Article

Activated Neuron Group Based Extract-Remember Model for Humanlike Object Recognition

2022-08-30

Abstract excerpt

Convolutional neural networks (CNNs) exhibit similarities to the human visual cortex, such as in structure and response to images. However, when it comes to the learning process, CNN and visual neural network are quite different: CNNs are generally trained by complex mathematical analysis based gradient descent algorithms, while the human brain seems to learn how to recognize objects in a more intuitive way: extra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0cd31708-7a5b-5465-ac53-e06199e3b441
DOI: 10.21203/rs.3.rs-1987907/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Activated Neuron Group Based Extract-Remember Model for Humanlike Object RecognitionDOI 10.21203/rs.3.rs-1987907/v1Read

Whether pattern memory can be truly realized in deep neural network?Semantic proximity Read

Leveraging prior concept learning improves ability to generalize from few examples in computational models of human object recognitionSemantic proximity Read

A neuronal code for object representation and memory in the human amygdala and hippocampusSemantic proximity Read

Modeling Attention and Binding in the Brain through Bidirectional Recurrent GatingSemantic proximity Read

Recent advances in understanding object recognition in the human brain: deep neural networks, temporal dynamics, and contextSemantic proximity Read

A neural network account of memory replay and knowledge consolidationSemantic proximity Read

Recurrent connections facilitate occluded object recognition by explaining-awaySemantic proximity Read

AMG: a memory generation model based on Hebbian plasticity and inferential associationSemantic proximity Read

Hierarchical Emergence Profiles of Human-Derived Dimensions are a Fundamental Property of Deep Neural NetworksSemantic proximity Read

The attentive reconstruction of objects facilitates robust object recognitionSemantic proximity Read

The representational hierarchy in human and artificial visual systems in the presence of object-scene regularitiesSemantic proximity Read

Deep learning algorithms reveal a new visual-semantic representation of familiar faces in human perception and memorySemantic proximity Read