The recent MICrONS project publication in Nature presents a detailed map of the mouse visual cortex, combining structural data with in vivo functional imaging from approximately 75,000 neurons. This dataset supported the construction of a "digital twin" of the brain region, aimed at improving understanding of functional level.
CNS indications are broad, but a common challenge remains: translating findings from preclinical models to clinical outcomes.
I'm interested in hearing from others working in CNS areas-whatever the indication:
- Do you see this type of data influencing your research approach?
- Could these methods help address translational gaps in your work?
Appreciate any insights or experiences you'd be open to sharing.
The MICrONS Project
| Nature |
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| The MICrONS Project |
| An unprecedented dataset of high resolution anatomical images of individual cells in mouse visual cortex, mapped on to their responses. This integrated view of function and structure lays a foundation for discovering the computational bases of cortical circuits. |
| View this on Nature > |
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Pankajini Mallick Ph.D.
Sr. Principal Scientist, Preclinical Pharmacokinetics | Modeling and Simulation
San Diego CA
Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer.
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