Most of what we have learned about the functioning of the living brain has come from extracellular electrical recordings, like the measurement of spikes, LFP, ECoG and EEG signals.
And most analysis of these recordings has been statistical, looking for correlations between the recorded signals and what the animal/human is doing or being exposed to.
However, starting with the neuron rather than the data, these electrical brain signals can also be computed from biophysics-based forward models.
Our research group at NMBU and UiO has worked on this topic for the last 20 years or so and just published the book “Electric Brain Signals” about it.
In this solo episode of the podcast I give an intro to the topic.
Links:
- Information on the book “Electric Brain Signals”, Cambridge University Press (2024), and on how to order it. To order book with 20% discount, enter discount code ELECBS24 at checkout.
- Review of “Electric Brain Signals” by Christof Koch: “Electric fields and the experienced life”, Frontiers of Computational Neuroscience (2024)
- D. Sterratt, B. Graham, A. Gillies, G.T. Einevoll, D. Willshaw: “Principles of computational modelling in neuroscience”, 2nd edition, Cambridge University Press (2024)
The podcast was recorded on September 15th, 2024 and lasts 1 hour and 48 minutes.
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