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Predictive coding I: Introduction [PDF]
Philosophy Compass, 2023 Abstract Predictive coding – sometimes also known as ‘predictive processing’, ‘free energy minimisation’, or ‘prediction error minimisation’ – claims to offer a complete, unified theory of cognition that stretches all the way from cellular biology to phenomenology.
Sprevak, Mark
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Relating sparse and predictive coding to divisive normalization. [PDF]
PLoS Computational BiologySparse coding, predictive coding and divisive normalization have each been found to be principles that underlie the function of neural circuits in many parts of the brain, supported by substantial experimental evidence.
Yanbo Lian, Anthony N Burkitt
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Predictive Coding and Binocular Rivalry
i-Perception, 2011 The notion of unconscious perceptual inference, particularly in the shape of predictive coding, promises to address many of the problems of visual perception that has long preoccupied philosophy.
Jakob Hohwy
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Predictive coding in psychopathology: mechanistic model or metaphorical re-description? [PDF]
Frontiers in Human NeurosciencePredictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a hierarchical inference system that continuously minimizes the mismatch between predicted and actual sensory input.
Albandri Sultan Alotaibi
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Complementing predictive coding [PDF]
Frontiers in Psychology, 2012 A commentary on Whatever next? Predictive brains, situated agents, and the future of cognitive science by Clark, A. (in press). Behav. Brain Sci. Clark (in press) discusses virtues of the neurocomputational perspective of predictive coding1, as well as evidential, conceptual, and methodological limits.
Will eNewsome
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Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. [PDF]
PLoS Computational BiologyPredictive coding is a prominent theoretical framework for understanding hierarchical sensory processing in the brain, yet how it could be implemented in networks of cortical neurons is still unclear.
Mingfang Zhang +2 more
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Predictive coding is not a theory of anticipation [PDF]
Frontiers in Human NeuroscienceRomain Brette
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Learning probability distributions of sensory inputs with Monte Carlo predictive coding. [PDF]
PLoS Computational BiologyIt has been suggested that the brain employs probabilistic generative models to optimally interpret sensory information. This hypothesis has been formalised in distinct frameworks, focusing on explaining separate phenomena.
Gaspard Oliviers +2 more
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Language experience shapes predictive coding of rhythmic sound sequences [PDF]
eLifePerceptual systems heavily rely on prior knowledge and predictions to make sense of the environment. Predictions can originate from multiple sources of information, including contextual short-term priors, based on isolated temporal situations, and ...
Piermatteo Morucci +4 more
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Corticofugal regulation of predictive coding
eLife, 2022 Sensory systems must account for both contextual factors and prior experience to adaptively engage with the dynamic external environment. In the central auditory system, neurons modulate their responses to sounds based on statistical context.
Alexandria MH Lesicko +4 more
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