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Advances in Neural Data Science : Data Research Camp 2022, Venice, Italy, July 12–15 / edited by Antonio Canale, Alessandra Luati, Stefano Mazzuco, Raffaella Piccarreta, Nicola Sartori, Piercesare Secchi

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer Proceedings in Mathematics & Statistics ; 475Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(IX, 124 p. 62 illus., 55 illus. in color.)ISBN:
  • 9783031706387
Subject(s): Additional physical formats: 9783031706370 | 9783031706394 | 9783031706400 | Erscheint auch als: 9783031706370 Druck-Ausgabe | Erscheint auch als: 9783031706394 Druck-Ausgabe | Erscheint auch als: 9783031706400 Druck-AusgabeDDC classification:
  • 006.31 23
DOI: DOI: 10.1007/978-3-031-70638-7Online resources: Summary: D'Angelo, Exploring the challenges of the analysis of the Allen Brain Observatory dataset -- Alfonzetti, Model free estimation of causal effects of different stimuli on neuron activities -- Barile, Assessing neuron response to external stimuli with a data-driven procedure for spike train extraction and GAMLSS regressions -- Bianco, Bayesian signal extraction in noisy uorescence traces -- Mascaretti and Friel, Bayesian Global-Local Deconvolution of Neurological Data -- Burzacchi, A point process approach for the classification of noisy calcium imaging data -- Girardi, Time Series Methodology for Analyzing Calcium ImagingData.Summary: This proceeding volume will contain a collection of peer-reviewed articles arising from the Data Research Camp 2022. The workshop took place on July 12–15, 2022, at the Venice International University, in the venetian island of San Servolo. The Data Research Camp has been a stimulating experience bringing together 28 early-career researchers in statistics and seven international professors with the common task of developing novel statistical methods for complex brain imaging data. The workshop was motivated by the recent advancements in miniaturized fluorescence microscopy that have made it possible to collect complex data on neuronal responses to stimuli in awake behaving animals. Several ongoing challenges are related to this novel technology including the deconvolution of the temporal signals to extract the spike trains from the noisy calcium data, the estimation of neuronal activation intensity distribution, the spatio-temporal dependence or covariate effect estimation, among others.PPN: PPN: 191631225XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS
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