.- Brain-inspired ComputingBrain-inspired Computing.

.- A Multiscale Resonant Spiking Neural Network for Music Classification.

.- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements.

.- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning.

.- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks.

.- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion.

.- Cognitive and Computational Neuroscience.

.- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer.

.- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions.

.- Dynamic Graph for Biological Memory Modeling: A System-Level Validation.

.- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism.

.- Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks.

.- An Accuracy-Shaping Mechanism for Competitive Distributed Learning.

.- Explainable Artificial Intelligence.

.- Counterfactual Contrastive Learning for Fine Grained Image Classification.

.- Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space.

.- Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning.

.- Generally-Occurring Model Change for Robust Counterfactual Explanations.

.- Model Based Clustering of Time Series Utilizing Expert ODEs.

.- Towards Generalizable and Interpretable AI-Modified Image Detectors.

.- Understanding Deep Networks via Multiscale Perturbations.

.- Robotics.

.- Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning.

.- Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation.

.- Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic.

.- When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration.

.- Reinforcement Learning.

.- Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning.

.- Building surrogate models using trajectories of agents trained by Reinforcement Learning.

.- Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-Agent Reinforcement Learning under Mixed Demand.

.- Dual Action Policy for Robust Sim-to-Real Reinforcement Learning.

.- Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation.

.- Speeding up Meta-Exploration via Latent Representation.