Most existing neural models train network parameters including connecting weights and biases via optimizing a loss or energy function. Inspired from the associative learning in brain, we propose to associate different patterns via modeling joint distribution of them based on a hierarchical architecture. ...
associative learning Also found in:Thesaurus,Medical,Encyclopedia,Wikipedia. n. A learning process by which a certain stimulus comes to be associated with another stimulus or behavior, as through classical or operant conditioning. American Heritage® Dictionary of the English Language, Fifth Edition. ...
Strong learning-related patterns of neural activity are provided within cells in thehippocampusand they participate in the initial formation of new associative memories. There may be gradual recruitment of a network of hippocampal neurons during the formation of new associative memories. Other brain area...
摘要: In this paper, we propose a simple supervised associative learning approach for spiking neural networks. In an excitatory-inhibitory network paradigm with Izhikevich spiking neurons, synaptic...关键词: associative learning excitatory-inhibitory network izhikevich spiking neurons spiking neural network ...
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 ...
1)associative learning联想性学习 1.Learners\' dictionaries incorporate in them many associative pictorial illustrations to fulfill other functions as well,one of which being facilitatingassociative learning.学习词典配置了大量联想插图,不但有助于定义的理解,还可以发挥其它作用,其中之一就是便于联想性学习。
11.AN ASSOCIATION-LEARNING-MEMORY NEURAL NETWORK MODEL NEAR SATURATION STATE OF STORAGE近存储饱和状态下联想学习记忆的神经网络模型 12.The research will have an important significance for the design and application of the continuous associate memory CNN.该研究对连续型联想细胞神经网络的设计和应用均有重要...
Autoassociative neural networks are feedforward nets trained to produce an approximation of the identity mapping between network inputs and outputs using backpropagation or similar learning procedures. The key feature of an autoassociative network is a dimensional bottleneck between input and output. Comp...
Share on Facebook associative cortex Related to associative cortex:association area,sensory association area n (Anatomy)anatomythe part of the cortex that does not have direct connections to the senses or motor system and is thought to be involved in higher mental processes ...
There are numerous other approaches to solve these problems with the help of statistical methods from machine learning, which offer good results (Devlin et al., 2019; Radford et al., 2018; Sap et al., 2019). As already mentioned in the introduction, the problem with these statistical ...