Cargando…

Brain Functional Representation of Highly Occluded Object Recognition

Recognizing highly occluded objects is believed to arise from the interaction between the brain’s vision and cognition-controlling areas, although supporting neuroimaging data are currently limited. To explore the neural mechanism during this activity, we conducted an occlusion object recognition ex...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Bao, Zhang, Chi, Cao, Long, Chen, Panpan, Liu, Tianyuan, Gao, Hui, Wang, Linyuan, Yan, Bin, Tong, Li
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605645/ https://www.ncbi.nlm.nih.gov/pubmed/37891756 http://dx.doi.org/10.3390/brainsci13101387

Ejemplares similares

Learning view invariant recognition with partially occluded objects
por: Tromans, James M., et al.
Publicado: (2012)

Dynamic representation of partially occluded objects in primate prefrontal and visual cortex
por: Fyall, Amber M, et al.
Publicado: (2017)

Recurrent processing improves occluded object recognition and gives rise to perceptual hysteresis
por: Ernst, Markus R., et al.
Publicado: (2021)

Embodied Object Representation Learning and Recognition
por: Van de Maele, Toon, et al.
Publicado: (2022)

Neural Representations that Support Invariant Object Recognition
por: Goris, Robbe L. T., et al.
Publicado: (2009)

Study on Representation Invariances of CNNs and Human Visual Information Processing Based on Data Augmentation
por: Cui, Yibo, et al.
Publicado: (2020)

Visuo-haptic multisensory object recognition, categorization, and representation
por: Lacey, Simon, et al.
Publicado: (2014)

Recognition of Occluded Goods under Prior Inference Based on Generative Adversarial Network
por: Cao, Mingxuan, et al.
Publicado: (2023)

High-Level Visual Encoding Model Framework with Hierarchical Ventral Stream-Optimized Neural Networks
por: Xiao, Wulue, et al.
Publicado: (2022)

Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks
por: Bao, Guangcheng, et al.
Publicado: (2021)

Size-Sensitive Perceptual Representations Underlie Visual and Haptic Object Recognition
por: Craddock, Matt, et al.
Publicado: (2009)

Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation
por: Wei, Wang, et al.
Publicado: (2019)

Representational Content of Oscillatory Brain Activity during Object Recognition: Contrasting Cortical and Deep Neural Network Hierarchies
por: Reddy, Leila, et al.
Publicado: (2021)

Spatial Attention Frustum: A 3D Object Detection Method Focusing on Occluded Objects
por: He, Xinglei, et al.
Publicado: (2022)

Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition
por: Bao, Guangcheng, et al.
Publicado: (2021)

Real-Time Classification of Motor Imagery Using Dynamic Window-Level Granger Causality Analysis of fMRI Data
por: Liu, Tianyuan, et al.
Publicado: (2023)

Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
por: Pei, Zhao, et al.
Publicado: (2019)

Field of Attention for Instantaneous Object Recognition
por: Yao, Jian-Gao, et al.
Publicado: (2011)

Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition
por: Bao, Guangcheng, et al.
Publicado: (2022)

The representation of colored objects in macaque color patches
por: Chang, Le, et al.
Publicado: (2017)

On the similarities of representations in artificial and brain neural networks for speech recognition
por: Wingfield, Cai, et al.
Publicado: (2022)

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
por: Cadieu, Charles F., et al.
Publicado: (2014)

Spontaneous representation of numerosity zero in a deep neural network for visual object recognition
por: Nasr, Khaled, et al.
Publicado: (2021)

Intermediate, Wholistic Shape Representation in Object Recognition: A Pre-Attentive Stage of Processing?
por: Hollis, Jarrod, et al.
Publicado: (2021)

Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity
por: Lee, Geonu, et al.
Publicado: (2022)

An occluded cherry tomato recognition model based on improved YOLOv7
por: Hou, Guangyu, et al.
Publicado: (2023)

Improved Camshift object tracking algorithm in occluded scenes based on AKAZE and Kalman
por: Pei, Lili, et al.
Publicado: (2021)

Occluded object detection and exposure in cluttered environments with automated hyperspectral anomaly detection
por: Hanson, Nathaniel, et al.
Publicado: (2022)

The spatiotemporal neural dynamics of object location representations in the human brain
por: Graumann, Monika, et al.
Publicado: (2022)

Representation of multiple objects in macaque category-selective areas
por: Bao, Pinglei, et al.
Publicado: (2018)

Object models and object representation: Tutorial 4
por: Allinson, Julie, et al.
Publicado: (2007)

Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery
por: Roldan, Stephanie M.
Publicado: (2017)

Intermittent energy restriction changes the regional homogeneity of the obese human brain
por: Li, Zhonglin, et al.
Publicado: (2023)

Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
por: Zbären, Gabrielle Aude, et al.
Publicado: (2023)

HROM: Learning High-Resolution Representation and Object-Aware Masks for Visual Object Tracking
por: Zhang, Dawei, et al.
Publicado: (2020)

Dissociable Neural Representations of Adversarially Perturbed Images in Convolutional Neural Networks and the Human Brain
por: Zhang, Chi, et al.
Publicado: (2021)

Direct training high-performance spiking neural networks for object recognition and detection
por: Zhang, Hong, et al.
Publicado: (2023)

Improvement of the suture-occluded method in rat models of focal cerebral ischemia-reperfusion
por: ZHANG, PING, et al.
Publicado: (2014)

A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity
por: Ma, Shuxiao, et al.
Publicado: (2022)

A Visual Encoding Model Based on Contrastive Self-Supervised Learning for Human Brain Activity along the Ventral Visual Stream
por: Li, Jingwei, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_kdso5mttp90mk3f2179lra8iot