 771-778 ◽  
Author(s):  
Torsten Nygaard Kristensen ◽  
Volker Loeschcke ◽  
Ary A Hoffmann
Keyword(s):  
High Performance ◽  
Quantitative Traits ◽  
Genetic Basis ◽  
Selected Lines ◽  
Resistant Lines ◽  
Correlated Patterns ◽  
Different Temperatures ◽  
Evolutionary Trajectories ◽  
Low Performance ◽  
Selected Traits

Artificially selected lines are widely used to investigate the genetic basis of quantitative traits and make inferences about evolutionary trajectories. Yet, the relevance of selected traits to field fitness is rarely tested. Here, we assess the relevance of thermal stress resistance artificially selected in the laboratory to one component of field fitness by investigating the likelihood of adult Drosophila melanogaster reaching food bait under different temperatures. Lines resistant to heat reached the bait more often than controls under hot and cold conditions, but less often at intermediate temperatures, suggesting a fitness cost of increased heat resistance but not at temperature extremes. Cold-resistant lines were more common at baits than controls under cold as well as hot field conditions, and there was no cost at intermediate temperatures. One of the replicate heat-resistant lines was caught less often than the others under hot conditions. Direct and correlated patterns of responses in laboratory tests did not fully predict the low performance of the heat selected lines at intermediate temperatures, nor the high performance of the cold selected lines under hot conditions. Therefore, lines selected artificially not only behaved partly as expected based on laboratory assays but also evolved patterns only evident in the field releases.

Saturation Level of the Hopfield Model for Neural Network

1986 ◽  
Vol 2 (4) ◽  
pp. 337-341 ◽  
Author(s):  
A Crisanti ◽  
D. J Amit ◽  
H Gutfreund
Keyword(s):  
Neural Network ◽  
Saturation Level ◽  
Hopfield Model

METASTABLE STATES IN THE HOPFIELD MODEL

1990 ◽  
Vol 04 (01) ◽  
pp. 143-150 ◽  
Author(s):  
CLAUDIO PROCESI ◽  
BRUNELLO TIROZZI
Keyword(s):  
Free Energy ◽  
Finite Number ◽  
Thermodynamic Limit ◽  
Metastable States ◽  
Hopfield Model ◽  
Zero Temperature

We describe the properties of the free energy of the Hopfield model with a finite number of patterns and describe its dynamic at zero temperature in the space of overlaps in the thermodynamic limit.

scholarly journals On-Line Learning with Time-Correlated Patterns

1994 ◽  
Vol 28 (6) ◽  
pp. 451-455 ◽  
Author(s):  
W Wiegerinck ◽  
T Heskes
Keyword(s):  
Correlated Patterns ◽  
On Line ◽  
On Line Learning

A Hopfield model with Hadamard prototypes

1990 ◽  
Vol 80 (3) ◽  
pp. 415-421 ◽  
Author(s):  
O. Krisement
Keyword(s):  
Hopfield Model
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