4 papers
Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks
Martin Schottlender, Veronika Volkova, Pengjie Zhou +3
Interfacing with Biological Neural Networks (BNNs) requires encoding information into stimulation patterns that can be effectively processed and that enable the underlying system t…
Molecular ISAC via Markov State-Space Modeling: Joint Distance Sensing and Data Detection
Ruifeng Zheng, Pengjie Zhou, Martín Schottlender +4
This paper develops a molecular integrated sensing and communication (ISAC) framework that exploits the same molecular observations for physical-parameter sensing and data detectio…
Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction
Martin Schottlender, Pengjie Zhou, Veronika Volkova +5
Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking resear…
Markov State--Space Modeling and Channel Characterization for DNA-Based Molecular Communication
Ruifeng Zheng, Zhihan Xu, Veronika Volkova +5
In this paper, we study DNA-based molecular communication with microarray-style reception under reversible hybridization, where the bound-state observation exhibits both inter-symb…