The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability.
By setting the rate of synaptic depression, release probability is an important factor in determining the neural code, suggesting that the relative contribution of rate and temporal signals varies along a continuum.
Differential signaling via the same axon of neocortical pyramidal neurons.
Differential signaling is a key mechanism in neocortical information processing, which can be regulated by selective synaptic modifications, andeterogeneity of synaptic transfer functions allows multiple synaptic representations of the same presynaptic action potential train and suggests that these synaptic representations are regulated in a complex manner.
Neural Networks with Dynamic Synapses
A unified phenomenological model is proposed that allows computation of the postsynaptic current generated by both types of synapses when driven by an arbitrary pattern of action potential activity in a presynaptic population and allows for derivation of mean-field equations, which govern the activity of large, interconnected networks.
Spontaneously emerging cortical representations of visual attributes
It is suggested that dynamically switching cortical states could represent the brain's internal context, and therefore reflect or influence memory, perception and behaviour.
Synaptic Theory of Working Memory
It is proposed that working memory is sustained by calcium-mediated synaptic facilitation in the recurrent connections of neocortical networks by using the presynaptic residual calcium as a buffer that is loaded, refreshed, and read out by spiking activity.
Redistribution of synaptic efficacy between neocortical pyramidal neurons
It is shown that an increase in the synaptic response, induced by pairing action-potential activity in pre- and postsynaptic neurons, was only observed when synaptic input occurred at low frequencies, and arises because of a redistribution of the available synaptic efficacy.
Linking spontaneous activity of single cortical neurons and the underlying functional architecture.
The relation between the activity of a single neocortical neuron and the dynamics of the network in which it is embedded was explored by single-unit recordings and real-time optical imaging. The…
Paradoxical Effects of External Modulation of Inhibitory Interneurons
The neocortex, hippocampus, and several other brain regions contain populations of excitatory principal cells with recurrent connections and strong interactions with local inhibitory interneurons, and the dynamic behavior of this type of network is modeled, including external inputs.
Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model
A neural network model based on integrate‐and‐fire neurons that accounts for the phase shift of neuronal spiking arises in the model as a result of asymmetric spread of activation through the network, caused by asymmetry in the synaptic interactions.
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
The proposed spike- based synaptic learning algorithm provides a general framework for regulating neurotransmitter release probability by modifying the probability of vesicle discharge as a function of the relative timing of spikes in the pre- and postsynaptic neurons.