Embracing Change: Continual Learning in Deep Neural Networks: Trends in Cognitive Sciences
A hybrid and scalable brain-inspired robotic platform | Scientific Reports
Linking Brain Structure, Activity, and Cognitive Function through Computation | eNeuro
Remote Sensing | Free Full-Text | Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery
Robotics | Free Full-Text | Deep Learning-Based Object Classification and Position Estimation Pipeline for Potential Use in Robotized Pick-and-Place Operations
Neural nets learn to program neural nets with with fast weights (1991)
Neural network - Wikipedia
Sensors | Free Full-Text | Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks | DeepAI
A cognitive architecture for CNN based Robots The key features of our... | Download Scientific Diagram
PDF) icVision: A Modular Vision System for Cognitive Robotics Research
Frontiers | A Simplified CNN Classification Method for MI-EEG via the Electrode Pairs Signals
A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity | Scientific Reports
Sensors | Free Full-Text | A Data-Driven Damage Identification Framework Based on Transmissibility Function Datasets and One-Dimensional Convolutional Neural Networks: Verification on a Structural Health Monitoring Benchmark Structure
A Deep Convolutional Neural Network Model for Sense of Agency and Object Permanence in Robots
A neural network learns when it should not be trusted | MIT News | Massachusetts Institute of Technology
AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine - ScienceDirect
Biological constraints on neural network models of cognitive function | Nature Reviews Neuroscience