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Concept

Neuroscientist

Publications associées (14)

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Felix Schürmann, Armando Romani

To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being adopted. This helps to obtain a simulated activity that reproduces the experimentally recorded neural dynamics as faithfully as possi ...

2023

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Nicolas Clairis

The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/d ...

Oxford Univ Press2023

Emerging principles of spacetime in brains: Meeting report on spatial neurodynamics

Carl Petersen

How do neurons and networks of neurons interact spatially? Here, we overview recent discoveries revealing how spatial dynamics of spiking and postsynaptic activity efficiently expose and explain fundamental brain and brainstem mechanisms behind detection, ...

CELL PRESS2022

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Daniel Keller

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

HUMANA PRESS INC2022

Real-time, low-latency closed-loop feedback using markerless posture tracking

Alexander Mathis, Mackenzie Mathis

The ability to control a behavioral task or stimulate neural activity based on animal behavior in real-time is an important tool for experimental neuroscientists. Ideally, such tools are noninvasive, low-latency, and provide interfaces to trigger external ...

2020

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

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

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

A null model of the mouse whole-neocortex micro-connectome

Henry Markram, Michael Reimann, Eilif Benjamin Muller, Ying Shi, Huanxiang Lu

In connectomics, the study of the network structure of connected neurons, great advances are being made on two different scales: that of macro- and meso-scale connectomics, studying the connectivity between populations of neurons, and that of micro-scale c ...

Nature Research2019

A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks

Marc-Oliver Gewaltig

Bio-inspired robots still rely on classic robot control although advances in neurophysiology allow adaptation to control as well. However, the connection of a robot to spiking neuronal networks needs adjustments for each purpose and requires frequent adapt ...

Springer Verlag2017

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?

Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

EPFL2016

Shedding of neurexin 3 beta ectodomain by ADAM10 releases a soluble fragment that affects the development of newborn neurons

Patrick Fraering, Mitko Dimitrov, Magda Maria Palczynska

Neurexins are transmembrane synaptic cell adhesion molecules involved in the development and maturation of neuronal synapses. In the present study, we report that Nrxn3 beta is processed by the metalloproteases ADAM10, ADAM17, and by the intramembrane-clea ...

Nature Research2016

Accelerating Range Queries For Brain Simulations

Henry Markram, Anastasia Ailamaki, Felix Schürmann, Thomas Heinis, Farhan Tauheed

Neuroscientists increasingly use computational tools to build and simulate models of the brain. The amounts of data involved in these simulations are immense and the importance of their efficient management is primordial. One particular problem in analyzin ...

2012

A mechatronic platform for behavioral analysis on nonhuman primates

Massimo Vespignani

In this work we present a new mechatronic platform for measuring behavior of nonhuman primates, allowing high reprogrammability and providing several possibilities of interactions. The platform is the result of a multidisciplinary design process, which has ...

2012

Predicting single spikes and spike patterns with the Hindmarsh–Rose model

Martin Hasler

Most simple neuron models are only able to model traditional spiking behavior. As physiologists discover and classify different electrical phenotypes, computational neuroscientists become interested in using simple phenomenological models that can exhibit ...

Springer-Verlag2008

Neuron models of the generic bifurcation type : network analysis and data modeling

Minimal nonlinear dynamic neuron models of the generic bifurcation type may provide the middle way between the detailed models favored by experimentalists and the simplified threshold and rate model of computational neuroscientists. This thesis investigate ...

EPFL2006