Advanced Mathematical Frameworks for Integrating Bio-Inspiration with Machine Sensing and Perception

Dear Colleagues,

The convergence of biological inspiration and advanced machine learning is driving a new era of intelligent systems capable of sensing and perceiving the world with unprecedented efficiency and sophistication. This Special Issue of Mathematics invites original research exploring novel mathematical frameworks that underpin this transformative field. We seek contributions that bridge the gap between the elegant efficiency of biological sensing mechanisms and the computational power of machine learning, particularly those that carry out the following:

• Develop innovative mathematical models inspired by biological systems (e.g., neural coding, sensory processing, and motor control).
• Present advanced mathematical techniques for processing and interpreting data from bio-inspired sensors (e.g., neuromorphic sensors, event cameras, tactile arrays, and bioacoustic sensors).
• Explore the theoretical foundations for integrating bio-inspired sensing with machine learning algorithms, including deep learning, reinforcement learning, and Bayesian inference.
• Address the challenges of uncertainty, noise, and high dimensionality inherent in bio-inspired sensory data.
• Present novel mathematical tools for analyzing and optimizing the performance of bio-inspired perception systems.
• Investigate the ethical implications of these advanced AI systems.

Topics of interest include, but are not limited to, the following:

• Mathematical models of neural information processing.
• Spiking neural networks and neuromorphic computing.
• Event-based data processing and analysis.
• Mathematical foundations of bio-inspired sensor fusion.
• Machine learning for tactile and olfactory perception.
• Mathematical frameworks for brain–computer interfaces.
• Applications in robotics, prosthetics, and autonomous systems.
• Theoretical guarantees for bio-inspired perception systems.
• Fairness, accountability, and transparency in bio-inspired AI.

We encourage researchers from mathematics, computer science, engineering, and biology to submit their cutting-edge work to this exciting Special Issue. Submissions must present rigorous mathematical formulations and demonstrate significant advancements in the theory or application of bio-inspired sensing and perception.

Dr. Lin Wang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• sensing and perception
• mathematics
• neuromorphic engineering
• signal processing
• optimization and stochastic modelling