AIMC Topic: Learning

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Minimal Neural Network Conditions for Encoding Future Interactions.

International journal of neural systems Feb 28, 2025
Space and time are fundamental attributes of the external world. Deciphering the brain mechanisms involved in processing the surrounding environment is one of the main challenges in neuroscience. This is particularly defiant when situations change ra...
Humans Brain Time Perception Models, Neurological Learning Neural Networks, Computer Decision Making
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Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current mo...
Models, Neurological Action Potentials Neurons Animals Neuronal Plasticity Humans Neural Networks, Computer Synapses Computer Simulation Learning Algorithms
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A novel voice in head actor critic reinforcement learning with human feedback framework for enhanced robot navigation.

Scientific reports Feb 28, 2025
This work presents a novel Voice in Head (ViH) framework, that integrates Large Language Models (LLMs) and the power of semantic understanding to enhance robotic navigation and interaction within complex environments. Our system strategically combine...
Reinforcement, Psychology Learning Humans Robotics Artificial Intelligence
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The Central Role of Learning in Preventing Foot Complications in Persons With Diabetes: A Scoping Review.

Journal of clinical nursing Feb 25, 2025
BACKGROUND: Despite a variety of literature reviews, there is limited understanding of the learning strategies healthcare professionals use to help patients adopt and maintain effective foot care practices.
Learning Humans Patient Education as Topic Diabetic Foot
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How adaptive social robots influence cognitive, emotional, and self-regulated learning.

Scientific reports Feb 24, 2025
As educational environments become more diverse, adaptive technologies like social robots hold promise for providing individual support to learners. This study investigated the role of adaptive teaching of a robot on students' learning outcomes, emot...
Adult Male Adolescent Cognition Middle Aged Female Emotions Humans Young Adult Robotics Learning
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An accurate and fast learning approach in the biologically spiking neural network.

Scientific reports Feb 24, 2025
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Nerve Net Pyramidal Cells Algorithms Humans Learning Neural Networks, Computer Action Potentials Models, Neurological Machine Learning Neurons
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Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2025
In this paper, a novel self-triggered optimal tracking control method is developed based on the online action-critic technique for discrete-time nonlinear systems. First, an augmented plant is constructed by integrating the system state with the refe...
Humans Learning Neural Networks, Computer Machine Learning Time Factors Algorithms Nonlinear Dynamics
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Memristor-based circuit design of interweaving mechanism of emotional memory in a hippocamp-brain emotion learning model.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2025
Endowing robots with human-like emotional and cognitive abilities has garnered widespread attention, driving deep investigations into the complexities of these processes. However, few studies have examined the intricate circuits that govern the inter...
Hippocampus Memory Brain Learning Models, Neurological Robotics Emotions Humans Neural Networks, Computer
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Heterogeneous boundary synchronization of time-delayed competitive neural networks with adaptive learning parameter in the space-time discretized frames.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2025
This article presents the master-slave time-delayed competitive neural networks in space-time discretized frames(STD-CNNs) with the heterogeneous structure, induced by the design of an adaptive learning parameter in the slave STD-CNNs. This article a...
Neural Networks, Computer Algorithms Computer Simulation Learning Time Factors
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Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2025
For unknown nonlinear systems with state constraints, it is difficult to achieve the safe optimal control by using Q-learning methods based on traditional quadratic utility functions. To solve this problem, this article proposes an accelerated safe Q...
Humans Neural Networks, Computer Machine Learning Time Factors Algorithms Nonlinear Dynamics Learning
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