Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Thomas H B FitzGerald"'
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 5, p e1005418 (2017)
Normative models of human cognition often appeal to Bayesian filtering, which provides optimal online estimates of unknown or hidden states of the world, based on previous observations. However, in many cases it is necessary to optimise beliefs about
Externí odkaz:
https://doaj.org/article/51f9d40659904b40ac6d07165e2e3bef
Publikováno v:
Frontiers in Human Neuroscience, Vol 8 (2014)
Postulating that the brain performs approximate Bayesian inference generates principled and empirically testable models of neuronal function – the subject of much current interest in neuroscience and related disciplines. Current formulations addres
Externí odkaz:
https://doaj.org/article/fb6b18a12efe40dcbef87ea8edfbb752
Autor:
Fahmida A Chowdhury, Wessel Woldman, Thomas H B FitzGerald, Robert D C Elwes, Lina Nashef, John R Terry, Mark P Richardson
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e110136 (2014)
Idiopathic generalised epilepsy (IGE) has a genetic basis. The mechanism of seizure expression is not fully known, but is assumed to involve large-scale brain networks. We hypothesised that abnormal brain network properties would be detected using EE
Externí odkaz:
https://doaj.org/article/b26e602419504c12b7746c422adceec6
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e86850 (2014)
There is broad consensus that the prefrontal cortex supports goal-directed, model-based decision-making. Consistent with this, we have recently shown that model-based control can be impaired through transcranial magnetic stimulation of right dorsolat
Externí odkaz:
https://doaj.org/article/7d4cb15e047b42b48542761f019d606e
Publikováno v:
Frontiers in Human Neuroscience, Vol 7 (2013)
There is currently growing interest in, and increasing evidence for, cross-frequency interactions between electrical field oscillations in the brains of various organisms. A number of theories have linked such interactions to crucial features of neur
Externí odkaz:
https://doaj.org/article/25ebbf21bce445489b12596fd05cb2c9
Pupil dilation indexes automatic and dynamic inference about the precision of stimulus distributions
Publikováno v:
Journal of Mathematical Psychology
Learning about the statistics of one’s environment is a fundamental requirement of adaptive behaviour. In this experiment we probe whether pupil dilation in response to brief auditory stimuli reflects automatic statistical learning about the underl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f064900e2fba7d450e21bff6442062b
https://hdl.handle.net/21.11116/0000-0008-0CA1-5
https://hdl.handle.net/21.11116/0000-0008-0CA1-5
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence
Probabilistic models of cognition typically assume that agents make inferences about current states by combining new sensory information with fixed beliefs about the past, an approach known as Bayesian filtering. This is computationally parsimonious,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c18a3993e70e732bb870b2dbf4160250
https://ueaeprints.uea.ac.uk/id/eprint/74305/
https://ueaeprints.uea.ac.uk/id/eprint/74305/
Autor:
Dimitris A. Pinotsis, Ryszard Auksztulewicz, Thomas H. B. FitzGerald, Lucas Pinto, Vladimir Litvak, Karl J. Friston, Jesse P. Geerts
Publikováno v:
NeuroImage
Neuroimage
Neuroimage
Neural models describe brain activity at different scales, ranging from single cells to whole brain networks. Here, we attempt to reconcile models operating at the microscopic (compartmental) and mesoscopic (neural mass) scales to analyse data from m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfddc7ad890d08ed280bd8bfbac50e32
Publikováno v:
Psychopharmacology
Psychopharmacology (Berl)
Psychopharmacology (Berl)
The nascent field of computational psychiatry has undergone exponential growth since its inception in the early 2010s. To date, much of the published work has focused on choice behaviors, which are primarily modeled within a reinforcement learning fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bb6f3edd324a25f31c2a678b5cc46ab
https://hdl.handle.net/21.11116/0000-0004-98BC-D
https://hdl.handle.net/21.11116/0000-0004-98BC-D