Contains fulltext : 112674-1.pdf (publisher's version ) (Open Access) Contains fulltext : 112674-2.pdf (preprint version ) (Open Access)We have examined a role of dynamic synapses in the stochastic Hopfield-like network behavior. Our results demonstrate an appearance of a novel phase characterized by quick transitions from one memory state to another. The network is able to retrieve memorized patterns corresponding to classical ferromagnetic states but switches between memorized patterns with an intermittent type of behavior. This phenomenon might reflect the flexibility of real neural systems and their readiness to receive and respond to novel and changing external stim...
We study how short-time synaptic plasticity influences the performance of associative memory network...
Adaptation refers to the general phenomenon that the neural system dynamically adjusts its response ...
Memory is a fundamental part of computational systems like the human brain. Theoretical models ident...
We study a stochastic neural-network model in which neurons and synapses change with a priori probab...
We investigate the dynamical properties of an associative memory network consisting of stochastic ne...
Nature exhibits countless examples of adaptive networks, whose topology evolves constantly coupled w...
SummaryThe ability to associate some stimuli while differentiating between others is an essential ch...
We study the properties of the dynamical phase transition occurring in neural network models in whic...
We apply evolutionary computations to Hopfield's neural network model of associative memory. We repo...
We study the properties of the dynamical phase transition occurring in neural network models in whic...
The ability to associate some stimuli while differentiating between others is an essential character...
The Hopfield network (Hopfield, 1982,1984) provides a simple model of an associative memory in a neu...
Learning or memory formation are associated with the strengthening of the synaptic connections betwe...
In this paper, we study numerically the out-of-equilibrium dynamics of the Hopfield model for associ...
The characteristics of temporal association, which retrieves time sequences of stored patterns in ne...
We study how short-time synaptic plasticity influences the performance of associative memory network...
Adaptation refers to the general phenomenon that the neural system dynamically adjusts its response ...
Memory is a fundamental part of computational systems like the human brain. Theoretical models ident...
We study a stochastic neural-network model in which neurons and synapses change with a priori probab...
We investigate the dynamical properties of an associative memory network consisting of stochastic ne...
Nature exhibits countless examples of adaptive networks, whose topology evolves constantly coupled w...
SummaryThe ability to associate some stimuli while differentiating between others is an essential ch...
We study the properties of the dynamical phase transition occurring in neural network models in whic...
We apply evolutionary computations to Hopfield's neural network model of associative memory. We repo...
We study the properties of the dynamical phase transition occurring in neural network models in whic...
The ability to associate some stimuli while differentiating between others is an essential character...
The Hopfield network (Hopfield, 1982,1984) provides a simple model of an associative memory in a neu...
Learning or memory formation are associated with the strengthening of the synaptic connections betwe...
In this paper, we study numerically the out-of-equilibrium dynamics of the Hopfield model for associ...
The characteristics of temporal association, which retrieves time sequences of stored patterns in ne...
We study how short-time synaptic plasticity influences the performance of associative memory network...
Adaptation refers to the general phenomenon that the neural system dynamically adjusts its response ...
Memory is a fundamental part of computational systems like the human brain. Theoretical models ident...