SummaryStoring memories of ongoing, everyday experiences requires a high degree of plasticity, but retaining these memories demands protection against changes induced by further activity and experience. Models in which memories are stored through switch-like transitions in synaptic efficacy are good at storing but bad at retaining memories if these transitions are likely, and they are poor at storage but good at retention if they are unlikely. We construct and study a model in which each synapse has a cascade of states with different levels of plasticity, connected by metaplastic transitions. This cascade model combines high levels of memory storage with long retention times and significantly outperforms alternative models. As a result, we ...
Changing the strength of connections between neurons is widely assumed to be the mechanism by which ...
Animals exhibit a remarkable ability to learn and remember new behaviors, skills, and associations t...
editorial reviewedNeurons adapt their connections with each other through synaptic plasticity, drive...
New experiences can be memorized by modifying the synaptic efficacies. Old memories are partially ov...
The question of how neural systems encode memories in one-shot without immediately disrupting previo...
Memories are stored, retained, and recollected through complex, coupled processes operating on multi...
Long-term memories are likely stored in the synaptic weights of neuronal networks in the brain. The ...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excit...
Abstract Changing the strength of connections between neurons is widely assumed to be the mechanism ...
To date, most hypotheses of memory storage in the mammalian brain have focused upon long-term synapt...
How humans are able to learn and memorize is a long-standing question in science. Much progress has ...
<p><b>A.</b> Memories are stored in the recurrent collaterals of a neural network. Five example syna...
<div><p>A long-standing problem is how memories can be stored for very long times despite the volati...
<p><b>A</b>, State/transition model of a single potential synapse (see text for details). <b>B</b>, ...
The synaptic-tagging-and-capture (STC) hypothesis formulates that at each synapse the concurrence of...
Changing the strength of connections between neurons is widely assumed to be the mechanism by which ...
Animals exhibit a remarkable ability to learn and remember new behaviors, skills, and associations t...
editorial reviewedNeurons adapt their connections with each other through synaptic plasticity, drive...
New experiences can be memorized by modifying the synaptic efficacies. Old memories are partially ov...
The question of how neural systems encode memories in one-shot without immediately disrupting previo...
Memories are stored, retained, and recollected through complex, coupled processes operating on multi...
Long-term memories are likely stored in the synaptic weights of neuronal networks in the brain. The ...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excit...
Abstract Changing the strength of connections between neurons is widely assumed to be the mechanism ...
To date, most hypotheses of memory storage in the mammalian brain have focused upon long-term synapt...
How humans are able to learn and memorize is a long-standing question in science. Much progress has ...
<p><b>A.</b> Memories are stored in the recurrent collaterals of a neural network. Five example syna...
<div><p>A long-standing problem is how memories can be stored for very long times despite the volati...
<p><b>A</b>, State/transition model of a single potential synapse (see text for details). <b>B</b>, ...
The synaptic-tagging-and-capture (STC) hypothesis formulates that at each synapse the concurrence of...
Changing the strength of connections between neurons is widely assumed to be the mechanism by which ...
Animals exhibit a remarkable ability to learn and remember new behaviors, skills, and associations t...
editorial reviewedNeurons adapt their connections with each other through synaptic plasticity, drive...