Spike timing dependent plasticity: a consequence of more fundamental learning rules

HZ Shouval, SSH Wang, GM Wittenberg - Frontiers in computational …, 2010 - frontiersin.org
Spike timing dependent plasticity (STDP) is a phenomenon in which the precise timing of
spikes affects the sign and magnitude of changes in synaptic strength. STDP is often …

Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models

M Graupner, N Brunel - Frontiers in computational neuroscience, 2010 - frontiersin.org
We review biophysical models of synaptic plasticity, with a focus on spike-timing dependent
plasticity (STDP). The common property of the discussed models is that synaptic changes …

STDP in a bistable synapse model based on CaMKII and associated signaling pathways

M Graupner, N Brunel - PLoS computational biology, 2007 - journals.plos.org
The calcium/calmodulin-dependent protein kinase II (CaMKII) plays a key role in the
induction of long-term postsynaptic modifications following calcium entry. Experiments …

Modulation of synaptic plasticity by glutamatergic gliotransmission: a modeling study

M De Pitta, N Brunel - Neural plasticity, 2016 - Wiley Online Library
Glutamatergic gliotransmission, that is, the release of glutamate from perisynaptic astrocyte
processes in an activity‐dependent manner, has emerged as a potentially crucial signaling …

Short-term depression and long-term plasticity together tune sensitive range of synaptic plasticity

N Deperrois, M Graupner - PLoS computational biology, 2020 - journals.plos.org
Synaptic efficacy is subjected to activity-dependent changes on short-and long time scales.
While short-term changes decay over minutes, long-term modifications last from hours up to …

Frequency-dependent changes in NMDAR-dependent synaptic plasticity

A Kumar, MR Mehta - Frontiers in computational neuroscience, 2011 - frontiersin.org
The NMDAR-dependent synaptic plasticity is thought to mediate several forms of learning,
and can be induced by spike trains containing a small number of spikes occurring with …

Postsynaptic signal transduction models for long-term potentiation and depression

T Manninen, K Hituri, JH Kotaleski… - Frontiers in …, 2010 - frontiersin.org
More than a hundred biochemical species, activated by neurotransmitters binding to
transmembrane receptors, are important in long-term potentiation (LTP) and long-term …

A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics

YE Rodrigues, CM Tigaret, H Marie, C O'Donnell… - Elife, 2023 - elifesciences.org
Discovering the rules of synaptic plasticity is an important step for understanding brain
learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible …

Structural plasticity controlled by calcium based correlation detection

M Helias, S Rotter, MO Gewaltig… - Frontiers in …, 2008 - frontiersin.org
Hebbian learning in cortical networks during development and adulthood relies on the
presence of a mechanism to detect correlation between the presynaptic and the …

Expansion of epileptogenic networks via neuroplasticity in neural mass models

E Köksal-Ersöz, P Benquet… - PLOS Computational …, 2024 - journals.plos.org
Neuroplasticity refers to functional and structural changes in brain regions in response to
healthy and pathological activity. Activity dependent plasticity induced by epileptic activity …