Results 71 to 80 of about 460,640 (165)
The predictive coding theory is currently widely accepted as the theoretical basis of perception and chronic perceptual disorders are explained as the maladaptive compensation of the brain to a prediction error. Although this gives us a general framework
Anusha Yasoda-Mohan, Sven Vanneste
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Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction [PDF]
We propose a new neurally-inspired model that can learn to encode the global relationship context of visual events across time and space and to use the contextual information to modulate the analysis by synthesis process in a predictive coding framework.
Lee, Tai Sing +3 more
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Predicted missing information biases ensemble perception of temporally ordered facial expressions
By observing dynamically changing facial expressions, humans can use a specialized capacity known as ensemble coding to effortlessly obtain a summary representation of an individual’s emotional state.
Jiahao Lu, Jun Wang
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A predictive coding account of bistable perception - a model-based fMRI study.
In bistable vision, subjective perception wavers between two interpretations of a constant ambiguous stimulus. This dissociation between conscious perception and sensory stimulation has motivated various empirical studies on the neural correlates of ...
Veith Weilnhammer +4 more
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Encoding Longer-Term Contextual Information with Predictive Coding and Ego-Motion
Studies suggest that, within the hierarchical architecture, the topological higher level possibly represents the scenarios of the current sensory events with slower changing activities.
Junpei Zhong +3 more
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Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction
Spatiotemporal sequence prediction is an important problem in deep learning. We study next-frame(s) video prediction using a deep-learning-based predictive coding framework that uses convolutional, long short-term memory (convLSTM) modules.
Bayoumi, Magdy +2 more
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PointMap: A real-time memory-based learning system with on-line and post-training pruning [PDF]
Also published in the International Journal of Hybrid Intelligent Systems, Volume 1, January, 2004A memory-based learning system called PointMap is a simple and computationally efficient extension of Condensed Nearest Neighbor that allows the user to ...
Carpenter, Gail, Kopco, Norbert
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Incremental Art: A Neural Network System for Recognition by Incremental Feature Extraction [PDF]
Incremental ART extends adaptive resonance theory (ART) by incorporating mechanisms for efficient recognition through incremental feature extraction.
Aguilar, Mario J., Ross, William D.
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Lisa Feldman-Barrett, who has promoted a psychological constructivism theory of affect, recently proposed the Embodied Predictive Interoception Coding (EPIC) model of affect, based on the perspective of predictive coding.
Hideki Ohira
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Speech Signal Compression Using Wavelet AndLinear Predictive Coding
A new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet ...
Ahlam Hanoon, Dr. Tarik Zeyad
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