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From mechanisms to markers: novel noninvasive EEG proxy markers of the neural excitation and inhibition system in humans
Brain function is a product of the balance between excitatory and inhibitory (E/I) brain
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …
[HTML][HTML] Active dendrites and local field potentials: biophysical mechanisms and computational explorations
Neurons and glial cells are endowed with membranes that express a rich repertoire of ion
channels, transporters, and receptors. The constant flux of ions across the neuronal and glial …
channels, transporters, and receptors. The constant flux of ions across the neuronal and glial …
[کتاب][B] Electric brain signals: foundations and applications of biophysical modeling
G Halnes, TV Ness, S Næss, E Hagen, KH Pettersen… - 2024 - books.google.com
It is common to study the electric activity of neurons by measuring the electric potential in the
extracellular space of the brain. However, interpreting such measurements requires …
extracellular space of the brain. However, interpreting such measurements requires …
[HTML][HTML] Biophysically detailed forward modeling of the neural origin of EEG and MEG signals
Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most
important techniques for non-invasively studying cognition and disease in the human brain …
important techniques for non-invasively studying cognition and disease in the human brain …
Mean-field based framework for forward modeling of LFP and MEG signals
The use of mean-field models to describe the activity of large neuronal populations has
become a very powerful tool for large-scale or whole brain simulations. However, the …
become a very powerful tool for large-scale or whole brain simulations. However, the …
Brain signal predictions from multi-scale networks using a linearized framework
Simulations of neural activity at different levels of detail are ubiquitous in modern
neurosciences, aiding the interpretation of experimental data and underlying neural …
neurosciences, aiding the interpretation of experimental data and underlying neural …
Computation of the electroencephalogram (EEG) from network models of point neurons
The electroencephalogram (EEG) is a major tool for non-invasively studying brain function
and dysfunction. Comparing experimentally recorded EEGs with neural network models is …
and dysfunction. Comparing experimentally recorded EEGs with neural network models is …
On the validity of electric brain signal predictions based on population firing rates
Neural activity at the population level is commonly studied experimentally through
measurements of electric brain signals like local field potentials (LFPs), or …
measurements of electric brain signals like local field potentials (LFPs), or …
Multitask learning of a biophysically-detailed neuron model
The human brain operates at multiple levels, from molecules to circuits, and understanding
these complex processes requires integrated research efforts. Simulating biophysically …
these complex processes requires integrated research efforts. Simulating biophysically …
Computing extracellular electric potentials from neuronal simulations
Measurements of electric potentials from neural activity have played a key role in
neuroscience for almost a century, and simulations of neural activity is an important tool for …
neuroscience for almost a century, and simulations of neural activity is an important tool for …