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Neural connectomics challenge

Battaglia, Demian.

Neural connectomics challenge

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural connectomics challenge/ edited by Demian Battaglia ... [et al.].
other author:	Battaglia, Demian.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	x, 117 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Computational neuroscience. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-53070-3
ISBN:	9783319530703$q(electronic bk.)

Neural connectomics challenge
Neural connectomics challenge[electronic resource] /edited by Demian Battaglia ... [et al.]. - Cham :Springer International Publishing :2017. - x, 117 p. :ill., digital ;24 cm. - The Springer series on challenges in machine learning,2520-131X. - Springer series on challenges in machine learning..

First Connectomics Challenge: From Imaging to Connectivity -- Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging -- Supervised Neural Network Structure Recovery -- Signal Correlation Prediction Using Convolutional Neural Networks -- Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization -- Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features -- Efficient Combination of Pairwise Feature Networks -- Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model -- SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data -- Supplemental Information.

ISBN: 9783319530703$q(electronic bk.)

Standard No.: 10.1007/978-3-319-53070-3doiSubjects--Topical Terms:

581378
Computational neuroscience.

LC Class. No.: QP357.5

Dewey Class. No.: 612.8

Neural connectomics challenge
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020 $a 9783319530697$q(paper)
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035 $a 978-3-319-53070-3
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041 0 $a eng
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245 0 0 $a Neural connectomics challenge $h [electronic resource] / $c edited by Demian Battaglia ... [et al.].
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a x, 117 p. : $b ill., digital ; $c 24 cm.
490 1 $a The Springer series on challenges in machine learning, $x 2520-131X
505 0 $a First Connectomics Challenge: From Imaging to Connectivity -- Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging -- Supervised Neural Network Structure Recovery -- Signal Correlation Prediction Using Convolutional Neural Networks -- Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization -- Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features -- Efficient Combination of Pairwise Feature Networks -- Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model -- SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data -- Supplemental Information.
650 0 $a Computational neuroscience. $3 581378
650 0 $a Neural networks (Neurobiology) $3 580034
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Image Processing and Computer Vision. $3 670819
700 1 $a Battaglia, Demian. $3 1143126
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Springer series on challenges in machine learning. $3 1143127
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-53070-3
950 $a Computer Science (Springer-11645)

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