Skip to Main content Skip to Navigation
Conference papers

Endowing the Machine with Active Inference: A Generic Framework to Implement Adaptive BCI

Abstract : Recent developments in computational neuroscience gave rise to an efficient generic framework to implement both optimal perceptual (Bayesian) inference and choice behaviour. This framework named Active Inference rests on minimizing free energy or surprise. We suggest it could be used to implement efficient adaptive Brain-Computer Interfaces (BCIs). We briefly illustrate it on a simulated P300-speller task.
Complete list of metadata

Cited literature [5 references]  Display  Hide  Download

https://hal.inria.fr/hal-01527752
Contributor : Jelena Mladenovic Connect in order to contact the contributor
Submitted on : Thursday, May 25, 2017 - 9:56:59 AM
Last modification on : Friday, January 7, 2022 - 3:49:28 AM
Long-term archiving on: : Monday, August 28, 2017 - 12:24:09 AM

File

Active_Inference_Framework_BCI...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01527752, version 1

Citation

Jelena Mladenović, Mateus Joffily, Jérémy Frey, Fabien Lotte, Jérémie Mattout. Endowing the Machine with Active Inference: A Generic Framework to Implement Adaptive BCI. NeuroAdaptive Technology Conference '17, Jul 2017, Berlin, Germany. ⟨hal-01527752⟩

Share

Metrics

Les métriques sont temporairement indisponibles