Publications by Csaba Erö | EPFL Graph Search

Related publications (7)

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas

Henry Markram, Felix Schürmann, Daniel Keller, Csaba Erö, Huanxiang Lu, Dimitri Bruno Marie Rodarie, Francesco Casalegno, Jan Krepl, Emilie Delattre

The acquisition of high quality maps of gene expression in the rodent brain is of fundamental importance to the neuroscience community. The generation of such datasets relies on registering individual gene expression images to a reference volume, a task en ...

FRONTIERS MEDIA SA2021

Data-driven reconstruction of a point neuron mouse brain

Csaba Erö

In this work, we present a semi-automatic method to reconstruct a mouse whole-brain model at the point-neuron level by integrating a wide array of biological data. Our process has three parts: cell position and type assignment, connectivity mapping, and si ...

EPFL2018

Cell Densities in the Mouse Brain: A Systematic Review

Henry Markram, Daniel Keller, Csaba Erö

The mouse brain is the most extensively studied brain of all species. We performed an exhaustive review of the literature to establish our current state of knowledge on cell numbers in mouse brain regions, arguably the most fundamental property to measure ...

2018

Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers

Marc-Oliver Gewaltig, Csaba Erö, Lars Schneidenbach

We present a solution to two important problems that arise in the simulation of large data-driven neural networks: (a) efficient loading of network descriptions and (b) efficient instantiation of the network by executing the model specification. To address ...

Springer International Publishing2017

Corrigendum: A Cell Atlas for the Mouse Brain

Henry Markram, Daniel Keller, Marc-Oliver Gewaltig, Csaba Erö

2019

Simplification of spiking neural network models

Wulfram Gerstner, Henry Markram, Eilif Benjamin Muller, James Gonzalo King, Christian Antonio Pozzorini, Csaba Erö, Christian Andreas Rössert, Idan Segev, Willem Anna Mark Wybo

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2024

Simplification of neural network models

Wulfram Gerstner, Henry Markram, Idan Segev, Eilif Benjamin Muller, Marc-Oliver Gewaltig, James Gonzalo King, Christian Antonio Pozzorini, Csaba Erö, Christian Andreas Rössert, Willem Anna Mark Wybo

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2018