Predictive Coding and the Neural Response to Predictable Stimuli

Stimulus predictability reduces responses in primary visual cortex on page 2960. See the article "Striatal prediction error modulates cortical coupling" on ...

Predictive Coding and the Neural Response to Predictable Stimuli. Lee de-Wit, Bart Machilsen and Tom Putzeys. Journal of Neuroscience 30 June 2010, 30 (26) ...

Predictive coding and the neural response to predictable stimuli.

Comments on the articles by A. Alink et al. (see record 2010-04541-024) & H. E. M. den Ouden et al. (see record 2010-04802-023).

Predictive coding and the neural response to predictable stimuli

Predictive coding and the neural response to predictable stimuli.

Predictive Coding and the Neural Response to Predictable Stimuli

Predictive Coding and the Neural Response to Predictable. Stimuli. Lee de-Wit, Bart Machilsen, and Tom Putzeys. Laboratory of Experimental ...

Neurophysiological principles underlying predictive coding during ...

A major concept in cognitive neuroscience is that brains are “prediction machines”. Yet, conceptual frameworks on how perception and action ...

Predictive Coding with Spiking Neural Networks: a Survey - arXiv

In recent years, there has been a surge of interest in predictive coding and predictive processing approaches as theories of brain function [48, ...

Predictive learning shapes the representational geometry of ... - Nature

Predictive coding theories propose that the brain constantly updates internal models to minimize prediction errors and optimize sensory ...

Theory of Mind: A Neural Prediction Problem - Princeton Math

Predictive coding and the neural response to predictable stimuli. J. Neurosci. 30, 8702–8703. Deen, B., and Saxe, R.R. (2012). Neural correlates of social ...

The Challenges of Proving Predictive Coding - Simons Foundation

When the same stimulus is repeatedly shown, for example, the neural response ... prediction error: A repeated stimulus becomes very predictable.

Deep predictive coding accounts for emergence of complex neural ...

We developed a Predictive Coding methodology for building scalable networks that mimic deep sensory cortical hierarchies, perform inference on the causes of ...

Predictive coding of natural images by V1 firing rates and rhythmic ...

Uran, Peter et al. use self-supervised neural networks to quantify stimulus predictability in natural images to investigate the context-dependence of. V1 ...

Predictive coding is a consequence of energy efficiency in recurrent ...

It postulates that the brain continuously inhibits predictable sensory input, sparing computational resources for input that promises high ...

Toward a unified theory of efficient, predictive, and sparse coding

We show that optimizing neural responses to encode predictive information can lead them to either correlate or decorrelate their inputs, ...

Neural markers of predictive coding under perceptual uncertainty ...

But it is not known how these signals integrate with each other and how this depends on the perceived stimuli's predictability. 'Predictive ...

Deep Gated Hebbian Predictive Coding Accounts for Emergence of ...

In humans, predictive coding is supported by reports of spatially occluded scene information in V1 (Smith and Muckli, 2010) and suppressed sensory responses to ...

Predictive Coding Theories of Cortical Function

The neural activities at each level representing the beliefs about the hidden causes are jointly influenced by both the top-down predictions and ...

Predictive Coding with Neural Transmission Delays - eNeuro

For a time-varying stimulus, such as a moving object, this means that backward predictions become misaligned with new sensory input. We present ...

Predictive Coding of Novel versus Familiar Stimuli in the Primary ...

Decoding analysis demonstrated that both the transient and sustained responses encoded information about stimulus identity. We conclude that the ...

Attention promotes the neural encoding of prediction errors - PLOS

We found that surprising stimuli evoked neural responses that were encoded according to the difference between predicted and observed stimulus features, and ...