Neural nets learn to program neural nets with with fast weights (1991)
Cognitive Robotics Course
Potentials and Limitations of Deep Neural Networks for Cognitive Robots
PDF) icVision: A Modular Vision System for Cognitive Robotics Research
A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity | Scientific Reports
Frontiers | Internet of Robotic Things Intelligent Connectivity and Platforms
A Deep Convolutional Neural Network Model for Sense of Agency and Object Permanence in Robots
Biological constraints on neural network models of cognitive function | Nature Reviews Neuroscience
Frontiers | A Simplified CNN Classification Method for MI-EEG via the Electrode Pairs Signals
Embracing Change: Continual Learning in Deep Neural Networks: Trends in Cognitive Sciences
Cooperative Multi-Scale Convolutional Neural Networks for Person Detection
Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics | PNAS
A neural network learns when it should not be trusted | MIT News | Massachusetts Institute of Technology
Study urges caution when comparing neural networks to the brain | MIT News | Massachusetts Institute of Technology
Robotics | Free Full-Text | Deep Learning-Based Object Classification and Position Estimation Pipeline for Potential Use in Robotized Pick-and-Place Operations
Remote Sensing | Free Full-Text | Review of Image Classification Algorithms Based on Convolutional Neural Networks
Robotics | Free Full-Text | FumeBot: A Deep Convolutional Neural Network Controlled Robot
Chemistry-Encoded Convolutional Neural Networks for Predicting Gaseous Adsorption in Porous Materials | The Journal of Physical Chemistry C
Classification of indoor actions through deep neural networks
Sensors | Free Full-Text | Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition
Convolutional Neural Network (CNN) Tutorial In Python Using TensorFlow | Edureka
PDF) Automated Lip-Reading Robotic System Based on Convolutional Neural Network and Long Short-Term Memory
