Canale Advances in Neural Data Science

Advances in Neural Data Science

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Data Research Camp 2022, Venice, Italy, July 12–15

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Beschreibung

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.


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.


Contains the outcome of three stimulating and formative days for early career researchers Is motivated by novel data arising from emerging technological advances Deals with different methodological aspects to analyze a common dataset

Autor*in

Antonio Canale

Themen in »Advances in Neural Data Science«

Quantitative neuroscience Calcium imaging data Multidimensional time series Model-based clustering Causal inference Spatio-temporal data analysis Machine learning

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Details

ISBN: 9783031706400
Verlag: Springer International Publishing
Erscheinung: 29.01.2026

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