associative memoryneural networksHebbian learning rulesynapsenetwork activityasymmetric diluted networks/ C1230 Artificial intelligence C1290L Systems theory applications in biology and medicineWe consider the Hopfield model with the most simple form of the Hebbian learning rule, when only simultaneous ...
This paper describes in a unified mathematical framework a class of associative memory neural networks (AMN), that have very fast learning rates, local generalisation, parallel implementation, and guaranteed convergence to the mean squared error, making them appropriate for applications such as ...
Associative memory in networks of spiking neurons Here, we develop and investigate a computational model of a network of cortical neurons on the base of biophysically well constrained and tested two-compar... FT Sommer,T Wennekers - 《Neural Networks》 被引量: 122发表: 2001年 A Spiking Neuron...
必应词典为您提供Associative-memory的释义,un. 相联存储器;联合存储;内容定址存储器; 网络释义: 联想记忆;联想存储器;关联存储器;
neural networkAssociative memory has been one of the focal points in recent neural network research. In this paper, we propose a general model for binary associative memories based on a recurrent network structure. The proposed model is based on an evolution process that is similar to the ...
Improving Associative Memory in a Network of Spiking Neurons In this thesis we use computational neural network models to examine the dynamics and functionality of the CA3 region of the mammalian hippocampus. The emp... R Hunter,S Cobb,BP Graham - Artificial Neural Networks-icann, International Co...
Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield network. Different patterns can be stored into the...
”SinceJ.Hopfieldproposedtheautocorrelationassociativememoryandappliedtheanalogytothespinglassmodelin1982,theoreticalstudiesandsimulationsofneuralnetworkmodelsoftheassociativememoryrevivedanditwasmadeclearthatthememorycapacity,thebasinofattraction(thestability)ofeachmemorypatternandthespuriousmemoryaremainproblems.TheHop...
Mounting evidence shows that dopamine in the striatum is critically involved in reward-based reinforcement learning1,2. However, it remains unclear how dopamine reward signals influence the entorhinal–hippocampal circuit, another brain network that is crucial for learning and memory3,4,5. Here, using...
Reaction-diffusion chemistry implementation of associative mem- ory neural network, International Journal of Parallel, Emergent and Distributed Systems 2016, 1-21.Stovold J, O'Keefe S. Reaction-diffusion chemistry implementation of associative memory neural net- work. International Journal of Parallel, ...