about this workshop
In this workshop we will use the mouse visual cortex connectome in the MICrONS open access dataset. Neuroscience concepts will come to life through the exploration of the 3D dataset starting with neuroanatomy and diving into ultrastructure and identification of cell types. By the end of the workshop, participants will be prepared to navigate the software and science of the MICrONS dataset and teach/adapt pre-written modules.
- There is no fee to participate in the workshop.
- Travel funds are available to assist in domestic travel and accommodations.
workshop highlights
- Engage in dry lab explorations of a neuroscience data
- Navigate 3D electron microscopy dataset with Neuroglancer
- Learn to implement code-based tools with a new curriculum
- Virtually explore Allen Institute’s electron microscopy pipeline
join a community of undergraduate neuroscience educators
Implement this curriculum in your classrooms
Attendees will implement laboratory modules that teach fundamental neuroscience concepts related to neuroanatomy, brain ultrastructure, and synaptic connectivity using mouse visual cortex connectome data available through the Allen Institute. They will work with workshop leaders and scientists to develop plans for incorporating connectome laboratory modules into their undergraduate instruction and curriculum. During this workshop, attendees will also gain experience with integrating code-based analysis of the connectome into their instruction, however no coding experience is required or expected. Following the workshop, participants will have access to all laboratory modules, lesson plans, and assessment tools covered during the workshop.
Acknowledgments
This curriculum was developed, and workshop was funded in part, by the BRAIN Initiative through the CONNECTS program through the National Institute of Neurological Disorders and Stroke (NINDS) of the National Institutes of Health under the HIVE grant- Award number UM1NS132253 including subawards to Ken Colodner (Mt Holyoke), Andrew Bellemer (Appalachian State) and Divya Sitaraman (CSU East Bay).
