Configural relations in humans and deep convolutional neural networks

Deep convolutional neural networks (DCNNs) have attracted considerable interest as useful devices and as possible windows into understanding perception and cognition in biological systems. In earlier work, we showed that DCNNs differ dramatically from human perceivers in that they have no sensitivit...

Full description

Bibliographic Details
Published in:	Frontiers in Artificial Intelligence
Main Authors:	Nicholas Baker, Patrick Garrigan, Austin Phillips, Philip J. Kellman
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-03-01
Subjects:	perception of relations deep convolutional neural networks DCNNs deep learning abstract relations visual relations
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2022.961595/full

Similar Items

Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics
by: Mohamed Farag Taha, et al.
Published: (2022-01-01)

Ground Penetrating Radar in Coastal Hazard Mitigation Studies Using Deep Convolutional Neural Networks
by: Abhishek Kumar, et al.
Published: (2022-09-01)

Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images
by: Xijie Cheng, et al.
Published: (2022-03-01)

Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification
by: Chuan Tang, et al.
Published: (2023-01-01)

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks
by: Shipu Xu, et al.
Published: (2019-01-01)

PSI Analysis of Adversarial-Attacked DCNN Models
by: Youngseok Lee, et al.
Published: (2023-08-01)

Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features
by: Xuedong Yao, et al.
Published: (2019-06-01)

Multi-Center Agent Loss for Visual Identification of Chinese Simmental in the Wild
by: Jianmin Zhao, et al.
Published: (2022-02-01)

Deep-Learning-Based Marine Aquaculture Zone Extractions From Dual-Polarimetric SAR Imagery
by: Wantai Chen, et al.
Published: (2024-01-01)

Testing convolutional neural network based deep learning systems: a statistical metamorphic approach
by: Faqeer ur Rehman, et al.
Published: (2025-01-01)

A Resources-Efficient Configurable Accelerator for Deep Convolutional Neural Networks
by: Xianghong Hu, et al.
Published: (2019-01-01)

Comparison of CNNs and Vision Transformers-Based Hybrid Models Using Gradient Profile Loss for Classification of Oil Spills in SAR Images
by: Abdul Basit, et al.
Published: (2022-04-01)

An Effective Bio-Signal-Based Driver Behavior Monitoring System Using a Generalized Deep Learning Approach
by: Atif Alamri, et al.
Published: (2020-01-01)

Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery
by: Fulin Xia, et al.
Published: (2022-07-01)

Flow Field Estimation with Distortion Correction Based on Multiple Input Deep Convolutional Neural Networks and Hartmann–Shack Wavefront Sensing
by: Zeyu Gao, et al.
Published: (2024-05-01)

Using Deep Convolutional Neural Networks for Earthquake and Explosion Classification
by: Mingquan Hong, et al.
Published: (2025-01-01)

CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition
by: Zhouyu Ji, et al.
Published: (2025-12-01)

Application of deep convolutional networks for improved risk assessments of post-wildfire drinking water contamination
by: Andres Schmidt, et al.
Published: (2023-03-01)

Shape from dots: a window into abstraction processes in visual perception
by: Nicholas Baker, et al.
Published: (2024-05-01)

Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network
by: Lili Xu, et al.
Published: (2023-11-01)

Enhanced Skin Lesion Classification Using Deep Learning, Integrating with Sequential Data Analysis: A Multiclass Approach
by: Azmath Mubeen, et al.
Published: (2025-01-01)

Applications of deep convolutional neural networks to digitized natural history collections
by: Eric Schuettpelz, et al.
Published: (2017-11-01)

Convolutional Neural-Network-Based Reverse-Time Migration with Multiple Reflections
by: Shang Huang, et al.
Published: (2023-04-01)

Knowledge-Driven Network for Object Detection
by: Yundong Wu, et al.
Published: (2021-06-01)

Early detection of glaucoma: feature visualization with a deep convolutional network
by: Jisy N K, et al.
Published: (2024-12-01)

Illation of Video Visual Relation Detection Based on Graph Neural Network
by: Mingcheng Qu, et al.
Published: (2021-01-01)

Assessing Deep Convolutional Neural Networks and Assisted Machine Perception for Urban Mapping
by: Yang Shao, et al.
Published: (2021-04-01)

Pruning optimization based on deep convolution neural network
by: Ma Zhinan, et al.
Published: (2018-12-01)

Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces
by: Yiying Song, et al.
Published: (2021-01-01)

Deepfake image detection using a deep hybrid convolutional neural network
by: Fahimeh Bagherzadeh, et al.
Published: (2023-12-01)

Sesame Disease Detection Using a Deep Convolutional Neural Network
by: ABEJE Bekalu Tadele, et al.
Published: (2022-10-01)

Hybridized Hierarchical Deep Convolutional Neural Network for Sports Rehabilitation Exercises
by: Dapeng Tang
Published: (2020-01-01)

Alcoholism via 6-layer customized deep convolution neural network
by: Ziquan Zhu
Published: (2021-06-01)

Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression
by: Yansel Gonzalez Tejeda, et al.
Published: (2024-11-01)

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
by: Seyedsaman Emami, et al.
Published: (2023-01-01)

A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection
by: Noppadol Maneerat, et al.
Published: (2025-06-01)

Flower classification using deep convolutional neural networks
by: Hazem Hiary, et al.
Published: (2018-09-01)

Deep Transfer Learning Strategy to Diagnose Eye-Related Conditions and Diseases: An Approach Based on Low-Quality Fundus Images
by: Gabriel D. A. Aranha, et al.
Published: (2023-01-01)

Solving multiple travelling salesman problem through deep convolutional neural network
by: Zhengxuan Ling, et al.
Published: (2023-03-01)

MICAnet: A Deep Convolutional Neural Network for mineral identification on Martian surface
by: Priyanka Kumari, et al.
Published: (2024-09-01)