Search Results for author: Elke Kirschbaum

Found 5 papers, 4 papers with code

Obtaining Causal Information by Merging Datasets with MAXENT

no code implementations15 Jul 2021 Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing

Another similarly important and challenging task is to quantify the causal influence of a treatment on a target in the presence of confounders.

DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging

1 code implementation21 Aug 2019 Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht

In order to use the data gained with calcium imaging, it is necessary to extract individual cells and their activity from the recordings.

Cell Segmentation Instance Segmentation +1

LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos

1 code implementation ICLR 2019 Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Jakobi, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht

Neuronal assemblies, loosely defined as subsets of neurons with reoccurring spatio-temporally coordinated activation patterns, or "motifs", are thought to be building blocks of neural representations and information processing.

Sparse convolutional coding for neuronal assembly detection

1 code implementation NeurIPS 2017 Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht

Cell assemblies, originally proposed by Donald Hebb (1949), are subsets of neurons firing in a temporally coordinated way that gives rise to repeated motifs supposed to underly neural representations and information processing.

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