about
Quantifying Repetitive Transmission at Chemical Synapses: A Generative-Model ApproachSpike-driven synaptic dynamics generating working memory states.Synaptic theory of working memory.On the relationship between persistent delay activity, repetition enhancement and priming.Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli.Intrinsic volatility of synaptic connections - a challenge to the synaptic trace theory of memory.Mean field and capacity in realistic networks of spiking neurons storing sparsely coded random memories.Oscillations and irregular emission in networks of linear spiking neurons.Learning in realistic networks of spiking neurons and spike-driven plastic synapses.Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network.Neuroscience: Formation of a Percept in the Rat Cortex.Mean-field analysis of selective persistent activity in presence of short-term synaptic depression.Bistability and spatiotemporal irregularity in neuronal networks with nonlinear synaptic transmission.On the distribution of firing rates in networks of cortical neurons.Online learning with hidden markov models.Inhibitory connectivity defines the realm of excitatory plasticity
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P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Gianluigi Mongillo
@ast
Gianluigi Mongillo
@en
Gianluigi Mongillo
@es
Gianluigi Mongillo
@sl
type
label
Gianluigi Mongillo
@ast
Gianluigi Mongillo
@en
Gianluigi Mongillo
@es
Gianluigi Mongillo
@sl
prefLabel
Gianluigi Mongillo
@ast
Gianluigi Mongillo
@en
Gianluigi Mongillo
@es
Gianluigi Mongillo
@sl
P106
P1153
6507848855
P21
P2456
P31
P496
0000-0002-6885-9394