How do we verify that our models simulate the important features of a biological system?
Taking a page from the successful software industry practice of unit-testing, the SciDash initiative provides for data-driven validation of models. Each unit test assesses a model's correspondence with one finding from the corresponding biological system, and a model's performance on a suite of these tests serves as an important assessment of validity and a guide for further development.
MetaCell, world leaders in software for neuroscience, and the Laboratory for Informatics and Computation in Open Neuroscience, Arizona State University, are hosting a live talk to discuss today's needs for neuroinformatics tools that promote transparency and rigor in model development and model evaluation.
By attending the webinar you'll learn how the SciDash initiative uses existing community standards and offers a web dashboard for comparing the fitness of diverse models.
The session will be presented by Giovanni Idili, COO of MetaCell; Sharon Crook, Professor at Arizona State University; and Rick Gerkin, Assistant Research Professor at Arizona State University.
It will take place on Thursday 29th November at 9am PT / 12pm ET / 5pm GMT, and will last 45 mins + Q&A.
If you're interested but unsure whether you can attend or not, please register anyway and we'll send you the recording as soon as it's ready.
KEY INFO
- Day: Thursday 29th November
- Time: 9am PT / 12pm ET / 5pm GMT
- Location: Online. Upon registration, you'll receive two emails; one from Eventbrite (confirming your registration), and one from GoToWebinar (with the link to join the talk). If you don't receive them please contact us ASAP (info@metacell.us)
- Who is this for? Anyone with an active interest in neuroscience, in particular those who work in modelling, data visualization and analysis.
Register: https://www.eventbrite.co.uk/e/webinar-validating-computational-models-t...