Bidirectional associative memory with block coding: A comparison of iterative retrieval methods -- Stability analysis of a generalised class of BAM neural networks with mixed delays -- Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays -- A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics -- Multi-modal associative storage and retrieval using Hopfield auto-associative memory network -- Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-Values -- A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection -- Sleep State Analysis using Calcium Imaging Data by Non-negative Matrix Factorization -- Detection of directional information flow induced by TMS based on symbolic transfer entropy -- Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network -- Distinguishing Violinists and Pianists based on their Brain Signals -- Research on Image-to-Image Translation with Capsule Network -- Multi-View Capsule Network -- Advanced Capsule Networks via Context Awareness -- DDRM-CapsNet: Capsule Network based on Deep Dynamic Routing Mechanism for complex data -- Squeezed Very Deep Convolutional Neural Networks for Text Classification -- NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems -- Swap kernel regression -- Model-Agnostic Explanations for Decisions using Minimal Patterns -- NARPCA: Neural Accumulate-Retract PCA for Low-latency High-throughput Processing on Datastreams -- An Evaluation of Various Regression Models for the Prediction of Two-Terminal Network Reliability -- Capsule Generative Models -- Evaluating CNNs on the Gestalt Principle of Closure -- Recovering Localized Adversarial Attacks -- On the Interpretation of Recurrent Neural Networks as Finite State Machines -- Neural field model for measuring and reproducing time intervals -- Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models -- NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images -- Deep Semantic Asymmetric Hashing -- A Neural Network for Semi-Supervised Learning on Manifolds -- Counting with Analog Neurons -- On the Bounds of Function Approximations -- Probabilistic Bounds for Approximation by Neural Networks -- Tree Memory Networks for Sequence Processing -- On Deep Set Learning and the Choice of Aggregations -- Hilbert Vector Convolutional Neural Network : 2D Neural Network on 1D Data -- The Same Size Dilated Attention Network for Keypoint Detection -- Gradient-Based Learning of Compositional Dynamics with Modular RNNs -- Transfer Learning with Sparse Associative Memories -- Linear Memory Networks -- A Multi-Armed Bandit Algorithm Available in Stationary or Non-Stationary Environments Using Self-Organizing Maps -- Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions -- Boosting Reinforcement Learning with Unsupervised Feature Extraction -- A multi-objective Reinforcement Learning algorithm for JSSP -- A Reinforcement Learning Approach for Sequential Spatial Transformer Networks -- Deep Recurrent Policy Networks for Planning under Partial Observability -- Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task -- FMNet: Multi-Agent Cooperation by Communicating with Featured Message Network -- Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE -- On Unsupervised Learning of Traversal Cost and Terrain Types Identification using Self-Organizing Maps -- Scaffolding Haptic Attention with Controller Gating -- Benchmarking Incremental Regressors in Traversal Cost Assessment -- CPG driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-like Robot -- Training Delays in Spiking Neural Networks -- An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation -- UAV Detection: A STDP trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach -- Autonoumous Learning Paradigm for Spiking Neural Networks -- Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm -- The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns -- Estimating and factoring the dropout induced distribution with Gaussian mixture model -- Sequence disambiguation with synaptic traces in associative neural networks -- Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks -- A Neural Circuit Model of Adaptive Robust Tracking Control for Continuous-Time Nonlinear Systems.