Nature CommunicationsCurrent machine learning systems consume vastly more energy than biological brains. Neuromorphic systems aim to overcome this difference by mimicking the brain’s information coding via discrete voltage spikes.
Antony W. N’dri +3 more
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Predictive coding networks for temporal prediction. [PDF]
PLoS Computational Biology, 2023 One of the key problems the brain faces is inferring the state of the world from a sequence of dynamically changing stimuli, and it is not yet clear how the sensory system achieves this task.
Beren Millidge +4 more
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Role of N-Methyl-D-Aspartate Receptors in Action-Based Predictive Coding Deficits in Schizophrenia [PDF]
Biological Psychiatry, 2017 Published in final edited form as:Biol Psychiatry. 2017 March 15; 81(6): 514–524. doi:10.1016/j.biopsych.2016.06.019.BACKGROUND: Recent theoretical models of schizophrenia posit that dysfunction of the neural mechanisms subserving predictive coding ...
Judith M Ford +2 more
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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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Computational components of visual predictive coding circuitry [PDF]
Frontiers in Neural Circuits, 2023 If a full visual percept can be said to be a ‘hypothesis’, so too can a neural ‘prediction’ – although the latter addresses one particular component of image content (such as 3-dimensional organisation, the interplay between lighting and surface colour ...
Stewart Shipp
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Predictive coding and attention in developmental cognitive neuroscience and perspectives for neurodevelopmental disorders [PDF]
Developmental Cognitive NeuroscienceSensory prediction and repetition suppression are closely related cognitive mechanisms that allow the brain to form predictions about the environment, and guide perception in synergy with attention.
Anne-Lise Marais, Nadege Roche-Labarbe
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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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Correction: On the relationship between predictive coding and backpropagation. [PDF]
PLoS ONE[This corrects the article DOI: 10.1371/journal.pone.0266102.].
Robert Rosenbaum
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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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Predictive coding with spiking neurons and feedforward gist signaling [PDF]
Frontiers in Computational NeurosciencePredictive coding (PC) is an influential theory in neuroscience, which suggests the existence of a cortical architecture that is constantly generating and updating predictive representations of sensory inputs.
Kwangjun Lee +6 more
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