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memoryElection
none2A neural model for the recovery of learnt patterns is presented. The model simulates the theta-gamma activity associated to memory recall. Two versions of the model are described: the first can learn generic patterns without a given order, while the second learns patterns in a specific sequence. The latter has been implemented to overcome the limited recovery capacity of the former. The network is trained using Hebbian and anti-Hebbian paradigms, and exploits excitatory and inhibitory mutual synapses. The results show that the model which learns sequences can recover much more patterns within a single theta cycle.noneFilippo Cona; Mauro UrsinoFilippo Cona; Mauro Ursin
Sequence learning, prediction and replay have been proposed to constitute the universal computations...
Abstract—We consider the problem of neural association for a network of non-binary neurons. Here, th...
This paper describes an unsupervised neural network model for learning and recall of temporal patter...
none2A neural model for the recovery of learnt patterns is presented. The model simulates the theta-...
A neural model for the recovery of learnt patterns is presented. The model simulates the theta-gamma...
A neural mass model for the memorization of sequences is presented. It exploits three layers of cort...
Recent experimental evidence suggests that oscillatory activity plays a pivotal role in the maintena...
In neural networks, when new patters are learned by a network, they radically interfere with previou...
Synchronization of neural activity in the gamma band, modulated by a slower theta rhythm, is assumed...
Abstract—In neural networks, when new patters are learned by a network, they radically interfere wit...
29 pagesInternational audienceWhile humans forget gradually, highly distributed connectionist networ...
For a number of years, artificial neural networks have been used for a variety of applications to au...
International audienceAbstraet-A neural network model for fast learning and storage of temporal sequ...
Recent results on hippocampal place cells show that the replay of behavioral sequences does not simp...
Sequence learning, prediction and replay have been proposed to constitute the universal computations...
Sequence learning, prediction and replay have been proposed to constitute the universal computations...
Abstract—We consider the problem of neural association for a network of non-binary neurons. Here, th...
This paper describes an unsupervised neural network model for learning and recall of temporal patter...
none2A neural model for the recovery of learnt patterns is presented. The model simulates the theta-...
A neural model for the recovery of learnt patterns is presented. The model simulates the theta-gamma...
A neural mass model for the memorization of sequences is presented. It exploits three layers of cort...
Recent experimental evidence suggests that oscillatory activity plays a pivotal role in the maintena...
In neural networks, when new patters are learned by a network, they radically interfere with previou...
Synchronization of neural activity in the gamma band, modulated by a slower theta rhythm, is assumed...
Abstract—In neural networks, when new patters are learned by a network, they radically interfere wit...
29 pagesInternational audienceWhile humans forget gradually, highly distributed connectionist networ...
For a number of years, artificial neural networks have been used for a variety of applications to au...
International audienceAbstraet-A neural network model for fast learning and storage of temporal sequ...
Recent results on hippocampal place cells show that the replay of behavioral sequences does not simp...
Sequence learning, prediction and replay have been proposed to constitute the universal computations...
Sequence learning, prediction and replay have been proposed to constitute the universal computations...
Abstract—We consider the problem of neural association for a network of non-binary neurons. Here, th...
This paper describes an unsupervised neural network model for learning and recall of temporal patter...
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