Power-law adaptation in the presynaptic vesicle cycle DOI Creative Commons
Fabian A. Mikulasch,

Svilen V. Georgiev,

Lucas Rudelt

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 23, 2024

After synaptic transmission, fused vesicles are recycled, enabling the synapse to recover its capacity for renewed release. The recovery steps, which range from endocytosis vesicle docking and priming, have been studied individually, but it is not clear what their impact on overall dynamics of recycling is, how they influence signal transmission. Here we model find that multiple timescales steps reflected in recovery. This leads multi-timescale dynamics, can be described by a simplified with ‘power-law’ adaptation. Using cultured hippocampal neurons, test this experimentally, show duration exhaustion changes effective timescale, as predicted model. Finally, adaptation could implement specific function hippocampus, namely efficient communication between neurons through temporal whitening spike trains.

Language: Английский

Functional specialization of hippocampal somatostatin-expressing interneurons DOI Creative Commons
Simon Chamberland,

Gariel Grant,

Robert Machold

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(17)

Published: April 19, 2024

Hippocampal somatostatin-expressing ( Sst ) GABAergic interneurons (INs) exhibit considerable anatomical and functional heterogeneity. Recent single-cell transcriptome analyses have provided a comprehensive -IN subpopulations census, plausible molecular ground truth of neuronal identity whose links to specific functionality remain incomplete. Here, we designed an approach identify access -INs based on transcriptomic features. Four mouse models single or combinatorial Cre- Flp- expression differentiated functionally distinct CA1 hippocampal Sst- INs that largely tiled the morpho-functional parameter space superfamily. Notably, Sst;;Tac1 intersection revealed population bistratified preferentially synapsed onto fast-spiking (FS-INs) were sufficient interrupt their firing. In contrast, Ndnf;;Nkx2-1 identified oriens lacunosum-moleculare predominantly targeted pyramidal neurons, avoiding FS-INs. Overall, our results provide framework translate into discrete subtypes capture diverse specializations -INs.

Language: Английский

Citations

17
Computational protocol for modeling and analyzing synaptic dynamics using SRPlasticity DOI Creative Commons

J Poirier,

John Beninger, Richard Naud

et al.

STAR Protocols, Journal Year: 2025, Volume and Issue: 6(1), P. 103652 - 103652

Published: March 1, 2025

Transient changes in synaptic strength, known as short-term plasticity (STP), play a fundamental role neuronal communication. Here, we present protocol for using SRPlasticity, software package that implements computational model of STP. SRPlasticity supports automatic characterization electrophysiological data and simulation responses. We describe steps installing utilizing preprocessing data, fitting models, simulating then detail procedures analyzing spike response (SRP) parameters to infer functional groupings For complete details on the use execution this protocol, please refer Rossbroich et al.1 Beninger al.2.

Language: Английский

Citations

0
Power-law adaptation in the presynaptic vesicle cycle DOI Creative Commons
Fabian A. Mikulasch,

Svilen V. Georgiev,

Lucas Rudelt

et al.

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 2, 2025

After synaptic transmission, fused vesicles are recycled, enabling the synapse to recover its capacity for renewed release. The recovery steps, which range from endocytosis vesicle docking and priming, have been studied individually, but it is not clear what their impact on overall dynamics of recycling is, how they influence signal transmission. Here we model find that multiple timescales steps reflected in recovery. This leads multi-timescale dynamics, can be described by a simplified with 'power-law' adaptation. Using cultured hippocampal neurons, test this experimentally, show duration exhaustion changes effective timescale, as predicted model. Finally, adaptation could implement specific function hippocampus, namely efficient communication between neurons through temporal whitening spike trains.

Language: Английский

Citations

0
Power-law adaptation in the presynaptic vesicle cycle DOI Creative Commons
Fabian A. Mikulasch,

Svilen V. Georgiev,

Lucas Rudelt

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 23, 2024

After synaptic transmission, fused vesicles are recycled, enabling the synapse to recover its capacity for renewed release. The recovery steps, which range from endocytosis vesicle docking and priming, have been studied individually, but it is not clear what their impact on overall dynamics of recycling is, how they influence signal transmission. Here we model find that multiple timescales steps reflected in recovery. This leads multi-timescale dynamics, can be described by a simplified with ‘power-law’ adaptation. Using cultured hippocampal neurons, test this experimentally, show duration exhaustion changes effective timescale, as predicted model. Finally, adaptation could implement specific function hippocampus, namely efficient communication between neurons through temporal whitening spike trains.

Language: Английский

Citations

0