"Brain-Like Cognition based Continual Learning and Applications"

Call for Papers-"Brain-Like Cognition based Continual Learning and Applications"

Journal: International Journal of Web Information Systems

Publisher: Emerald Publishing

Submission Deadline: 31 Aug 2026

Key Requirements:

• Brain-like cognition mechanisms addressing catastrophic forgetting

• Foundation model integration with continual learning solutions

• Real-world applications (healthcare/robotics/autonomous driving) mandatory

Overview

Addresses foundation models' catastrophic forgetting limitation through brain-like cognition approaches emulating human lifelong learning. Unlike traditional AI struggling with continual knowledge accumulation, explores hierarchical memory systems + memory consolidation from neuroscience to create stable, cumulative AI learning. Focuses on transforming neuroscientific findings into computational models overcoming cross-task/distribution challenges in cognitive computing, human-machine systems, embodied intelligence.

Key Research Themes

Brain-Inspired Continual Learning:

• Brain memory mechanisms preventing catastrophic forgetting

• Hierarchical memory systems for foundation models

Multimodal Foundation Models:

• Brain-like fine-tuning/reasoning paradigms

• Generative AI with human-like learning stability

Trustworthy Distributed Learning:

• Brain-inspired federated learning transparency

• Collaborative foundation + classical model paradigms

Real-World Applications:

• Healthcare diagnosis + industrial maintenance

• Embodied intelligence (robotics/sensorimotor control)

Submission Instructions

1. Access ScholarOne Manuscripts
2. Register/Login (new users create ScholarOne account)
3. Start New Submission → complete 5-step author wizard
4. CRITICAL: When prompted "Please select the issue you are submitting to" → select "Brain-Like Cognition based Continual Learning" from dropdown
5. Format strictly per Emerald Author Guidelines
6. Originality: Manuscripts not previously published/under consideration elsewhere

Timeline: Closes 31 August 2026

Guest Editor Team

• Prof. Weishan Zhang, UPC, China (zhangws@upc.edu.cn)

• Dr. Zichao Zhang, [Institution], China (zhangzc1@yeah.net)

• Dr. Chaoqun Zheng, [Institution], China (cqzhengwork@163.com)

• Prof. Qun Jin, Waseda University, Japan (jin@waseda.jp)

Why This Issue Matters

Foundation models revolution (GPT-4, LLaMA) faces critical catastrophic forgetting barrier preventing human-like lifelong learning essential for medical diagnosis (90% accuracy demands), autonomous vehicles (real-time adaptation), industrial maintenance (zero-downtime learning). First issue bridging neuroscience + AI engineering creating brain-like cumulative knowledge systems. Addresses $15B edge AI market requiring stable continual learning by 2028. Delivers practical computational models from neuroscientific insights for next-generation cognitive agents.

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