Publications by Aurélien Tristan Jaquier

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

Henry Markram, Werner Alfons Hilda Van Geit, Tanguy Pierre Louis Damart, Darshan Mandge, Mickael Maurice Zbili, Aurélien Tristan Jaquier

In computational neuroscience, multicompartment models are among the most biophysically realistic representations of single neurons. Constructing such models usually involves the use of the patch-clamp technique to record somatic voltage signals under diff ...

2024

BlueCelluLab: Biologically Detailed Neural Network Experimentation API

Henry Markram, Eilif Benjamin Muller, Lida Kanari, Mustafa Anil Tuncel, Werner Alfons Hilda Van Geit, Darshan Mandge, Aurélien Tristan Jaquier

The NEURON simulator, established in 1984 and continuously developed since, stands as the preeminent tool for neuron simulation within computational neuroscience. Its widespread adoption and compatibility with computational clusters and supercomputers unde ...

The Open Journal2024

Directional sensitivity of cortical neurons towards TMS induced electric fields

Werner Alfons Hilda Van Geit, Aurélien Tristan Jaquier

We derived computationally efficient average response models of different types of cortical neurons, which are subject to external electric fields from Transcranial Magnetic Stimulation. We used 24 reconstructions of pyramidal cells (PC) from layer 2/3, 24 ...

2023

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