This book constitutes the refereed proceedings of the 4th International Conference on Neuromorphic Computing Chengdu, China, December 1214, 2025.

The 52 papers included in these proceedings were carefully reviewed and selected from 134 submissions.ICNC 2025 aimed to establish a high-level international platform for academic exchange, promoting the development and collaboration within the advanced interdisciplinary field of neuromorphic computing. The focus of the event covered a wide range of hot topics, including neuromorphic chip design and mod eling, brain-inspired computing architectures, low-power intelligent computing, neural network algorithms and applications, human-computer interaction andneurocognitive science.

Inhalt

.- QRCNN-BiGRU-Multi-attention for Prediction of Ship Traffic Flow in Compound Channels.
.- Collision-free Cluster Formation Control of Autonomous Surface Vehicle based on Artificial Potential Function.
.- Petrochemical Intelligent Training System Based on Internet of Things Technology.
.- Predefined-Time Tracking Control for Quadrotor Unmanned Aerial Vehicle with Enhanced Disturbance Rejection.
.- DVS Data Recognition using the Hybrid Neural Network.
.- A Memristor-Based SNN Hardware Architecture with AHaH Plasticity.
.- Time-Frequency Synergy for Power Load Forecasting: A Principal Frequency-Band Energy-Weighted Integrated Approach.
.- PSEformer: Period-Series Embedding Transformer with Enhanced Input Embedding for Load Forecasting.
.- Resilience evaluation and optimization of UAV swarm network under low probability risk.
.- The Research on Mobile Edge Computing in Content Delivery Network.
.- Impacts of dynamic topology on networked control systems.
.- Neural Network Structure-Based Adaptive SMC for Pneumatic Artificial Muscle Systems with State Constraints and Input Dead Zones.
.- AControl Strategy for Multi-Robot Systems Based on a Gradient-Based Differential kWTA Network.
.- Memristor-Based Neural Network Circuit With Flashbulb Memory Effect.
.- MAAF: A Mutual Alignment and Adaptive Fusion Framework for Sketch-based Image Retrieval.
.- DoS Attacks Compensation Controller Design for Networked ControlSystems with Weighted-Try-Once-Discard Protocol.
.- Trajectory Optimization for Hypersonic Vehicles under Aerodynamic Uncertainty via Risk-Neutral Sequential Convex Programming.
.- RL-Compensated Model Predictive Control for Quadruped Robot Locomotion on Challenging Terrains.
.- Prescribed-time control of flexible joint robotic based on neural network.
.- Neural-Based Adaptive Event-Triggered Tracking Control for Series Elastic Actuator with Input Dead Zones.
.- VeMamba: Voxel-Based Multi-Scale State Space Model Network for Event Stream Recognition.
.- Formation Control with Prescribed Performance for Fully Actuated Vehicles under Input Saturation.
.- A Novel Memristor-Based Analog Multiplier.
.- Dual Asynchronous Switching Control for Fuzzy Semi-Markov Jump Neural Networks with Multi-Weighting Event-Triggered Scheme.
.- MRI-based Anterior Cruciate Ligament Injury Detection Using Transfer Learning.
.- Observer-Based Dynamic Event-Triggered Tracking Control for Nonlinear MASs with Unknown Time-Varying Sensor Sensitivity.
.- Energy Management for Ship-Integrated Energy System Considering Carbon Emission Intensity Grading Mechanism with EEOI.
.- Enhancing Few-Shot Class Incremental Learning with Local Expert-Guided Class Separation.
.- Prompt-based hypernetwork in rehearsal-free class incremental learning.
.- Active Disturbance Rejection Method for Positioning and Payload Swing Suppression of Tower Cranes.
.- Stability of Nonlinear Impulsive Systems Under Hybrid Event-Triggered Control.
.- MPC-based Resilient Cooperative Target Tracking of Autonomous Surface Vehicles under False Data Injection Attacks.
.- Synchronization Control of Time-Delay Inertial Memristive Neural Networks with Unknown Parameters.
.- SNN-based Lightweight Denoising Method for Event Cameras.
.- Safety-Critical Distributed Containment Maneuvering of UnderactuatedAutonomous Surface Vehicles via Local LiDAR Perception.
.- A Multi-Graph Fusion Attention Network for Traffic Flow Forecasting.
.- Adaptive Platoon Control of Heterogeneous Vehicles with Extend State Observe and Modified Constant Time Headway Policy.
.- Neural-network-based Self-triggered Observed Platoon Control for Autonomous Vehicles .
.- Reinforcement Learning-Based Prescribed Performance Formation Control for Unmanned Surface Vehicles.
.- ABODE-VAE: An autonomous feature importance learning framework for age-stratified mortality prediction in sepsis patients.
.- Acceleration Dual Q-learning Control for Nonlinear Discrete-Time Systems via Swarm Intelligence.
.- Stochastic Disturbance Rejection Tracking for Surface Ships withThruster Saturation.
.- Neural Network-based Adaptive Impulsive Control Strategy for Leader-Following Consensus in Uncertain Multiagent Systems.
.- Neural Network-Based Adaptive Learning Control of Nonlinear Crane System.
.- Fixed-Time Bipartite Output Consensus of Heterogeneous Multi-AgentSystems via Event-Triggered Intermittent Control.
.- Flatness-Based Adaptive Backstepping Control for Underactuated ACVs.
.- Decoupled Cooperative Encirclement Control for Unmanned Surface Vehicles Using Asymmetric Radial Weighting.
.- Memory-based hybrid-triggered dissipative DP control for switched UMVs.
.- Dynamic positioning control of unmanned surface vehicles based on an improved long short-term memory network .
.- Adaptive Neural Network Optimal Fault-Tolerant Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles .
.- An Agentic Framework for 3D Semantic Gaussian Maps.
.- Distributed Economic Dispatch for Port Energy Systems with Offshore Wind.