Title: Modeling electric brain signals
Speaker: Gaute T. Einevoll, Norwegian University of Life Sciences & University of Oslo

Abstract:
The combined use of volume-conductor theory and compartmental modeling of neuronal dynamics allows for biophysical computation of extracellular electric potentials such as extracellular spikes, multiunit activity (MUA), local field potentials (LFP), ECoG and EEG signals, as well as magnetic signals such as MEG (Halnes et al, Electric Brain Signals, Cambridge University Press, 2024). In the seminar this computational scheme will be presented together with example results from its use in computing brain signals generated by neurons and neuronal populations. These include (i) prediction of cortical spikes as recorded by Neuropixel Ultra probes (Ye, Shelton, et al, bioRxiv, 2023), (ii) prediction of MUA signals recorded by ECoG (Thunemann et al, bioRxiv, 2022), and (iii) joint use of spike and LFPs from Neuropixel recordings in mouse visual cortex to constrain large-scale network models (Rimehaug et al, eLife, 2023). Use of the same scheme aided by the Recitprocity Theorem for simulating effects of electric stimulation of neurons, will also be presented (Ness, Koch, Einevoll, bioRxiv, 2024).

Bio:
Gaute Einevoll is a professor of physics at the Norwegian University of Life Sciences and the University of Oslo working on brain physics, in particular, physics-type modelling of nerve cells, networks of nerve cells, brain tissue and brain signals. He has produced the Theoretical Neuroscience Podcast (theoreticalneuroscience.no) since October 2023.

He is a co-author of two textbooks:

• Halnes, Ness, Næss, Hagen, Pettersen Einevoll: "Electric Brain Signals", Cambridge Univ. Press, 2024 www.cambridge.org/electricbrainsignals
• Sterratt, Graham, Gillies, Einevoll, Willshaw: "Principles of computational modeling in neuroscience" (2nd ed), Cambridge Univ. Press 2023, : www.cambridge.org/sterratt2

Here is his google scholar: https://scholar.google.no/citations?user=np0Lz5kAAAAJ&hl=en