Research
MNI is committed to advancing our understanding of the nervous system across multiple levels of organization, from molecules and cells to circuits and behavior.
MNI's Research Portfolio
The Michigan Neuroscience Institute (MNI) is committed to advancing our understanding of the nervous system across multiple levels of organization, from molecules and cells to circuits and behavior. Solving the many puzzles of the brain requires interdisciplinary approaches, which are central to the success of the MNI. Working together across disciplines, MNI researchers are seeking the biological causes of brain disorders and paving the way to their prevention and treatment.
The MNI research portfolio can be divided into the following categories:
- Behavioral and Systems Neuroscience – the study of how neurons, neural pathways, and neural circuits interact to guide both adaptive and maladaptive behaviors.
- Cognitive Neuroscience – the study of the neural mechanisms that underlie cognitive processes, including learning and memory.
- Molecular and Cellular Neuroscience – the study of the brain at its most fundamental cellular and molecular level, including the mechanisms that promote synaptic formation and neuronal communication.
- Clinical Neuroscience – the study of the mechanisms that underlie diseases and disorders of the brain and central nervous system, including neurodegenerative, psychiatric, and neurodevelopmental disorders.
- Developmental Neuroscience – the study of the development of the nervous system and how dysfunction of the underlying processes contributes to pathology.
- Sensory Neuroscience – the study of how the brain encodes and processes information related to the sensory systems, including vision, hearing, olfaction and taste.
- Computational Neuroscience – the use of mathematical and computational models to uncover the principles that govern brain function and dysfunction.
MNI Member Research
Scalable and multiplexed recorders of gene regulation dynamics across weeks
Scalable and multiplexed recorders of gene regulation dynamics across weeks
Called "CytoTape", the flexible thread-like intracellular protein fiber was designed with the help of artificial intelligence
Inferring differential dynamics from multi-lineage, multi-omic, and multi-sample single-cell data with MultiVeloVAE
Inferring differential dynamics from multi-lineage, multi-omic, and multi-sample single-cell data with MultiVeloVAE
Li, C., Gu, Y., Virgilio, M.C. et al. Inferring differential dynamics from multi-lineage, multi-omic, and multi-sample single-cell data with MultiVeloVAE. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66287-6
Gene expression signatures from whole blood predict amyotrophic lateral sclerosis case status and survival
Gene expression signatures from whole blood predict amyotrophic lateral sclerosis case status and survival
Zhao, Y., Savelieff, M.G., Li, X. et al. Gene expression signatures from whole blood predict amyotrophic lateral sclerosis case status and survival. Nat Commun 16, 9631 (2025). https://doi.org/10.1038/s41467-025-64622-5
When goodbye comes too soon: How to wrap up science projects quickly
When goodbye comes too soon: How to wrap up science projects quickly
Hagenauer MH, Winham SJ, Freeman ALJ, Sternberg PW, Kolber BJ (2025) When goodbye comes too soon: How to wrap up science projects quickly. PLoS Biol 23(10): e3003455. https://doi.org/10.1371/journal.pbio.3003455