E.g: when you stimulate anterior / posterior superior colliculus you get fixed-vector / goal-directed saccades respectively. Early reports concluded this means different spatial codes, but later this was explained by a single retina-fixed model with some 3D geometry.
www.nature.com/articles/nn0...

Directing short 'plays' for my 8-yr old daughters to act out for Mom.

He thinks he's the president of North and South America.

In the 19th century he'd be selling miracle cures from the back of a wagon.

Good that you have someone to talk to. I don't know your situation but life is full of surprises and a PhD can lead to many paths. My trainees have become researchers, teachers, health care professionals, administrators, industry consultations, government employees and more. You'll find your place.

When work is difficult, I find it comforting to know that such times pass by, leaving only memories in the future. In the mean time, give yourself a break and reach out to your support group.

That's quite a crowd, your work must be hot!

Last but not least, this afternoon in San Diego:

Presentation PSTR451.19 / T3 Spatiotemporal dynamics of sensory memory and reference frame transformation during memory-guided reach - a recurrent neural network model

I missed that post. We have published on spatial information integration in FEF and are now recording from IPS. A reach-out is always welcome. BTW, any given dataset ends up a patchwork of published and unpublished data.

I'm confused too. If you don't want unpublished data, and the published data is available, what do you want? The problem I see is that physiological data is not standardized like fMRI and some psychophysics; not plug and play. Even coordinating physiologists and modelers within a lab is a challenge.

You can cite a published dataset, but if you want access to unpublished data a citation does not equal the authorship credit you are giving yourself on this hypothetical paper. Just preparing data for some user-friendly format is a lot of work.

All I'm saying is that when you use someone else's data, it didn't just fall in their lap. They put all their training, expertise, and ideas into grant writing, lab set up, teamwork, experimental design, execution, and analysis to create that dataset. Please give them the credit they are due.

Free for who? Everyone, including enemies of the state that paid for the research? Or select collaborators deemed to be responsible players? What is your government's policy?

Lina on the job: