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17 papers · ranked by Valyu relevance

01
PPubMed19 Jan 2014
Modelling reading development through phonological decoding and self-teaching: implications for dyslexia Reading Development and Dyslexia
Johannes C. Ziegler, Conrad Perry, Marco Zorzi
The most influential theory of learning to read is based on the idea that children rely on phonological decoding skills to learn novel words. According to the self-teaching hypothesis, each successful decoding encounter with an unfamiliar word provides an opportunity to acquire word-specific orthographic information…
73relevance
02
PPubMed20 Sep 2023
Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior
S. Thomas Christie, Hayden R. Johnson, Paul R. Schrater
Human response times conform to several regularities including the Hick-Hyman law, the power law of practice, speed-accuracy trade-offs, and the Stroop effect. Each of these has been thoroughly modeled in isolation, but no account describes these phenomena as predictions of a unified framework. We provide such a…
70relevance
03
PPubMed29 Jan 2025
Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction
Umesh Uttamrao Shinde, Ravikumar Bandaru
Heavy hexagonal coding is a type of quantum error-correcting coding in which the edges and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many topological code decoders have been presented, it is still difficult to construct the optimal decoder due to leakage errors and qubit…
69relevance
04
PPubMed26 Sep 2017
Encoding and Decoding Models in Cognitive Electrophysiology
Christopher R. Holdgraf, Jochem W. Rieger, Cristiano Micheli, Stephanie Martin + 2 more
'Stephanie Martin' 'Robert T. Knight' 'Frederic E. Theunissen'] Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate…
66relevance
05
PPubMed23 Sep 2022
Distributed information encoding and decoding using self-organized spatial patterns
Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha + 8 more
'Minjun Kwak' 'Yasa Baig' 'Nicole Moiseyev' 'Shari Tian' 'Alison Zhang' 'Neil Zhenqiang Gong' 'Lingchong You'] Title: Summary Dynamical systems often generate distinct outputs according to different initial conditions, and one can infer the corresponding input configuration given an output. This property captures the…
66relevance
06
PPubMed4 Aug 2022
Distributed encoding of curvilinear self-motion across spiral optic flow patterns
Oliver W. Layton, Brett R. Fajen
Self-motion along linear paths without eye movements creates optic flow that radiates from the direction of travel (heading). Optic flow-sensitive neurons in primate brain area MSTd have been linked to linear heading perception, but the neural basis of more general curvilinear self-motion perception is unknown. The…
66relevance
07
PPubMed15 Sep 2024
A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks
Jianxi Huang, Yinghui Chang, Wenyu Li, Jigang Tong + 3 more
'Toshiyo Tamura' 'Yvonne Tran'] Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience. Electroencephalogram (EEG) is commonly used in the relevant fields, because it is a low-cost noninvasive technique with high temporal…
65relevance
08
PPubMed8 Dec 2024
A Comparative Study of Decoders for Liver and Tumor Segmentation Using a Self-ONN-Based Cascaded Framework
Sidra Gul, Muhammad Salman Khan, Md Sakib Abrar Hossain, Muhammad E. H. Chowdhury + 2 more
'Muhammad E. H. Chowdhury' 'Md. Shaheenur Islam Sumon' 'Fabiano Bini'] Background/Objectives: Accurate liver and tumor detection and segmentation are crucial in diagnosis of early-stage liver malignancies. As opposed to manual interpretation, which is a difficult and time-consuming process, accurate tumor detection…
64relevance
09
PPubMed7 Jul 2026
Eye-Movement-Assisted Time–Frequency EEG Decoding for Multimodal Robotic Arm Control
Xiangyang Sun, Wenjun Zhang, Jiahua Wu, Xingwei Xiong + 2 more
Brain-computer interface (BCI) technology has shown potential for future rehabilitation-related and assistive control applications. Nevertheless, single-modality electroencephalography-based motor imagery (EEG-MI) signals are susceptible to interference, whereas existing algorithmic models suffer from limited…
63relevance
10
PPubMed21 Jun 2024
Quantum error-correction using humming sparrow optimization based self-adaptive deep cnn noise correction module
Umesh Uttamrao Shinde, Ravikumar Bandaru
The error correction model’s main purpose in heavy hexagonal quantum codes is to improve their reliability for quantum computing applications. Existing challenges include finding the optimal decoder for quantum error correction in heavy hexagonal codes. This research propels the frontier of quantum error correction…
63relevance
11
PPubMed22 Sep 2023
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
Yizi Zhang, Tianxiao He, Julien Boussard, Charlie Windolf + 9 more
'Olivier Winter' 'Eric Trautmann' 'Noam Roth' 'Hailey Barrell' 'Mark Churchland' 'Nicholas A. Steinmetz' '' 'Erdem Varol' 'Cole Hurwitz' 'Liam Paninski'] Neural decoding and its applications to brain computer interfaces (BCI) are essential for understanding the association between neural activity and behavior. A…
63relevance
12
PPubMed1 Jul 2025
A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets A sticky Poisson Hidden Markov model for spike data
Tianshu Li, Giancarlo La Camera, Luc Berthouze
The application of hidden Markov models (HMMs) to neural data has uncovered hidden states and signatures of neural dynamics that are relevant for sensory and cognitive processes. However, training an HMM on cortical data requires a careful handling of model selection, since models with more numerous hidden states…
63relevance
13
PPubMed28 Aug 2025
A new design of wind power prediction method based on multi-interaction optimization informer model A new design of wind power prediction method based on multi-interaction optimization informer model
Wenjuan Zhou, Feng Huang, Bing Wei, Liang Li + 5 more
'Youyuan Peng' 'Hong You' 'Saman Kasmaiee'] The accurate prediction of wind power is imperative for maintaining grid stability. In order to address the limitations of traditional neural network algorithms, the Informer model is employed for wind power prediction, delivering higher accuracy. However, due to insufficient…
61relevance
14
PPubMed9 Dec 2022
Attention-Based Sequence-to-Sequence Model for Time Series Imputation
Yurui Li, Mingjing Du, Sheng He, Jing-Rong Chang + 1 more
Time series data are usually characterized by having missing values, high dimensionality, and large data volume. To solve the problem of high-dimensional time series with missing values, this paper proposes an attention-based sequence-to-sequence model to imputation missing values in time series (ASSM), which is a…
60relevance
15
PPubMed16 Dec 2020
Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks
Kun Zhou, Wenyong Wang, Teng Hu, Kai Deng
Time series classification and forecasting have long been studied with the traditional statistical methods. Recently, deep learning achieved remarkable successes in areas such as image, text, video, audio processing, etc. However, research studies conducted with deep neural networks in these fields are not abundant.…
58relevance
16
PPubMed15 Jan 2021
Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship Between Technology Use and Nonverbal Decoding Skill
Mollie A. Ruben, Morgan D. Stosic, Jessica Correale, Danielle Blanch-Hartigan
'Danielle Blanch-Hartigan'] Digital technology has facilitated additional means for human communication, allowing social connections across communities, cultures, and continents. However, little is known about the effect these communication technologies have on the ability to accurately recognize and utilize nonverbal…
57relevance
17
PPubMed7 Feb 2025
Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network
Lu Xu, Yixin Ma, Rui Shi, Juanjuan Li + 2 more
'Antonio Guerrieri'] The accurate identification of channel-coding types plays a crucial role in wireless communication systems. The recognition of convolutional codes presents challenges, primarily due to their strong temporal dependencies, varying constraint lengths, and additional contamination from noise. However…
50relevance

Results for self-decoding model

Modelling reading development through phonological decoding and self-teaching: implications for dyslexia Reading Development and Dyslexia

Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior

Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction

Encoding and Decoding Models in Cognitive Electrophysiology

Distributed information encoding and decoding using self-organized spatial patterns

Distributed encoding of curvilinear self-motion across spiral optic flow patterns

A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks

A Comparative Study of Decoders for Liver and Tumor Segmentation Using a Self-ONN-Based Cascaded Framework

Eye-Movement-Assisted Time–Frequency EEG Decoding for Multimodal Robotic Arm Control

Quantum error-correction using humming sparrow optimization based self-adaptive deep cnn noise correction module

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes

A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets A sticky Poisson Hidden Markov model for spike data

A new design of wind power prediction method based on multi-interaction optimization informer model A new design of wind power prediction method based on multi-interaction optimization informer model

Attention-Based Sequence-to-Sequence Model for Time Series Imputation

Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks

Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship Between Technology Use and Nonverbal Decoding Skill

Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network

Modelling reading development through phonological decoding and self-teaching: implications for dyslexia Reading Development and Dyslexia

Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior

Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction

Encoding and Decoding Models in Cognitive Electrophysiology

Distributed information encoding and decoding using self-organized spatial patterns

Distributed encoding of curvilinear self-motion across spiral optic flow patterns

A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks

A Comparative Study of Decoders for Liver and Tumor Segmentation Using a Self-ONN-Based Cascaded Framework

Eye-Movement-Assisted Time–Frequency EEG Decoding for Multimodal Robotic Arm Control

Quantum error-correction using humming sparrow optimization based self-adaptive deep cnn noise correction module

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes

A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets A sticky Poisson Hidden Markov model for spike data

A new design of wind power prediction method based on multi-interaction optimization informer model A new design of wind power prediction method based on multi-interaction optimization informer model

Attention-Based Sequence-to-Sequence Model for Time Series Imputation

Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks

Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship Between Technology Use and Nonverbal Decoding Skill

Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network