From the 1 of 8 linked papers with an AI index.
8 papers
Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks
Martin Schottlender, Veronika Volkova, Pengjie Zhou +3
The paper compares several ways of encoding visual information into stimulation patterns for cultured biological neural networks and finds that burst-based temporal encoding achiev…
Molecular ISAC via Markov State-Space Modeling: Joint Distance Sensing and Data Detection
Ruifeng Zheng, Pengjie Zhou, MartÃn 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…
Modulation, ISI, and Detection for Langmuir Adsorption-Based Microfluidic Molecular Communication
Ruifeng Zheng, Pengjie Zhou, Pit Hofmann +4
This paper studies microfluidic molecular communication receivers with finite-capacity Langmuir adsorption driven by an effective surface concentration. In the reaction-limited reg…
System Modeling of Microfluidic Molecular Communication: A Markov Approach
Ruifeng Zheng, Pengjie Zhou, Pit Hofmann +3
This paper presents a Markov-based system model for microfluidic molecular communication (MC) channels. By discretizing the advection-diffusion dynamics, the proposed model establi…