Excitatory postsynaptic potential

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Related publications (29)

Miniature neurotransmission is required to maintain Drosophila synaptic structures during ageing

Olivier Burri, Evelyne Ruchti, Brian Donal McCabe, Soumya Banerjee, Samuel William Vernon, Wei Jiao

The decline of neuronal synapses is an established feature of ageing accompanied by the diminishment of neuronal function, and in the motor system at least, a reduction of behavioural capacity. Here, we have investigated Drosophila motor neuron synaptic te ...

Nature Research2021

Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Jay Coggan

With a computational model of energy metabolism in an astrocyte, we show how a system of enzymes in a cascade can act as a functional unit of interdependent reactions, rather than merely a series of independent reactions. These systems may exist in multipl ...

2020

Dendritic Voltage Recordings Explain Paradoxical Synaptic Plasticity: A Modeling Study

Wulfram Gerstner, Matthias Chinyen Tsai, Laureline Logiaco, Claire Meissner-Bernard

Experiments have shown that the same stimulation pattern that causes Long-Term Potentiation in proximal synapses, will induce Long-Term Depression in distal ones. In order to understand these, and other, surprising observations we use a phenomenological mo ...

FRONTIERS RESEARCH FOUNDATION2020

Volcano-Shaped Scanning Probe Microscopy Probe for Combined Force-Electrogram Recordings from Excitable Cells

Philippe Renaud, Georg Fantner, Arnaud Bertsch, Mélanie Thérèse Marie Hannebelle, Benoît Xavier Emmanuel Desbiolles

Atomic force microscopy based approaches have led to remarkable advances in the field of mechanobiology. However, linking the mechanical cues to biological responses requires complementary techniques capable of recording these physiological characteristics ...

AMER CHEMICAL SOC2020

Somatostatin enhances visual processing and perception by suppressing excitatory inputs to parvalbumin-positive interneurons in V1

Carl Petersen, Graham Knott, Catherine Maclachlan, Seung-Hee Lee

Somatostatin (SST) is a neuropeptide expressed in a major subtype of GABAergic interneurons in the cortex. Despite abundant expression of SST and its receptors, their modulatory function in cortical processing remains unclear. Here, we found that SST appli ...

2020

Intracellular recording of cardiomyocyte action potentials with nanopatterned volcano-shaped microelectrodes

Benoît Xavier Emmanuel Desbiolles

Micro-nanotechnology based multielectrode arrays have led to remarkable progress in the field of transmembrane voltage recordings of excitable cells. However, electrode geometries alone have failed to produce a cell-electrode interface that is sufficiently ...

EPFL2020

Excitatory/inhibitory neuronal metabolic balance in mouse hippocampus upon infusion of [U-C-13(6)]glucose

Rolf Gruetter, Bernard Lanz, Hongxia Lei, Carole Poitry-Yamate, Antoine Timothée Cherix, Guillaume Donati, Blanca Lizarbe Serra

Hippocampus plays a critical role in linking brain energetics and behavior typically associated to stress exposure. In this study, we aimed to simultaneously assess excitatory and inhibitory neuronal metabolism in mouse hippocampus in vivo by applying (18) ...

2021

Nanovolcano microelectrode arrays: toward long-term on-demand registration of transmembrane action potentials by controlled electroporation

Philippe Renaud, Arnaud Bertsch, Benoît Xavier Emmanuel Desbiolles, Nicolas Grégoire Maïno, Stephan Rohr, Etienne de Coulon

Volcano-shaped microelectrodes (nanovolcanoes) functionalized with nanopatterned self-assembled monolayers have recently been demonstrated to report cardiomyocyte action potentials after gaining spontaneous intracellular access. These nanovolcanoes exhibit ...

2020

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

Wulfram Gerstner, Tilo Schwalger, Valentin Marc Schmutz

Coarse-graining microscopic models of biological neural networks to obtain mesoscopic models of neural activities is an essential step towards multi-scale models of the brain. Here, we extend a recent theory for mesoscopic population dynamics with static s ...

2020

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