1. IEEE Transactions on Emerging Topics in Computing (TETC)
Core Focus: Innovative computing paradigms, including Neuromorphic and Non-von Neumann architectures.
Alignment: This journal is ideal if the manuscript's primary contribution is the architectural innovation of using Spiking Neural Networks (SNN) on a cutting-edge neuromorphic chip like Loihi 2 and MindCore. It values system-level efficiency and new computing methodologies.
2. IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCAS-AI)
Core Focus: Hardware-software co-design and efficient circuit/system implementations for AI.
Alignment: As a newly launched IEEE journal, it specifically targets research that bridges the gap between AI algorithms and physical hardware implementation. The ultra-low power metrics (e.g., 26μJ/41μJ) and the specific use of neuromorphic hardware make this an excellent technical fit.
3. IEEE Transactions on Biomedical Circuits and Systems (TBioCAS)
Core Focus: Circuits and systems for biomedical applications, specifically bio-signal processing.
Alignment: This journal is suitable if the emphasis is placed on the healthcare application (EEG/ECG classification for dementia and cardiovascular disorders). It is highly regarded in the biomedical engineering community, though it often requires a detailed discussion on the circuit-level implementation or system integration for medical use.
4. IEEE Consumer Electronics Magazine (MCE)
Core Focus: Practical applications and real-world implementation in consumer and wearable devices.
Alignment: This venue is optimal if the paper highlights the practicality of the SNN model for wearable medical platforms. It focuses on how the technology can be integrated into portable devices to improve patient care through real-time, energy-efficient inference.
5. IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II)
Core Focus: Rapid publication of high-impact, concise research results.
Alignment: Best suited for a shorter manuscript (approx. 5 pages) that focuses on clear experimental breakthroughs. If the goal is to quickly validate the superior performance of the proposed SNN against conventional deep learning models, TCAS-II offers an efficient review process.
6. IEEE Journal of Biomedical and Health Informatics (J-BHI)
Core Focus: Convergence of IT and health informatics, focusing on data analytics and system integration for healthcare.
Alignment: This journal is highly suitable if you wish to emphasize the clinical significance and high accuracy (99%) of your EEG/ECG classification. It values research that demonstrates how advanced AI (like SNN) can provide practical solutions for global health challenges like neurodegenerative diseases.
Strategic Note:
1. Each journal has a different "flavor." For TETC/TCAS-AI, emphasize the Neuromorphic System architecture. For TBioCAS/MCE, emphasize the Clinical/Practical Utility of the bio-signal classification.
2. If your manuscript focuses heavily on the informatics and diagnostic performance (99% accuracy), J-BHI is a top-tier choice. If the focus is on the hardware efficiency and the SNN architecture, TCAS-AI or TETC would be more appropriate.