Retrieving a context tree from EEG data
Resumen:
It has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here, we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic processes, namely, sequences of random objects driven by chains with memory of variable length.
| 2019 | |
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Stochastic chains with memory of variable length Sequences of random objects driven by context tree models Stochastic modeling of EEG data |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/28659 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| Sumario: | This article belongs to the Special Issue Stochastic Processes in Neuronal Modeling |
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