Publications de Christian Andreas Rössert

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Henry Markram, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Armando Romani, Christian Andreas Rössert, Judit Planas Carbonell, Genrich Ivaska, András Ecker, Daniela Egas Santander, Natali Barros Zulaica, Alexander Dietz, Omar Awile, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Thomas Brice Delemontex, Jorge Blanco Alonso, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, James Bryden Isbister, Darshan Mandge, Weina Ji, Aleksandra Zuzanna Teska, Polina Litvak, Gianluca Ficarelli, Joni Henrikki Herttuainen, ,

Simplification of spiking neural network models

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

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

A universal workflow for creation, validation and generalization of detailed neuronal models

Henry Markram, Srikanth Ramaswamy, Alexis Arnaudon, Werner Alfons Hilda Van Geit, Christian Andreas Rössert, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, Darshan Mandge

Detailed single neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools are dedicated to the reproduction of a small set of specific ...

Cambridge2023

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

Henry Markram, Vincent Delattre, Rodrigo de Campos Perin, James Gonzalo King, Eilif Benjamin Muller, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Aurélien Tristan Jaquier, Pramod Shivaji Kumbhar, Christian Andreas Rössert, András Ecker, Mustafa Anil Tuncel

Pyramidal cells (PCs) form the backbone of the layered structure of the neocortex, and plasticity of their synapses is thought to underlie learning in the brain. However, such long-term synaptic changes have been experimentally characterized between only a ...

Nature Portfolio2022

GABA-mediated tonic inhibition differentially modulates gain in functional subtypes of cortical interneurons

Sean Lewis Hill, Christian Andreas Rössert, Bas-Jan Zandt, Steven Petrou

The binding of GABA (gamma-aminobutyric acid) to extrasynaptic GABA(A) receptors generates tonic inhibition that acts as a powerful modulator of cortical network activity. Despite GABA being present throughout the extracellular space of the brain, previous ...

National Academy of Sciences2020

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Henry Markram, Sean Lewis Hill, Ying Shi, Werner Alfons Hilda Van Geit, Jane Yi, Christian Andreas Rössert, Elisabetta Iavarone, Christian O'Reilly, Bas-Jan Zandt

Somatosensory thalamocortical (TC) neurons from the ventrobasal (VB) thalamus are central components in the flow of sensory information between the periphery and the cerebral cortex, and participate in the dynamic regulation of thalamocortical states inclu ...

2019

Simplification of neural network models

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

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

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Maurizio Ferdinando Pezzoli, Ying Shi, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Olivier Richard Hagens, Armando Romani, Christian Andreas Rössert, Michele Migliore, Szabolcs Kali, Carmen Alina Lupascu, Rosanna Migliore, Audrey Mercer, Luca Leonardo Bologna, Stefano Maximiliano Antonel

Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal synaptic input patterns into a single spiking output. This function is specified by the particular shape and passive electrical properties of the neuronal memb ...

2018