Publications by Christian Andreas Rössert

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

Henry Markram, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, James Gonzalo King, Rajnish Ranjan, Armando Romani, Mustafa Anil Tuncel, Aleksandra Zuzanna Teska, Polina Litvak

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo. Large-scale, biophysically detailed models offer a tool which can complement laboratory approaches. We present a m ...

2024

Simplification of spiking neural network models

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

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, Mustafa Anil Tuncel, Werner Alfons Hilda Van Geit, Alexis Arnaudon, Christian Andreas Rössert, Maria Reva, Tanguy Pierre Louis Damart, 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, Eilif Benjamin Muller, Rodrigo de Campos Perin, James Gonzalo King, Vincent Delattre, Mustafa Anil Tuncel, Werner Alfons Hilda Van Geit, Marwan Muhammad Ahmed Abdellah, Pramod Shivaji Kumbhar, Giuseppe Chindemi

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, Christian O'Reilly, Christian Andreas Rössert, Elisabetta Iavarone, Bas-Jan Zandt, Jane Yi

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

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, Eilif Benjamin Muller, Ying Shi, Armando Romani, Felix Schürmann, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Christian Andreas Rössert, Maurizio Ferdinando Pezzoli, Michele Migliore

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