A survey of adaptive resonance theory neural network models for engineering applications
This survey samples from the ever-growing family of adaptive resonance theory (ART)
neural network models used to perform the three primary machine learning modalities …
neural network models used to perform the three primary machine learning modalities …
Neural modeling of episodic memory: Encoding, retrieval, and forgetting
This paper presents a neural model that learns episodic traces in response to a continuous
stream of sensory input and feedback received from the environment. The proposed model …
stream of sensory input and feedback received from the environment. The proposed model …
Design and integration of a spatio-temporal memory with emotional influences to categorize and recall the experiences of an autonomous mobile robot
Autonomous robots cohabiting with humans will have to achieve recurring tasks while
adapting to the changing conditions of the world. A spatio-temporal memory categorizes the …
adapting to the changing conditions of the world. A spatio-temporal memory categorizes the …
Deep ART neural model for biologically inspired episodic memory and its application to task performance of robots
Robots are expected to perform smart services and to undertake various troublesome or
difficult tasks in the place of humans. Since these human-scale tasks consist of a temporal …
difficult tasks in the place of humans. Since these human-scale tasks consist of a temporal …
Neural modeling of sequential inferences and learning over episodic memory
Episodic memory is a significant part of cognition for reasoning and decision making.
Retrieval in episodic memory depends on the order relationships of memory items which …
Retrieval in episodic memory depends on the order relationships of memory items which …
A brain-inspired self-organizing episodic memory model for a memory assistance robot
CY Yang, E Gamborino, LC Fu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article discusses the implementation of a brain-inspired episodic memory model, which
provides memory assistance and tackles the modern public issue of memory impairment …
provides memory assistance and tackles the modern public issue of memory impairment …
Episodic memory multimodal learning for robot sensorimotor map building and navigation
In this paper, an unsupervised learning model of episodic memory is proposed. The
proposed model, enhanced episodic memory adaptive resonance theory (EEM-ART) …
proposed model, enhanced episodic memory adaptive resonance theory (EEM-ART) …
An emotion understanding framework for intelligent agents based on episodic and semantic memories
Emotional intelligence is the ability to process information about one's own emotions and the
emotions of others. It involves perceiving emotions, understanding emotions, managing …
emotions of others. It involves perceiving emotions, understanding emotions, managing …
Procedural memory learning from demonstration for task performance
YH Yoo, JH Kim - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
A robot is expected to carry out a task autonomously with its own knowledge system. Using
the knowledge system, the robot can recognize current situation and recall a proper …
the knowledge system, the robot can recognize current situation and recall a proper …
Fusion adaptive resonance theory networks used as episodic memory for an autonomous robot
Autonomous service robots must be able to learn from their experiences and adapt to
situations encountered in dynamic environments. An episodic memory organizes …
situations encountered in dynamic environments. An episodic memory organizes …