Potentials and Limitations of Deep Neural Networks for Cognitive Robots
Multilevel development of cognitive abilities in an artificial neural network | PNAS
Chemistry-Encoded Convolutional Neural Networks for Predicting Gaseous Adsorption in Porous Materials | The Journal of Physical Chemistry C
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks | DeepAI
Biological constraints on neural network models of cognitive function | Nature Reviews Neuroscience
Frontiers | Convolutional Neural Network-Based Human Movement Recognition Algorithm in Sports Analysis
Remote Sensing | Free Full-Text | Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery
A Deep Convolutional Neural Network Model for Sense of Agency and Object Permanence in Robots
Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics | PNAS
Remote Sensing | Free Full-Text | Review of Image Classification Algorithms Based on Convolutional Neural Networks
Recent Cognitive Robotics Articles
A hybrid and scalable brain-inspired robotic platform | Scientific Reports
A typical CNN framework for robotics. Raw sensor information (depth... | Download Scientific Diagram
Cognitive Robotics Course
Embracing Change: Continual Learning in Deep Neural Networks: Trends in Cognitive Sciences
An easier way to teach robots new skills | MIT News | Massachusetts Institute of Technology
Visual number sense in untrained deep neural networks | Science Advances
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
Robotics | Free Full-Text | Deep Learning-Based Object Classification and Position Estimation Pipeline for Potential Use in Robotized Pick-and-Place Operations
A neural network learns when it should not be trusted | MIT News | Massachusetts Institute of Technology
Sensors | Free Full-Text | Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition
A cognitive architecture for CNN based Robots The key features of our... | Download Scientific Diagram
Frontiers | A Simplified CNN Classification Method for MI-EEG via the Electrode Pairs Signals
Classification of indoor actions through deep neural networks
Informing deep neural networks by multiscale principles of neuromodulatory systems - ScienceDirect
Abstract Concept Learning in Cognitive Robots | SpringerLink
