What we think about when we think about predictive processing.
What we think about when we think about predictive processing.
复制标题
当我们考虑预测处理时我们在想什么。
DOI：
10.1037/abn0000632
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发表时间：
2020-08
影响因子：
4.6
通讯作者：
MacDonald AW
中科院分区：
文献类型：
--
作者：
Corlett PR;Mohanty A;MacDonald AW
The predictive processing framework (PPF) attempts to tackle deep philosophical problems, including how the brain generates consciousness, how our bodies influence cognition, and how cognition alters perception. As such, it provides a zeitgeist that incorporates concepts from physics, computer science, mathematics, artificial intelligence, economics, psychology and neuroscience, leveraging and, in turn, influencing recent advances in reinforcement learning and deep-learning that underpin the artificial intelligence in many of the applications with which we interact daily. PPF purports to provide no less than a grand unifying theory of mind and brain function, underwriting an account of perception, cognition and action and their dynamic relationships. While mindful of legitimate criticisms of the framework, to which we return below, an important test of PFF is its utility in accounting for individual differences such as psychopathology. These, then, are the central concern of this special issue of the Journal of Abnormal Psychology: what is the state of the art with regards to applying the PPF to the symptoms of mental illness? How might we leverage its insights to elevate and systematize our explanations, and ideally treatments, of those symptoms? And, conversely, can we refine and refute aspects of the PPF by considering the particular challenges that our patients experience as departures from the parametric estimates of the PPF?
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影响因子：
19.9
作者：
Fiser, Jozsef;Berkes, Pietro;Orban, Gergo;Lengyel, Mate
通讯作者：
Lengyel, Mate
DOI：
10.1098/rstb.2016.0011
发表时间：
2016-11-19
影响因子：
6.3
作者：
Barrett, Lisa Feldman;Quigley, Karen S.;Hamilton, Paul
通讯作者：
Hamilton, Paul
DOI：
10.1098/rstb.2005.1622
发表时间：
2005-04-29
影响因子：
6.3
作者：
Friston, KJ
通讯作者：
Friston, KJ
影响因子：
12.8
作者：
Cisler JM;Koster EH
通讯作者：
Koster EH
影响因子：
4.6
作者：
Donaldson, Kayla R;Novak, Keisha D;Foti, Dan;Marder, Maya;Perlman, Greg;Kotov, Roman;Mohanty, Aprajita
通讯作者：
Mohanty, Aprajita