Plant bioelectronics and biohybrids: the growing contribution of organic electronic and carbon-based materials

G Dufil, I Bernacka-Wojcik, A Armada-Moreira… - Chemical …, 2021 - ACS Publications
Life in our planet is highly dependent on plants as they are the primary source of food,
regulators of the atmosphere, and providers of a variety of materials. In this work, we review …

Modelling and analysis of local field potentials for studying the function of cortical circuits

GT Einevoll, C Kayser, NK Logothetis… - Nature Reviews …, 2013 - nature.com
The past decade has witnessed a renewed interest in cortical local field potentials (LFPs)—
that is, extracellularly recorded potentials with frequencies of up to∼ 500 Hz. This is due to …

[HTML][HTML] The scientific case for brain simulations

GT Einevoll, A Destexhe, M Diesmann, S Grün, V Jirsa… - Neuron, 2019 - cell.com
A key element of the European Union's Human Brain Project (HBP) and other large-scale
brain research projects is the simulation of large-scale model networks of neurons. Here, we …

A guideline for head volume conductor modeling in EEG and MEG

J Vorwerk, JH Cho, S Rampp, H Hamer, TR Knösche… - NeuroImage, 2014 - Elsevier
For accurate EEG/MEG source analysis it is necessary to model the head volume conductor
as realistic as possible. This includes the distinction of the different conductive …

Magnetoencephalography in cognitive neuroscience: a primer

J Gross - Neuron, 2019 - cell.com
Magnetoencephalography (MEG) is an invaluable tool to study the dynamics and
connectivity of large-scale brain activity and their interactions with the body and the …

A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources

MC Piastra, A Nüßing, J Vorwerk, M Clerc… - Human Brain …, 2021 - Wiley Online Library
Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography
(EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge …

The FieldTrip-SimBio pipeline for EEG forward solutions

J Vorwerk, R Oostenveld, MC Piastra, L Magyari… - Biomedical engineering …, 2018 - Springer
Background Accurately solving the electroencephalography (EEG) forward problem is
crucial for precise EEG source analysis. Previous studies have shown that the use of …

[HTML][HTML] Inter-subject variability of skull conductivity and thickness in calibrated realistic head models

M Antonakakis, S Schrader, Ü Aydin, A Khan, J Gross… - Neuroimage, 2020 - Elsevier
Skull conductivity has a substantial influence on EEG and combined EEG and MEG source
analysis as well as on optimized transcranial electric stimulation. To overcome the use of …

Lasso and probabilistic inequalities for multivariate point processes

NR Hansen, P Reynaud-Bouret, V Rivoirard - 2015 - projecteuclid.org
Due to its low computational cost, Lasso is an attractive regularization method for high-
dimensional statistical settings. In this paper, we consider multivariate counting processes …

Carbon-based neural electrodes: Promises and challenges

M Devi, M Vomero, E Fuhrer… - Journal of Neural …, 2021 - iopscience.iop.org
Neural electrodes are primary functional elements of neuroelectronic devices designed to
record neural activity based on electrochemical signals. These electrodes may also be …