Anders Lansner

Papers

Total Citations

121

H-Index

About

Anders Lansner is a pioneering researcher in computational neuroscience and biologically inspired computation, with a career focused on unraveling the brain’s fundamental principles and translating them into innovative technologies. His work spans two core areas: modeling vertebrate motor systems and developing neuromorphic solutions for chemical sensing. Lansner’s most cited paper, “Modeling a vertebrate motor system: pattern generation, steering and control of body orientation” (2007, 69 citations), provides a comprehensive computational framework for understanding how the nervous system coordinates complex movements—a foundational contribution to motor control theory. In parallel, his research on machine olfaction, notably in “A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation” (2013, 45 citations), demonstrates how insights from the olfactory system can drive novel computing architectures. This work was central to the EU FP7 NEUROCHEM project, which advanced both our understanding of biological olfaction and the development of bio-inspired hardware. Lansner’s impact lies in bridging neuroscience and engineering, offering students and researchers a compelling vision of how brain-inspired models can solve real-world problems, from robotics to environmental sensing.