A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings
Cortical function emerges from the interactions of multi-scale networks that may be studied at a high level using neural mass models (NMM) that represent the mean activity of large numbers of neurons. Here, we provide first a new framework called laminar NMM, or LaNMM for short, where we combine con...
Main Authors: | Sanchez-Todo, Roser, Bastos, André M, Lopez-Sola, Edmundo, Mercadal, Borja, Santarnecchi, Emiliano, Miller, Earl K, Deco, Gustavo, Ruffini, Giulio |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2023
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Online Access: | https://hdl.handle.net/1721.1/150022 |
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