'Bodily precision': a predictive coding account of individual differences in interoceptive accuracy by Ainley, V, Apps, M, Fotopoloou, A, Tsakiris, M

“…Building on recent models that describe interoception within the free energy/predictive coding framework, this paper applies similar principles to IAcc, proposing that individual differences in IAcc depend on ‘precision’ in interoceptive systems, i.e. the relative weight accorded to ‘prior’ representations and ‘prediction errors’ (that part of incoming interoceptive sensation not accounted for by priors), at various levels within the cortical hierarchy and between modalities. …”

Virtual Reality Video Intraframe Prediction Coding Based on Convolutional Neural Network by LIU Yue-hong, NIU Shao-hua, SHEN Xian-hao

“…In order to improve the performance of virtual reality video intraframe prediction coding,convolutional neural network algorithm is used to select video frame coding unit(CU) to reduce the complexity of video image coding.Firstly,quantization parameters are set to obtain the virtual reality video frame samples,then the image coding tree is constructed,and the convolutional neural network (CNN) frame coding unit optimization model is established.The image brightness of frame samples is taken as the CNN input,combined with the image rate distortion cost threshold,the optimization results of the frame coding unit are obtained through training.Using CNN training optimization,the coding tree(CTU) structure with different depths and an appro-priate number of CU modules can be obtained according to the intraframe coding requirements of different texture modules of the image.Experiments show that,by reasonably setting the convolution kernel size and quantization parameters,CNN algorithm can obtain better image quality and less coding time than common video intraframe prediction coding algorithms.…”
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Classification of heart sounds and murmurs based on linear predictive coding and artificial neural networks / by 426413 Zamri Mohd. Zain, Sheikh Hussain Shaikh Salleh, 1958-, International Congress on Biological and Medical Engineering (2003 : Singapore)

Speaker recognizer based on linear predictive coding (LPC) and dynamic time warping (DTW) / by 253348 Ahmad Idil Abdul Rahman

Pengecaman nota muzik menggunakan teknik linear predictive coding artificial neural network / by Noor Aina Zaidan, author, Md. Sah Salam, Fakulti Sains Komputer dan Sistem Maklumat

Pengecaman nota muzik menggunakan teknik linear predictive coding artificial neural network / by Noor Aina Zaidan, author, Md. Sah Salam, Fakulti Sains Komputer dan Sistem Maklumat

Speaker identification based on linear predictive coding (LPC) & dynamic time warping (DTW) / by 387156 Mohd. Sharif Zakaria

Real time implementation of linear predictive coding using tms320c31 / by 436265 Mohammad Harris Mokhtar

NEURONAL RESPONSES TO OMITTED TONES IN THE AUDITORY BRAIN: A NEURONAL CORRELATE FOR PREDICTIVE CODING by Ana Belén Lao-Rodríguez, Karol Przewrocki, David Pérez-González, Artoghrul Alishbayli, Evrim Yilmaz, Manuel S. Malmierca, Bernhard Englitz

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Testing predictive coding theories of autism spectrum disorder using models of active inference. by Tom Arthur, Sam Vine, Gavin Buckingham, Mark Brosnan, Mark Wilson, David Harris

“…Several competing neuro-computational theories of autism have emerged from predictive coding models of the brain. To disentangle their subtly different predictions about the nature of atypicalities in autistic perception, we performed computational modelling of two sensorimotor tasks: the predictive use of manual gripping forces during object lifting and anticipatory eye movements during a naturalistic interception task. …”
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Continual learning with hebbian plasticity in sparse and predictive coding networks: a survey and perspective by Ali Safa

“…In order to build the next generation of neuromorphic AI systems that can continuously learn at the edge, a growing number of research groups are studying the use of sparse and predictive Coding (PC)-based Hebbian neural network architectures and the related spiking neural networks (SNNs) equipped with STDP learning. …”
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Neural markers of predictive coding under perceptual uncertainty revealed with Hierarchical Frequency Tagging by Noam Gordon, Roger Koenig-Robert, Naotsugu Tsuchiya, Jeroen JA van Boxtel, Jakob Hohwy

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Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing by Borna Barahimi, Hina Tabassum, Mohammad Omer, Omer Waqar

“…In this paper, we introduce a novel SSL framework called Context-Aware Predictive Coding (CAPC), which effectively learns from unlabelled data and adapts to diverse environments. …”
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A predictive coding perspective on beta oscillations during sentence-level language comprehension by Ashley Glen Lewis, Ashley Glen Lewis, Ashley Glen Lewis, Jan Mathijs eSchoffelen, Jan Mathijs eSchoffelen, Herbert eSchriefers, Marcel eBastiaansen, Marcel eBastiaansen

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A predictive coding approach to modelling the perceived complexity of popular music drum patterns by Olivier Senn

Subjects: “…Predictive coding…”
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An Efficient Lossless Compression Method for Periodic Signals Based on Adaptive Dictionary Predictive Coding by Shaofei Dai, Wenbo Liu, Zhengyi Wang, Kaiyu Li, Pengfei Zhu, Ping Wang

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A predictive coding approach to psychedelic virtual-induced hallucinations and creative cognition in aging by Giulia Magni, Cosimo Tuena, Giuseppe Riva, Giuseppe Riva

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fMRI reveals language-specific predictive coding during naturalistic sentence comprehension by Shain, Cory, Blank, Idan Asher, van Schijndel, Marten, Schuler, William, Fedorenko, Evelina

“…© 2019 Elsevier Ltd Much research in cognitive neuroscience supports prediction as a canonical computation of cognition across domains. Is such predictive coding implemented by feedback from higher-order domain-general circuits, or is it locally implemented in domain-specific circuits? …”
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Brain predictive coding processes are associated to COMT gene Val158Met polymorphism by Bonetti, L, Bruzzone, SEP, Sedghi, NA, Haumann, NT, Paunio, T, Kantojärvi, K, Kliuchko, M, Vuust, P, Brattico, E

Rhythmic complexity and predictive coding: A novel approach to modeling rhythm and meter perception in music by Peter eVuust, Peter eVuust, Maria eWitek

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