MIXTURE STATES AND STORAGE WITH CORRELATED PATTERNS IN HOPFIELD'S MODEL

1991 ◽  
Vol 01 (04) ◽  
pp. 347-353 ◽  
Author(s):  
Rubem Erichsen ◽  
W. K. Theumann
Keyword(s):  
Finite Number ◽  
Numerical Simulations ◽  
Phase Diagrams ◽  
Associative Memory ◽  
Storage Capacity ◽  
Learning Rule ◽  
Basins Of Attraction ◽  
Correlated Patterns ◽  
And Storage ◽  
Hebb Learning

The Hopfield model of associative memory with the Hebb learning rule is studied for a finite number p of correlated patterns. The storage capacity α = P/N is considered in a network with further P − p embedded uncorrelated patterns, and the corresponding phase diagrams are exhibited. Numerical simulations are carried out to discuss the retrieval quality and the basins of attraction of the network.

scholarly journals Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Brendan P. Marsh ◽  
Yudan Guo ◽  
Ronen M. Kroeze ◽  
Sarang Gopalakrishnan ◽  
Surya Ganguli ◽  
...  
Keyword(s):  
Associative Memory ◽  
Cavity Qed ◽  
Storage Capacity ◽  
Memory Recall ◽  
Confocal Cavity ◽  
And Storage

NEURAL NETWORK WITH LOCAL SHORT MEMORY AND COMPLEX UPDATING

1992 ◽  
Vol 03 (04) ◽  
pp. 379-387
Author(s):  
RICCARDO ZECCHINA
Keyword(s):  
Spin Glasses ◽  
Storage Capacity ◽  
Signal To Noise Ratio ◽  
Learning Rule ◽  
Basins Of Attraction ◽  
Local Fields ◽  
Special Choice ◽  
Signal To Noise ◽  
Short Memory ◽  
Computational Properties

We study the influence of a simple nonuniform sequential dynamics on the behaviour of neural networks composed of two state neurons with exponentially decaying local fields. The deterministic process is determined by a single dynamical model of the neurons composing the system and the main characteristic is a special choice of the updating sequence in the dynamics of relaxation. Problems such as storage capacity, basins of attraction and optimization algorithms related to network dynamics have been investigated numerically. The results of simulations show that for the Hopfield learning rule, it is possible to enhance the storage capacity and that the set of low excited neurons is responsible for an increase of the signal to noise ratio in the system. The corresponding computational properties are also interesting: tested on the problem of finding ground states of spin glasses, the system shows an effective relaxation to low-lying energy states.

ASSOCIATIVE MEMORY USING SYNCHRONIZATION IN A CHAOTIC NEURAL NETWORK

2001 ◽  
Vol 12 (01) ◽  
pp. 19-29 ◽  
Author(s):  
Z. TAN ◽  
M. K. ALI
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Associative Memory ◽  
Storage Capacity ◽  
Initial Conditions ◽  
Neural Systems ◽  
Chaotic Neural Network ◽  
Relative Time ◽  
Chaotic Neural Networks ◽  
And Storage

Synchronization is introduced into a chaotic neural network model to discuss its associative memory. The relative time of synchronization of trajectories is used as a measure of pattern recognition by chaotic neural networks. The retrievability of memory is shown to be connected to synapses, initial conditions and storage capacity. The technique is simple and easy to apply to neural systems.

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.

scholarly journals Transparent CoAP Services to IoT Endpoints through ICN Operator Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1339 ◽  
Author(s):  
Hasan Islam ◽  
Dmitrij Lagutin ◽  
Antti Ylä-Jääski ◽  
Nikos Fotiou ◽  
Andrei Gurtov
Keyword(s):  
Storage Capacity ◽  
Communication Overhead ◽  
Full Potential ◽  
Core Network ◽  
Computation Complexity ◽  
State Management ◽  
Iot Devices ◽  
Novel Applications ◽  
And Storage ◽  
The Internet Of Things

The Constrained Application Protocol (CoAP) is a specialized web transfer protocol which is intended to be used for constrained networks and devices. CoAP and its extensions (e.g., CoAP observe and group communication) provide the potential for developing novel applications in the Internet-of-Things (IoT). However, a full-fledged CoAP-based application may require significant computing capability, power, and storage capacity in IoT devices. To address these challenges, we present the design, implementation, and experimentation with the CoAP handler which provides transparent CoAP services through the ICN core network. In addition, we demonstrate how the CoAP traffic over an ICN network can unleash the full potential of the CoAP, shifting both overhead and complexity from the (constrained) endpoints to the ICN network. The experiments prove that the CoAP Handler helps to decrease the required computation complexity, communication overhead, and state management of the CoAP server.

scholarly journals Transport and storage of serotonin by thrombin-treated platelets.

1975 ◽  
Vol 65 (2) ◽  
pp. 359-372 ◽  
Author(s):  
H J Reimers ◽  
D J Allen ◽  
I A Feuerstein ◽  
J F Mustard
Keyword(s):  
Storage Capacity ◽  
Platelet Membrane ◽  
Transport Rate ◽  
Primary Reason ◽  
High Concentration ◽  
Serotonin Content ◽  
Amine Storage ◽  
Storage Granules ◽  
And Storage ◽  
Amine Storage Granules

Repeated thrombin treatment of washed platelets prepared from rabbits can decrease the serotonin content of the platelets by about 80%. When these platelets are deaggregated they reaccumulate serotonin but their storage capacity for serotonin is reduced by about 60%. If thrombin-pretreated platelets are allowed to equilibrate with a high concentration of serotonin (123 mu M), they release a smaller percentage of their total serotonin upon further thrombin treatment, in comparison with the percentage of serotonin released from control platelets equilibrated with the same concentration of serotonin calculations indicate that in thrombin-treated platelets reequilibrated with serotonin, two-thirds of the serotonin is in the granule compartment and one-third is in the extragranular compartment, presumably the cytoplasm. Analysis of the exchange of serotonin between the suspending fluid and the platelets showed that thrombin treatment does not alter the transport rate of serotonin across the platelet membrane and does not cause increased diffusion of serotonin from the platelets into the suspending fluid. The primary reason for the reduced serotonin accumulation by the thrombin-treated platelets appears to be loss of amine storage granules or of the storage capacity within the granules.

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