Computational Neuroscience

Chapter 1 A Network of Spiking Neurons Performing a Relational Categorization Task

Chapter 2 Chaotic Synchronization of Neural Networks in FPGA

Chapter 3 Assessing the Performance of Convolutional Neural Networks on Classifying Disorders in Apple Tree Leaves

Chapter 4 Towards Graffiti Classification in Weakly Labeled Images Using Convolutional Neural Networks

Chapter 5 Computational Models for the Propagation of Spreading Depression Waves

Chapter 6 How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Methods and Applications

Chapter 7 Investigating Crime Rate Prediction Using Street-Level Images and Siamese Convolutional Neural Networks

Chapter 8 Developing of a Video-Based Model for UAV Autonomous Navigation

Chapter 9 Cyberbullying Classification Using Extreme Learning Machine Applied to Portuguese Language

Chapter 10 Pseudorehearsal Approach for Incremental Learning of Deep Convolutional Neural Networks

Chapter 12 An Adaptive User Interface Based on Psychological Test and Task-Relevance

Chapter 13 Decision Tree to Analyses EEG Signal: A Case Study Using Spatial Activities

Chapter 14 Multi-Network-Feedback-Error-Learning with Automatic Insertion: Validation to a Nonlinear System

Chapter 15 Planned Obsolescence Using Nanotechnology for Protection Against Artificial Intelligence