Henrik Anders Lindén

Henrik Anders Lindén serves as a Guest researcher in the Department of Neuroscience at the University of Copenhagen's Faculty of Health and Medical Sciences, where he is part of the Neuronal Signalling research group. Holding a Ph.D. in Physics (Computational Neuroscience) from the Norwegian University of Life Sciences, Lindén applies computational methods to study neural dynamics in motor and sensory systems, with particular focus on spinal cord networks and auditory processing mechanisms.

His educational background includes:

• Ph.D. in Physics (Computational Neuroscience), Norwegian University of Life Sciences

Lindén's research centers on computational neuroscience with emphasis on neural circuit dynamics. He investigates rotational dynamics governing movement in spinal motor networks, firing rate distributions in central pattern generators, and critical periods in auditory processing. His work bridges theoretical modeling and experimental neuroscience to uncover fundamental brain mechanisms across multiple scales, integrating mathematical approaches with biological data to explain emergent properties of neural systems.

Analysis of his 2016-2022 publications reveals strong concentration on motor control and sensory neuroscience. Key contributions include demonstrating rotational dynamics in spinal motor networks, elucidating excitation-inhibition balance in motor circuits, and identifying late critical periods in auditory processing. Lindén consistently employs computational modeling to interpret neural data, with increasing focus on how neural dynamics translate to behavioral outputs through interdisciplinary approaches combining physics, neuroscience, and data science.

No scientific awards or major grants are documented in available sources. Similarly, student advising activities are not specified in current institutional records.

Lindén operates within the Neuronal Signalling group, which investigates cellular and network mechanisms of neuronal communication using electrophysiology, imaging, and computational techniques to understand information processing in neural circuits related to movement and sensation.