We first review traditional approaches to memory storage and formation, drawing on the literature of quantitative neuroscience as well as statistical physics. These have generally focused on the fast dynamics of neurons; however, there is now an increasing emphasis on the slow dynamics of synapses, whose weight changes are held to be responsible for memory storage. An important first step in this direction was taken in the context of Fusi’s cascade model, where complex synaptic architectures were invoked, in particular, to store long-term memories. No explicit synaptic dynamics were, however, invoked in that work. These were recently incorporated theoretically using the techniques used in agent-based modelling, and subsequently, models of c...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excita...
We present exact analytical equilibrium solutions for a class of recurrent neural network models, wi...
Highly emotional events tend to be well remembered. The adaptive value in this is clear – those even...
<div><p>A long-standing problem is how memories can be stored for very long times despite the volati...
The continuous turnover of synapses observed in cortical networks poses a severe problem for storing...
Memory is thought to be divided into two separate stores, one short term and one long term. The mech...
Memories are stored, retained, and recollected through complex, coupled processes operating on multi...
New experiences can be memorized by modifying the synaptic efficacies. Old memories are partially ov...
We present an exact equilibrium analysis of a class of associative memory models with spatial struct...
The molecular machinery underlying memory consoli-dation at the level of synaptic connections is bel...
Competitive dynamics are thought to occur in many processes of learning involving synaptic plasticit...
12 pages, 8 figures. Phys. Rev. E (2014) to appearInternational audienceWe investigate a mean-field ...
SummaryStoring memories of ongoing, everyday experiences requires a high degree of plasticity, but r...
Late long-term potentiation (L-LTP) denotes long-lasting strengthening of synapses between neurons. ...
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excita...
We present exact analytical equilibrium solutions for a class of recurrent neural network models, wi...
Highly emotional events tend to be well remembered. The adaptive value in this is clear – those even...
<div><p>A long-standing problem is how memories can be stored for very long times despite the volati...
The continuous turnover of synapses observed in cortical networks poses a severe problem for storing...
Memory is thought to be divided into two separate stores, one short term and one long term. The mech...
Memories are stored, retained, and recollected through complex, coupled processes operating on multi...
New experiences can be memorized by modifying the synaptic efficacies. Old memories are partially ov...
We present an exact equilibrium analysis of a class of associative memory models with spatial struct...
The molecular machinery underlying memory consoli-dation at the level of synaptic connections is bel...
Competitive dynamics are thought to occur in many processes of learning involving synaptic plasticit...
12 pages, 8 figures. Phys. Rev. E (2014) to appearInternational audienceWe investigate a mean-field ...
SummaryStoring memories of ongoing, everyday experiences requires a high degree of plasticity, but r...
Late long-term potentiation (L-LTP) denotes long-lasting strengthening of synapses between neurons. ...
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excita...
We present exact analytical equilibrium solutions for a class of recurrent neural network models, wi...
Highly emotional events tend to be well remembered. The adaptive value in this is clear – those even...