Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Peggy Seriès"'
Autor:
Simon Valentin, Steven Kleinegesse, Neil R Bramley, Peggy Seriès, Michael U Gutmann, Christopher G Lucas
Publikováno v:
eLife, Vol 13 (2024)
Computational models are powerful tools for understanding human cognition and behavior. They let us express our theories clearly and precisely and offer predictions that can be subtle and often counter-intuitive. However, this same richness and abili
Externí odkaz:
https://doaj.org/article/789aedb26b3f4ed884d14ee6749e3593
Autor:
Jakub Onysk, Peggy Seriès
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0276750 (2022)
Eating disorders are associated with one of the highest mortality rates among all mental disorders, yet there is very little research about them within the newly emerging and promising field of computational psychiatry. As such, we focus on investiga
Externí odkaz:
https://doaj.org/article/bc83d6ada3104d89bb8da011dd122b84
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009006 (2021)
Autism spectrum disorders have been proposed to arise from impairments in the probabilistic integration of prior knowledge with sensory inputs. Circular inference is one such possible impairment, in which excitation-to-inhibition imbalances in the ce
Externí odkaz:
https://doaj.org/article/04eacead728345e8ad64a9730fe88531
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243100 (2020)
BackgroundDeficits in visual statistical learning and predictive processing could in principle explain the key characteristics of inattention and distractibility in attention deficit hyperactivity disorder (ADHD). Specifically, from a Bayesian perspe
Externí odkaz:
https://doaj.org/article/6e3d1149e5244c5598f88ad70884e062
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
Abstract Depression is a debilitating condition with a high prevalence. Depressed patients have been shown to be diminished in their ability to integrate their reinforcement history to adjust future behaviour during instrumental reward learning tasks
Externí odkaz:
https://doaj.org/article/abd17d754e1743dea3b72dfc1464a2e8
Publikováno v:
eLife, Vol 7 (2018)
Recent theories propose that schizophrenia/schizotypy and autistic spectrum disorder are related to impairments in Bayesian inference that is, how the brain integrates sensory information (likelihoods) with prior knowledge. However existing accounts
Externí odkaz:
https://doaj.org/article/ef73656e5027491eb323fa55a49e231f
Publikováno v:
Frontiers in Integrative Neuroscience, Vol 12 (2018)
Task-switching is an important cognitive skill that facilitates our ability to choose appropriate behavior in a varied and changing environment. Task-switching training studies have sought to improve this ability by practicing switching between multi
Externí odkaz:
https://doaj.org/article/4dacb5744f79469695ec3c7f659ce6d3
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 5, p e1003605 (2014)
Optimists hold positive a priori beliefs about the future. In Bayesian statistical theory, a priori beliefs can be overcome by experience. However, optimistic beliefs can at times appear surprisingly resistant to evidence, suggesting that optimism mi
Externí odkaz:
https://doaj.org/article/814fdeca47ac44768e9ec6abf64c9ae9
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e87178 (2014)
Topographic maps are an often-encountered feature in the brains of many species, yet there are no standard, objective procedures for quantifying topography. Topographic maps are typically identified and described subjectively, but in cases where the
Externí odkaz:
https://doaj.org/article/f0499c39cd924231bda3a8607c018f7b
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 7, p e1003134 (2013)
Several theories propose that the cortex implements an internal model to explain, predict, and learn about sensory data, but the nature of this model is unclear. One condition that could be highly informative here is Charles Bonnet syndrome (CBS), wh
Externí odkaz:
https://doaj.org/article/5c0e065beaab41be8931464a1e7e0e1d