Results 1 to 10 of about 171,853 (149)

Predictive Coding Light. [PDF]

Nat Commun
Current 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.
N'dri AW, Barbier T, Teulière C, Triesch J.   +3 more
europepmc   +5 more sources

Predictive coding networks for temporal prediction. [PDF]

PLoS Comput Biol, 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.
Millidge B, Tang M, Osanlouy M, Harper NS, Bogacz R.   +4 more
europepmc   +5 more sources

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
doaj   +3 more sources

A predictive coding model of the N400. [PDF]

Cognition, 2023
Abstract The N400 event-related component has been widely used to investigate the neural mechanisms underlying real-time language comprehension. However, despite decades of research, there is still no unifying theory that can explain both its temporal dynamics and functional properties.
Nour Eddine S, Brothers T, Wang L, Spratling M, Kuperberg GR.   +4 more
europepmc   +6 more sources

Neural Elements for Predictive Coding [PDF]

Frontiers in Psychology, 2016
Predictive coding theories of sensory brain function interpret the hierarchical construction of the cerebral cortex as a Bayesian, generative model capable of predicting the sensory data consistent with any given percept. Predictions are fed backwards in
Stewart SHIPP, Stewart SHIPP
doaj   +3 more sources

The Predictive Coding Account of Psychosis [PDF]

Biological Psychiatry, 2018
Fueled by developments in computational neuroscience, there has been increasing interest in the underlying neurocomputational mechanisms of psychosis. One successful approach involves predictive coding and Bayesian inference. Here, inferences regarding the current state of the world are made by combining prior beliefs with incoming sensory signals ...
Philipp Sterzer, Rick A Adams, Paul C Fletcher   +2 more
exaly   +6 more sources

Computational components of visual predictive coding circuitry. [PDF]

Front 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 ...
Shipp S.
europepmc   +2 more sources

Relating sparse and predictive coding to divisive normalization. [PDF]

PLoS Comput Biol
Sparse 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.
Lian Y, Burkitt AN.
europepmc   +2 more sources

Predictive coding and attention in developmental cognitive neuroscience and perspectives for neurodevelopmental disorders. [PDF]

Dev Cogn Neurosci
Sensory 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.
Marais AL, Roche-Labarbe N.
europepmc   +2 more sources

Predictive coding in psychopathology: mechanistic model or metaphorical re-description? [PDF]

Front Hum Neurosci
Predictive 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.
Alotaibi AS.
europepmc   +2 more sources