Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Stefanics, Gábor
KremláÄek, Jan
and
Czigler, István
2014.
Visual mismatch negativity: a predictive coding view.
Frontiers in Human Neuroscience,
Vol. 8,
Issue. ,
Schröger, Erich
Marzecová, Anna
and
SanMiguel, Iria
2015.
Attention and prediction in human audition: a lesson from cognitive psychophysiology.
European Journal of Neuroscience,
Vol. 41,
Issue. 5,
p.
641.
Chen, Xu
Ran, Guangming
Zhang, Qi
and
Hu, Tianqiang
2015.
Unconscious attention modulates the silencing effect of top-down predictions.
Consciousness and Cognition,
Vol. 34,
Issue. ,
p.
63.
Schubotz, R.I.
2015.
Brain Mapping.
p.
295.
Huettig, Falk
and
Mani, Nivedita
2016.
Is prediction necessary to understand language? Probably not.
Language, Cognition and Neuroscience,
Vol. 31,
Issue. 1,
p.
19.
Schmid, Hans-Jörg
and
Günther, Franziska
2016.
Toward a Unified Socio-Cognitive Framework for Salience in Language.
Frontiers in Psychology,
Vol. 7,
Issue. ,
Ran, Guangming
Chen, Xu
Cao, Xiaojun
and
Zhang, Qi
2016.
Prediction and unconscious attention operate synergistically to facilitate stimulus processing: An fMRI study.
Consciousness and Cognition,
Vol. 44,
Issue. ,
p.
41.
Shirazibeheshti, Amirali
Cooke, Jennifer
Chennu, Srivas
Adapa, Ram
Menon, David K.
Hojjatoleslami, Seyed Ali
Witon, Adrien
Li, Ling
Bekinschtein, Tristan
and
Bowman, Howard
2018.
Placing meta-stable states of consciousness within the predictive coding hierarchy: The deceleration of the accelerated prediction error.
Consciousness and Cognition,
Vol. 63,
Issue. ,
p.
123.
Gordon, Noam
Tsuchiya, Naotsugu
Koenig-Robert, Roger
Hohwy, Jakob
and
Posner, Michael
2019.
Expectation and attention increase the integration of top-down and bottom-up signals in perception through different pathways.
PLOS Biology,
Vol. 17,
Issue. 4,
p.
e3000233.
Fernandes, Eunice G.
Coco, Moreno I.
and
Branigan, Holly P.
2019.
When eye fixation might not reflect online ambiguity resolution in the visual-world paradigm: structural priming following multiple primes in Portuguese.
Journal of Cultural Cognitive Science,
Vol. 3,
Issue. S1,
p.
65.
Abadi, Alireza Khatoon
Yahya, Keyvan
Amini, Massoud
Friston, Karl
and
Heinke, Dietmar
2019.
Excitatory versus inhibitory feedback in Bayesian formulations of scene construction.
Journal of The Royal Society Interface,
Vol. 16,
Issue. 154,
p.
20180344.
Vidal-Gran, Consuelo
Sokoliuk, Rodika
Bowman, Howard
and
Cruse, Damian
2020.
Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing.
eneuro,
Vol. 7,
Issue. 5,
p.
ENEURO.0229-20.2020.
Kubota, Mikio
Pollonini, Luca
and
Zouridakis, George
2020.
Local syntactic violations evoke fast mismatch-related neural activity detected by optical neuroimaging.
Experimental Brain Research,
Vol. 238,
Issue. 11,
p.
2665.
Remmelzwaal, Leendert A.
Mishra, Amit K.
and
Ellis, George F.R.
2021.
Brain-inspired distributed cognitive architecture.
Cognitive Systems Research,
Vol. 66,
Issue. ,
p.
13.
Kubota, Mikio
Matsuzaki, Junko
Dan, Ippeita
Dan, Haruka
and
Zouridakis, George
2021.
Native non-prototypicality in vowel perception induces prominent neuromagnetic mismatch intensities in non-native speakers: a pilot study.
Experimental Brain Research,
Vol. 239,
Issue. 3,
p.
937.
Bowman, H.
Collins, D.J.
Nayak, A.K.
and
Cruse, D.
2023.
Is predictive coding falsifiable?.
Neuroscience & Biobehavioral Reviews,
Vol. 154,
Issue. ,
p.
105404.
Target article
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Related commentaries (30)
Action-oriented predictive processing and the neuroeconomics of sub-cognitive reward
Active inference and free energy
Affect and non-uniform characteristics of predictive processing in musical behaviour
Applications of predictive control in neuroscience
Attention and perceptual adaptation
Attention is more than prediction precision
Backwards is the way forward: Feedback in the cortical hierarchy predicts the expected future
Bayesian animals sense ecological constraints to predict fitness and organize individually flexible reproductive decisions
Distinguishing theory from implementation in predictive coding accounts of brain function
Expecting ourselves to expect: The Bayesian brain as a projector
Extending predictive processing to the body: Emotion as interoceptive inference
God, the devil, and the details: Fleshing out the predictive processing framework
Grounding predictive coding models in empirical neuroscience research
Interactively human: Sharing time, constructing materiality
Maximal mutual information, not minimal entropy, for escaping the “Dark Room”
Neuronal inference must be local, selective, and coordinated
Perception versus action: The computations may be the same but the direction of fit differs
Personal narratives as the highest level of cognitive integration
Prediction, explanation, and the role of generative models in language processing
Predictions in the light of your own action repertoire as a general computational principle
Schizophrenia-related phenomena that challenge prediction error as the basis of cognitive functioning
Skull-bound perception and precision optimization through culture
Sparse coding and challenges for Bayesian models of the brain
The brain is not an isolated “black box,” nor is its goal to become one
The problem with brain GUTs: Conflation of different senses of “prediction” threatens metaphysical disaster
Two kinds of theory-laden cognitive processes: Distinguishing intransigence from dogmatism
Unraveling the mind
What else can brains do?
When the predictive brain gets it really wrong
Whenever next: Hierarchical timing of perception and action
Author response
Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver