Ravichandran, N., Lansner, A., Herman P. (2024). Spiking representation learning for associative memories. Special Session on Deep Spiking Neural Networks. Frontiers in Neuroscience

Al Hafiz, M.I., Ravichandran, N., Lansner, A., Herman, P., Podobas, A. (2025). A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks. In: Giorgi, R., Stojilović, M., Stroobandt, D., Brox Jiménez, P., Barriga Barros, Á. (eds) Applied Reconfigurable Computing. Architectures, Tools, and Applications. ARC 2025. Lecture Notes in Computer Science, vol 15594. Springer

Naresh Ravichandran, Anders Lansner, Pawel Herman (2025). Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. Neurocomputing Volume 626. Elsevier

Menis Mastromichalakis, O., Liartis, J., Stamou, G. (2025). Beyond One-Size-Fits-All: How User Objectives Shape Counterfactual Explanations. Late-breaking work, Demos and Doctoral Consortium, colocated with the 3rd World Conference on eXplainable Artificial Intelligence

Cruz, C., Guijarro Tolón, J., del Cerro, J., Barrientos, A. (2025). Efficient Navigation for Quadruped Robots in Post-Disaster Scenarios. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Argüello, D., Cruz, C., Menis Mastromichalakis, O., Livitckaia, K., del Cerro, J., García Perales, O., Herman, P. (2025). Multi-Domain Calibration Framework for SAR-XAI: A Systematic Approach to Trustworthy Explainable AI with Transparency Enhancements

Cruz, C., Ravichandran, N., Argüello, D., Prieto, A., Lansner, A., Herman, P., del Cerro, J. (2026). Sim-to-Real Neural Perception for Terrain Classification in Search and Rescue Robotics

Zhang, K., Lansner, A., Awan, A., Ravichandran, N., Herman, P. (2026). Dynamic Heuristic Neuro-morphic Solver for the Edge User Allocation Problem with Bayesian Confidence Propagation Neural Network

Lansner, A., Knoblauch, A., Ravichandran, N., Herman, P. (2026). Bench-marking Local Hebbian Learning Rules for Memory Storage and Prototype Extraction

Fiebig, F., Chrysanthidis, N., Lansner, A., Herman, P. (2026). Synergistic Short-Term Synaptic Plasticity Mechanisms for Working Memory

Argüello, D., Cruz, C., Ravichandran, N., Lansner, A., Herman, P., del Cerro, J., García Perales, O. (2026). Assessing Calibration and Conformal Coverage of SAR

Al Hafiz, M.I., Ravichandran, N., Lansner, A., Herman, P., Podobas, A. (2025). Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference