Zobrazeno 1 - 10
of 623
pro vyhledávání: '"A. Daunizeau"'
Acoustic metamaterials are artificial structures, often lattice of resonators, with unusual properties. They can be engineered to stop wave propagation in specific frequency bands. Once manufactured, their dispersive qualities remain invariant in tim
Externí odkaz:
http://arxiv.org/abs/2408.09829
Humans rely on multimodal perception to form representations of the world. This implies that environmental stimuli must remain consistent and predictable throughout their journey to our sensory organs. When it comes to vision, electromagnetic waves a
Externí odkaz:
http://arxiv.org/abs/2311.01179
Autor:
Jules Brochard, Jean Daunizeau
Publikováno v:
eLife, Vol 13 (2024)
Is irrational behavior the incidental outcome of biological constraints imposed on neural information processing? In this work, we consider the paradigmatic case of gamble decisions, where gamble values integrate prospective gains and losses. Under t
Externí odkaz:
https://doaj.org/article/1b5b9190c00e4307bf3cc601ec16d639
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Mood effects on economic choice seem blatantly irrational, but might rise from mechanisms adapted to natural environments. We have proposed a theory in which mood helps adapting the behaviour to statistical dependencies in the environment, b
Externí odkaz:
https://doaj.org/article/4a5d04128467410c877441cfac62a868
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Reading acquisition is enabled by deep changes in the brain’s visual system and language areas, and in the links subtending their collaboration. Disruption of those plastic processes commonly results in developmental dyslexia. However, aty
Externí odkaz:
https://doaj.org/article/a1adfe41cc0b4b5888027bcae9f34c33
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Price, Cathy J., Moran, Rosalyn J., Costello, Anthony, Pillay, Deenan, Lambert, Christian
This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the pandemic. This is a crucial epidemiological parameter that speaks to
Externí odkaz:
http://arxiv.org/abs/2006.09429
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Price, Cathy J., Moran, Rosalyn J., Lambert, Christian
By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifically, we included a quarantine or isolation state occupied by people wh
Externí odkaz:
http://arxiv.org/abs/2005.07994
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Price, Cathy J., Moran, Rosalyn J., Lambert, Christian
We recently described a dynamic causal model of a COVID-19 outbreak within a single region. Here, we combine several of these (epidemic) models to create a (pandemic) model of viral spread among regions. Our focus is on a second wave of new cases tha
Externí odkaz:
http://arxiv.org/abs/2004.13017
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Moran, Rosalyn J., Price, Cathy J., Lambert, Christian
This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outcomes, like new cases and deaths over time. The purpose of this model i
Externí odkaz:
http://arxiv.org/abs/2004.04463
Autor:
Moran, Rosalyn J., Fagerholm, Erik D., Cullen, Maell, Daunizeau, Jean, Richardson, Mark P., Williams, Steven, Turkheimer, Federico, Leech, Rob, Friston, Karl J.
We used Bayesian model inversion to estimate epidemic parameters from the reported case and death rates from seven countries using data from late January 2020 to April 5th 2020. Two distinct generative model types were employed: first a continuous ti
Externí odkaz:
http://arxiv.org/abs/2004.05060