Towards a mechanistic interpretation of neural data
NCCD17 is the third in a series of meetings focusing on topics in theoretical and experimental neuroscience.
Techniques for recording and manipulating large-scale neural activity in awake behaving animals are developing at an accelerating pace. Identifying the principles of neural processing requires a mechanistic interpretation of the large amounts of collected data. The aim of this workshop is to make progress in that direction by bringing together three different communities: (i) experimentalists performing large-scale recordings in behaving animals; (ii) modelers specialized in statistical data-analysis; (iii) theorists working with mechanistic network models. We are looking for talks that build bridges across these different approaches.
As with previous workshops, our goal is to foster the strong interactions we believe are so important for this field. So the meeting will be small (~70 people). About half the talks will be invited and half contributed, and there will be poster sessions on two of the nights. Time for informal discussion will be emphasised during breaks and at mealtimes — with lunch and dinner at the conference venue included in the cost of registration.
1. Click on "Register". This will take you to a web page where you can create an account -- a process that involves providing us with some information and then verifying your account via an automatically generated link. Don't worry: your email address is save with us.
2. Log back in and click on "Register". Scroll to the bottom of the page and tell us whether or not you're a student/postdoc (student/postcod registration rates are slightly lower).
Now that you're registered, you can submit and abstract and pay, in any order.
***Note, however, that paid registration is capped at 70, so if you don't pay you risk not being able to attend.***
***Finally, about 10 abstracts will be chosen for contributed talks. We'll let you know which ones shortly after the abstract deadline; definitely before the early registration deadline.***