Werner Alfons Hilda Van Geit

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Related publications (29)

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

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

Single Neuron Optimization as a Basis for Accurate Biophysical Modeling : The Case of Cerebellar Granule Cells

Felix Schürmann, Werner Alfons Hilda Van Geit, Stefano Masoli, Egidio D'Angelo

In realistic neuronal modeling, once the ionic channel complement has been defined, the maximum ionic conductance (Gi-max) values need to be tuned in order to match the firing pattern revealed by electrophysiological recordings. Recently, selection/mutatio ...

Frontiers Media Sa2017

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells

Henry Markram, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Oren Amsalem

In the neocortex, inhibitory interneurons of the same subtype are electrically coupled with each other via dendritic gap junctions (GJs). The impact of multiple GJs on the biophysical properties of interneurons and thus on their input processing is unclear ...

Oxford University Press (OUP)2016

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

Henry Markram, Sean Lewis Hill, Lida Kanari, Eilif Benjamin Muller, Srikanth Ramaswamy, Ying Shi, Rajnish Ranjan, Michael Reimann, Felix Schürmann, James Gonzalo King

We have established a multi-constraint, data-driven process to digitally reconstruct, and simulate prototypical neocortical microcircuitry, using sparse experimental data. We applied this process to reconstruct the microcircuitry of the somatosensory corte ...

Frontiers Research Foundation2015

Reconstruction and Simulation of Neocortical Microcircuitry

Anastasia Ailamaki, Henry Markram, Sean Lewis Hill, Eilif Benjamin Muller, Rodrigo de Campos Perin, Lida Kanari, Srikanth Ramaswamy, Vincent Delattre, Michael Reimann, Ying Shi

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse ex ...

Elsevier2015