Short-Term Synaptic Plasticity: Microscopic Modelling and (Some) Computational Implications

Barri, Alessandro; Mongillo, Gianluigi

doi:10.1007/978-3-030-89439-9_5

Cited by 1 publication

(1 citation statement)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, short-term plasticity and its phenomenological description are introduced. For further details, please refer to Markram et al ( 1998 ), Tsodyks et al ( 1998 , 2000 ), Barak and Tsodyks ( 2007 ), and Barri and Mongillo ( 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Simulations of working memory spiking networks driven by short-term plasticity

Tiddia

Golosio²,

Fanti³

et al. 2022

Front. Integr. Neurosci.

View full text Add to dashboard Cite

Working Memory (WM) is a cognitive mechanism that enables temporary holding and manipulation of information in the human brain. This mechanism is mainly characterized by a neuronal activity during which neuron populations are able to maintain an enhanced spiking activity after being triggered by a short external cue. In this study, we implement, using the NEST simulator, a spiking neural network model in which the WM activity is sustained by a mechanism of short-term synaptic facilitation related to presynaptic calcium kinetics. The model, which is characterized by leaky integrate-and-fire neurons with exponential postsynaptic currents, is able to autonomously show an activity regime in which the memory information can be stored in a synaptic form as a result of synaptic facilitation, with spiking activity functional to facilitation maintenance. The network is able to simultaneously keep multiple memories by showing an alternated synchronous activity which preserves the synaptic facilitation within the neuron populations holding memory information. The results shown in this study confirm that a WM mechanism can be sustained by synaptic facilitation.

show abstract