Publication

Mapping the function of neuronal ion channels in model and experiment

Publications associées (31)

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

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

On Codes Decoding a Constant Fraction of Errors on the BSC

Jan Hazla

We strengthen the results from a recent work by the second author, achieving bounds on the weight distribution of binary linear codes that are successful under block-MAP (as well as bit-MAP) decoding on the BEC. We conclude that a linear code that is succe ...

ASSOC COMPUTING MACHINERY2021

Enhancement Mode Tri-gate GaN Power Devices and Logic Circuits

Minghua Zhu

Gallium Nitride (GaN) is one of the most promising materials for high frequency power switching due to its exceptional properties such as large saturation velocity, high carrier mobility, and high breakdown field strength. The high switching frequency of G ...

EPFL2021

Asymmetric opening of the homopentameric 5-HT3A serotonin receptor in lipid bilayers

Horst Vogel, Shuguang Yuan

Pentameric ligand-gated ion channels (pLGICs) of the Cys-loop receptor family are key players in fast signal transduction throughout the nervous system. They have been shown to be modulated by the lipid environment, however the underlying mechanism is not ...

Nature Research2021

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

Prospects of Observing Ionic Coulomb Blockade in Artificial Ion Confinements

Aleksandra Radenovic, Sanjin Marion, Andrey Chernev

Nanofluidics encompasses a wide range of advanced approaches to study charge and mass transport at the nanoscale. Modern technologies allow us to develop and improve artificial nanofluidic platforms that confine ions in a way similar to single-ion channels ...

MDPI2020

Auditing Radicalization Pathways on YouTube

Robert West, Manoel Horta Ribeiro

Non-profits, as well as the media, have hypothesized the existence of a radicalization pipeline on YouTube, claiming that users systematically progress towards more extreme content on the platform. Yet, there is to date no substantial quantitative evidence ...

ASSOC COMPUTING MACHINERY2020

Towards artificial mechanosensing

Aleksandra Radenovic, Sanjin Marion

Carbon nanotubes with single-digit diameter embedded in a solid artificial membrane show pressure-sensitive ionic conductance that is similar to the mechanically activated currents of biological ion channels. ...

NATURE PUBLISHING GROUP2020

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

Martin Vetterli, Adam James Scholefield, Karen Adam

Sampling is classically performed by recording the amplitude of the input at given time instants; however, sampling and reconstructing a signal using multiple devices in parallel becomes a more difficult problem to solve when the devices have an unknown sh ...

2020

Wearable multi-electrode platform for ion sensing

Francesca Criscuolo

With the growth of personalized medicine and e-Health, there has been an increasing interest in the development of accurate sensing systems able to support this healthcare revolution for both in- and off-hospital monitoring. Remote biosensing devices can d ...

EPFL2020

An efficient analytical reduction of detailed nonlinear neuron models

Felix Schürmann, Idan Segev, Guy Eyal, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Oren Amsalem

Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these ...

Nature Research2020