Brain-Inspired Computing for Intelligent Networking and Mobile Communications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 200
Special Issue Editor
Interests: machine learning; IoT; smart cities; mmWave 5G; WSN; RFID; LoRaWAN; wireless communications; V2X; autonomous driving; cellular communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in artificial intelligence and communication systems have inspired new paradigms that blend concepts from neuroscience with next-generation network architectures. Brain-inspired computing models such as Spiking Neural Networks (SNNs), Reservoir Computing (RC), Echo State Networks (ESNs), and Liquid State Machines (LSMs) offer promising frameworks for adaptive, energy-efficient, and intelligent processing across dynamic environments. When integrated with emerging architectures like Open Radio Access Networks (O-RAN), these neuromorphic approaches can enable highly distributed and context-aware network intelligence, supporting real-time decisions at the edge with minimal latency and power consumption.
This Special Issue, “Brain-Inspired Computing for Intelligent Networking and Mobile Communications”, aims to foster interdisciplinary research at the intersection of bio-inspired computation, machine learning, and network engineering. We invite original contributions that explore theoretical foundations, architectures, prototypes, and applications of brain-inspired models for next-generation systems, including but not limited to 6G networks, autonomous wireless control, and cognitive IoT connectivity. By bridging neuroscience-inspired algorithms with open, programmable communication infrastructures, this Special Issue seeks to advance the design of intelligent, resilient, and efficient networks that emulate the adaptability and efficiency of the human brain.
Dr. Raúl Parada
Guest Editor
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Keywords
- spiking neural networks (SNNs)
- reservoir computing (RC)
- echo state networks (ESN)
- liquid state machines (LSM)
- open RAN (O-RAN)
- neuromorphic networking
- edge intelligence
- cognitive wireless systems
- 6G networks
- adaptive communication
- architectures
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