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Chapter and Conference Paper
Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning
The brain structures are key indicators to represent the complexity of many cognitive functions, e.g., visual pathways and memory circuits. Inspired by the topology of the mouse brain provided by the Allen Bra...
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Article
SOAR Improved Artificial Neural Network for Multistep Decision-making Tasks
Recently, artificial neural networks (ANNs) have been applied to various robot-related research areas due to their powerful spatial feature abstraction and temporal information prediction abilities. Decision-m...
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Article
Open AccessNeuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks
The study of cellular complexity in the nervous system based on anatomy has shown more practical and objective advantages in morphology than other perspectives on molecular, physiological, and evolutionary asp...
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Article
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction
Improving robots with self-learning ability is one of the critical challenges for the researchers in the area of cognitive robotics and artificial general intelligence. This robot will decide when, where, and ...
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Chapter and Conference Paper
Spiking Adaptive Dynamic Programming with Poisson Process
A new iterative spiking adaptive dynamic programming (SADP) algorithm based on the Poisson process for optimal impulsive control problems is investigated with convergence discussion of the iterative process. F...
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Article
Open AccessCognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation
Various types of theoretical algorithms have been proposed for 6D pose estimation, e.g., the point pair method, template matching method, Hough forest method, and deep learning method. However, they are still ...
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Chapter and Conference Paper
The Effect of Culture and Social Orientation on Player’s Performances in Tacit Coordination Games
Social Value Orientation (SVO) is one of the main factors affecting strategic decision making. This study explores the effects of different cultural background on players’ SVO as well as on their ability to c...
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Article
Improving multi-layer spiking neural networks by incorporating brain-inspired rules
This paper introduces seven brain-inspired rules that are deeply rooted in the understanding of the brain to improve multi-layer spiking neural networks (SNNs). The dynamics of neurons, synapses, and plasticit...
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Chapter and Conference Paper
Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning
It is widely accepted that appropriate network topology should be empirically predefined before training a specific neural network learning task. However, in most cases, these carefully designed networks are e...
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Article
Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform
The brain is naturally a parallel and distributed system. Reverse engineering a cognitive brain is considered to be a grand challenge. In this paper, we present the parallel brain simulator (PBS), a parallel a...
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Article
Open AccessNeural spike prediction based on spreading activation
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Article
Open AccessNeural pathway prediction based on multi-neuron spike train data
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Chapter and Conference Paper
Active Recommendation of Tourist Attractions Based on Visitors Interests and Semantic Relatedness
Many visitors always search on tourist attractions related information on the Web so as to get more information on the places they are visiting or plan their next trips. In this study, we introduce CASIA-TAR, ...
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Chapter and Conference Paper
CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data
Knowledge bases play a crucial role in intelligent systems, especially in the Web age. Many domain dependent and general purpose knowledge bases have been developed to support various kinds of applications. In...
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Chapter and Conference Paper
Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base
Populating existing knowledge base with new facts is important to keep the knowledge base fresh and most updated. Before importing new knowledge into the knowledge base, entity linking is required so that the ...
