Efficient sampling-based Bayesian Active Learning for synaptic characterization.

Autor: Camille Gontier, Simone Carlo Surace, Igor Delvendahl, Martin Müller, Jean-Pascal Pfister

Publikováno v: PLoS Computational Biology, Vol 19, Iss 8, p e1011342 (2023)

Bayesian Active Learning (BAL) is an efficient framework for learning the parameters of a model, in which input stimuli are selected to maximize the mutual information between the observations and the unknown parameters. However, the applicability of

Externí odkaz: https://doaj.org/article/c15909eb43f44e6686c426d7af77c722

GluA4 facilitates cerebellar expansion coding and enables associative memory formation

Autor: Katarzyna Kita, Catarina Albergaria, Ana S Machado, Megan R Carey, Martin Müller, Igor Delvendahl

Publikováno v: eLife, Vol 10 (2021)

AMPA receptors (AMPARs) mediate excitatory neurotransmission in the central nervous system (CNS) and their subunit composition determines synaptic efficacy. Whereas AMPAR subunits GluA1–GluA3 have been linked to particular forms of synaptic plastic

Externí odkaz: https://doaj.org/article/fb182e5c8ff24d6cbe3986d12de89f55

Dysbindin links presynaptic proteasome function to homeostatic recruitment of low release probability vesicles

Autor: Corinna Wentzel, Igor Delvendahl, Sebastian Sydlik, Oleg Georgiev, Martin Müller

Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-16 (2018)

At the fly neuromuscular junction, postsynaptic receptor perturbation induces homeostatic enhancement of neurotransmitter release. Here, the authors show that the presynaptic proteasome controls a vesicle pool required for homeostatic plasticity and

Externí odkaz: https://doaj.org/article/f8718c0bcd3242a6a105ee35aaf02555

Rapid and sustained homeostatic control of presynaptic exocytosis at a central synapse

Autor: Martin Müller, Katarzyna Kita, Igor Delvendahl

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 116 (47)

Animal behavior is remarkably robust despite constant changes in neural activity. Homeostatic plasticity stabilizes central nervous system (CNS) function on time scales of hours to days. If and how CNS function is stabilized on more rapid time scales

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99fd2ade47c42c7503327f3ea934303a
http://europepmc.org/articles/PMC6876255

Gradients in the mammalian cerebellar cortex enable Fourier-like transformation and improve storing capacity

Autor: Philippe Isope, Sebastian Maas, Igor Delvendahl, Elise Savier, Ingo Bechmann, Martin Krueger, Stefan Hallermann, Isabelle Straub, Abdelmoneim Eshra, Laurens Witter, Kevin Dorgans, Niklas Byczkowicz, Miriam Hoidis

Publikováno v: eLife, Vol 9 (2020)
eLife
eLife, 9:e51771. eLife Sciences Publications
Straub, I, Witter, L, Eshra, A, Hoidis, M, Byczkowicz, N, Maas, S, Delvendahl, I, Dorgans, K, Savier, E, Bechmann, I, Krueger, M, Isope, P & Hallermann, S 2020, ' Gradients in the mammalian cerebellar cortex enable Fourier-like transformation and improve storing capacity ', eLife, vol. 9, e51771 . https://doi.org/10.7554/eLife.51771
eLife, eLife Sciences Publication, 2020, 9, ⟨10.7554/eLife.51771⟩

Cerebellar granule cells (GCs) make up the majority of all neurons in the vertebrate brain, but heterogeneities among GCs and potential functional consequences are poorly understood. Here, we identified unexpected gradients in the biophysical propert

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc66f29f1cae27620397b21a00a89676
https://elifesciences.org/articles/51771