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Advances in neural data science = Da...

Data Research Camp ((2022 :)

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Advances in neural data science = Data Research Camp 2022, Venice, Italy, July 12-15 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in neural data science/ edited by Antonio Canale ... [et al.].
其他題名:	Data Research Camp 2022, Venice, Italy, July 12-15 /
其他作者:	Canale, Antonio.
團體作者:	Data Research Camp
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 124 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Neural networks (Neurobiology) - Congresses. - Statistical methods -
電子資源:	https://doi.org/10.1007/978-3-031-70638-7
ISBN:	9783031706387

Advances in neural data science = Data Research Camp 2022, Venice, Italy, July 12-15 /
Advances in neural data scienceData Research Camp 2022, Venice, Italy, July 12-15 /[electronic resource] :edited by Antonio Canale ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 124 p. :ill. (chiefly color), digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 4752194-1017 ;. - Springer proceedings in mathematics & statistics ;v. 475..

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.

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.

ISBN: 9783031706387

Standard No.: 10.1007/978-3-031-70638-7doiSubjects--Topical Terms:

3782630
Neural networks (Neurobiology)
--Statistical methods--Congresses.

LC Class. No.: QP363.3

Dewey Class. No.: 612.82

Advances in neural data science = Data Research Camp 2022, Venice, Italy, July 12-15 /
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