Event related potentials during object recognition tasks.

No abstract is available for this paper.

• Publication year

  1995

• Venue

  Brain Research Bulletin

• Publication date

  Unknown publication date

• Fields of study

  Medicine, Psychology

• Identifiers
  DOI 10.1016/0361-9230(95)02023-5PMID 8590074
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Surface energy, its density and distance: New measures with application to human cerebral potentials

  2005cited by this paper
• Responses of neurons in the inferior temporal cortex in short term and serial recognition memory tasks

  2004cited by this paper
• Word and Nonword Repetition Within- and Across-Modality: An Event-Related Potential Study

  1995cited by this paper
• Event-related brain potentials differentiate priming and recognition to familiar and unfamiliar faces.

  1995cited by this paper
• Event-related brain potentials reflect semantic priming in an object decision task.

  1994cited by this paper
• Semantic processing of pictures and spoken words: evidence from event-related brain potentials.

  1994cited by this paper
• Activity of inferior temporal neurons during orientation discrimination with successively presented gratings.

  1994cited by this paper
• Event-related potentials to faces: the effects of priming and recognition.

  1994cited by this paper
• Activity of neurons in anterior inferior temporal cortex during a short- term memory task

  1993cited by this paper
• A neurophysiologic correlate of visual short-term memory in humans.

  1993cited by this paper
• Dissociation of object and spatial processing domains in primate prefrontal cortex.

  1993cited by this paper
• Memory with and without awareness: performance and electrophysiological evidence of savings.

  1992cited by this paper
• Role of inferior temporal neurons in visual memory. I. Temporal encoding of information about visual images, recalled images, and behavioral context.

  1992cited by this paper
• A developmental event-related potential study of picture matching in children, adolescents, and young adults: a replication and extension.

  1992cited by this paper
• N400 to Semantically Anomalous Pictures and Words

  1992cited by this paper
• Activation of the hippocampus in normal humans: a functional anatomical study of memory.

  1992cited by this paper
• Picture naming.

  1992cited by this paper
• The effects of visual stimulation and memory on neurons of the hippocampal formation and the neighboring parahippocampal gyrus and inferior temporal cortex of the primate

  1991cited by this paper
• A neural mechanism for working and recognition memory in inferior temporal cortex.

  1991cited by this paper
• Cognitive event-related potential components during continuous recognition memory for pictures.

  1990cited by this paper
• Event-related potentials and the semantic matching of pictures.

  1990influential reference
• Context effects in stroop-like word and picture processing.

  1989cited by this paper
• Event-related potentials and the semantic matching of faces.

  1989cited by this paper
• ERP components in picture matching in children and adults.

  1988cited by this paper
• Self-Organization and Associative Memory

  1988cited by this paper
• The effects of task on the modulation of event-related potentials by word repetition.

  1988cited by this paper
• Topography of cognition: parallel distributed networks in primate association cortex.

  1988cited by this paper
• A massively parallel architecture for a self-organizing neural pattern recognition machine

  1988cited by this paper
• Dissociation of Semantic Priming, Word and Non-Word Repetition Effects by Event-Related Potentials

  1987cited by this paper
• Event-related potentials during continuous recognition memory.

  1987cited by this paper
• Access to Identity-Specific Semantic Codes from Familiar Faces

  1986cited by this paper
• P300 and recall in an incidental memory paradigm.

  1986cited by this paper
• Recognizing words, pictures, and concepts: A comparison of lexical, object, and reality decisions

  1984cited by this paper
• A memory system in the monkey.

  1982cited by this paper
• Words, pictures, and priming: on semantic activation, conscious identification, and the automaticity of information processing.

  1982cited by this paper
• A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity.

  1980cited by this paper
• Reading senseless sentences: brain potentials reflect semantic incongruity.

  1980cited by this paper
• Inferotemporal neuron activities and color discrimination with delay.

  1980cited by this paper
• Semantic priming effects on picture and word processing

  1979cited by this paper
• Visual cortex ablation and thresholds for successively presented stimuli in rhesus monkeys: I. Orientation

  1978cited by this paper
• Chronometric explorations of mind : the third Paul M. Fitts lectures, delivered at the University of Michigan, September 1976

  1978cited by this paper
• Verbal and motor memory in the amnestic syndrome.

  1970cited by this paper

• A neighbour selection approach for identifying differential networks in conditional functional graphical models

  2026cites this paper
• Efficient Autoregressive Inference for Transformer Probabilistic Models

  2025cites this paper
• Leveraging QEEG neuro-biomarkers of alcohol-related visual cognitive impairment for alcohol abuse and dependence diagnosis.

  2025cites this paper
• L1-Regularized Functional Support Vector Machine

  2025cites this paper
• Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data

  2025cites this paper
• Bayesian Mixed-Effects Models for Multilevel Two-way Functional Data: Applications to EEG Experiments

  2025cites this paper
• DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG

  2025cites this paper
• Multiplex Depth for Network-Valued Data and Applications

  2025cites this paper
• Neural Bridge Processes

  2025influential citation
• Optimal clustering by Lloyd’s algorithm for low-rank mixture model

  2025cites this paper
• Graph Estimation Based on Neighborhood Selection for Matrix-variate Data

  2025cites this paper
• Score-Based Neural Processes

  2025cites this paper
• Variable selection of multiple types of data: a PLS approach

  2025cites this paper
• Texture Analysis of Scalogram Image from Alcoholic EEG Signals using CNN

  2024cites this paper
• Sliced Average Variance Estimation for Tensor Data

  2024cites this paper
• Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes

  2024cites this paper
• Bayesian temporal biclustering with applications to multi-subject neuroscience studies

  2024cites this paper
• Hyperparameter Estimation for Sparse Bayesian Learning Models

  2024cites this paper
• Comparative Analysis of Statistical, Time–Frequency, and SVM Techniques for Change Detection in Nonlinear Biomedical Signals

  2024cites this paper
• A Survey on Time-Series Distance Measures

  2024cites this paper
• Emerging Trends in EEG Signal Processing: A Systematic Review

  2024cites this paper
• Functional support vector machine.

  2024cites this paper
• Inferring causality from mapping continuity changes

  2024cites this paper
• Exact recovery of Granger causality graphs with unconditional pairwise tests

  2023cites this paper
• A Bayesian functional model with multilevel partition priors for group studies in neuroscience

  2023influential citation
• Bayesian Nonparametric Multivariate Mixture of Autoregressive Processes with Application to Brain Signals

  2023cites this paper
• Approximately Bayes-optimal pseudo-label selection

  2023cites this paper
• Model-Based Tensor Low-Rank Clustering

  2023cites this paper
• Latent factor model for multivariate functional data

  2023cites this paper
• Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

  2023influential citation
• Personal familiarity of faces, animals, objects, and scenes: Distinct perceptual and overlapping conceptual representations.

  2023cites this paper
• Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals

  2023cites this paper
• Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data

  2023cites this paper
• Optimality in high-dimensional tensor discriminant analysis

  2023cites this paper
• Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network

  2023cites this paper
• Alcoholism Detection in EEG Signals using GLCM-Based Texture Analysis of Image-Converted Signals

  2023cites this paper
• Domain-independent short-term calibration based hybrid approach for motor imagery electroencephalograph classification: a comprehensive review

  2023cites this paper
• A framework of regularized low-rank matrix models for regression and classification

  2023cites this paper
• A general framework for tensor screening through smoothing

  2022cites this paper
• Mixture Of Functional Graphical Models

  2022cites this paper
• A latent state space model for estimating brain dynamics from electroencephalogram (EEG) data

  2022cites this paper
• Functional Bayesian networks for discovering causality from multivariate functional data

  2022cites this paper
• EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning

  2022cites this paper
• Structured Recognition for Generative Models with Explaining Away

  2022cites this paper
• Robust Regularized Low-Rank Matrix Models for Regression and Classification

  2022cites this paper
• Fast Bayesian inference on spectral analysis of multivariate stationary time series

  2022cites this paper
• Self-Supervised Learning for Electroencephalography

  2022cites this paper
• Compensated Integrated Gradients for Reliable Explanation of Electroencephalogram Signal Classification

  2022cites this paper
• Practical Conditional Neural Processes Via Tractable Dependent Predictions

  2022cites this paper
• Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model

  2022cites this paper
• A Deep Learning-Based Approach for Accurate Diagnosis of Alcohol Usage Severity Using EEG Signals

  2022cites this paper
• Random projection ensemble classification with high‐dimensional time series

  2022cites this paper
• Time Series Data Classification on Grassmann Manifold

  2021cites this paper
• Human Cognition to Analyze Alcohol Use Disorder and Correlation with Internet Gaming Disorder

  2021influential citation
• Measuring dependence between random vectors via optimal transport

  2021cites this paper
• A Fast Transform for Brain Connectivity Difference Evaluation

  2021cites this paper
• Bayesian Regularization for Functional Graphical Models with Applications to Neuroimaging

  2021cites this paper
• Unraveling the brain: a quantitative study of EEG classification techniques

  2021cites this paper
• Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models

  2021cites this paper
• A Basis Approach to Surface Clustering

  2021cites this paper
• Detection of alcoholism using EEG signals and a CNN-LSTM-ATTN network

  2021cites this paper
• Nonparametric and high-dimensional functional graphical models

  2021influential citation
• Algorithmic Approaches for Assessing Irreversibility in Time Series: Review and Comparison

  2021cites this paper
• Conditional independence testing in Hilbert spaces with applications to functional data analysis

  2021cites this paper
• Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals

  2021cites this paper
• Assessing time series irreversibility through micro-scale trends.

  2021cites this paper
• A Portmanteau Local Feature Discrimination Approach to the Classification with High-dimensional Matrix-variate Data

  2021cites this paper
• Sparse multivariate functional principal component analysis

  2021cites this paper
• ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm

  2020cites this paper
• NGBoost Interpretation Using LIME for Alcoholic EEG Signal Based on GLDM Feature Extraction

  2020cites this paper
• FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves

  2020influential citation
• EEG Signal Classification for Alcoholic and Non-Alcoholic Person using Multilevel Wavelet Packet Entropy and Support Vector Machine

  2020cites this paper
• Sufficient dimension folding via tensor inverse regression

  2020cites this paper
• Comparative Analysis of the Efficacy of the EEG-Based Machine Learning Method for the Screening and Diagnosing of Alcohol Use Disorder (AUD)

  2020cites this paper
• Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning

  2020cites this paper
• COT-GAN: Generating Sequential Data via Causal Optimal Transport

  2020cites this paper
• Machine Learning and Deep Learning: Recent Overview in Medical Care

  2020cites this paper
• Bayesian kernel adaptive grouping learning for multi-dimensional datasets

  2020cites this paper
• Effective EEG Connectivity by Sparse Vector Autoregressive Model

  2020cites this paper
• A survey on methods and challenges in EEG based authentication

  2020cites this paper
• The Sylvester Graphical Lasso (SyGlasso)

  2020cites this paper
• Revisiting Our Quantum World

  2020cites this paper
• EFFECTS OF THERAPEUTIC COOLING ON THE VISUAL EVOKED POTENTIALS OF MULTIPLE SCLEROSIS PATIENTS

  2020cites this paper
• Sparse Functional Principal Component Analysis in High Dimensions.

  2020cites this paper
• Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Units

  2020cites this paper
• Uncertainty in Functional Network Representations of Brain Activity of Alcoholic Patients

  2020cites this paper
• Differences in Power Spectral Densities and Phase Quantities Due to Processing of EEG Signals

  2020cites this paper
• Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals

  2020influential citation
• A comparative analysis of signal processing and classification methods for different applications based on EEG signals

  2020cites this paper
• Covariance Estimation for Matrix-valued Data

  2020cites this paper
• Estimating the Nonparametric Regression Function by Using Padé Approximation Based on Total Least Squares

  2020cites this paper
• Human Cognition to Analyse Alcohol Use Disorder and Correlation with Internet Gaming Disorder

  2020influential citation
• Correlation and Relief Attribute Rank-based Feature Selection Methods for Detection of Alcoholic Disorder Using Electroencephalogram Signals

  2020cites this paper
• Parameter clustering in Bayesian functional principal component analysis of neuroscientific data

  2020influential citation
• Classification of high‐dimensional electroencephalography data with location selection using structured spike‐and‐slab prior

  2020cites this paper
• Copula Gaussian Graphical Models for Functional Data

  2020cites this paper
• Doubly functional graphical models in high dimensions

  2020cites this paper
• BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias

  2020influential citation
• Unveiling causal interactions in complex systems

  2020cites this paper
• FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting

  2020cites this paper