How to classify different types of learning experiment
I realise that I have as yet to write the introducing myself
or introducing my work
posts, which means that for some people this is going to be missing some context, but I'll get to those soon. Meanwhile I've been doing some brainstorming about what exactly to put in the research proposal that I'm hoping to write and defend in the next 4-6 weeks. The act of writing it all down has in itself helped me clarify a few ideas, but there are also plenty of blanks that still need filling in, and inadequately thought out parts that need to be refined. So here, with the caveat that it's really sub-draft quality, is the beginning of a description of what I'm working on:
evolution of learning brainstorm
If you're wondering what I actually do, this might explain things somewhat, and if you can give me any feedback on this (especially on section 4) I'd be very grateful indeed. It's not worth giving me feedback on the writing itself, as it's not at all edited and this document isn't something I anticipate turning into a paper, but any thoughts about the content would be helpful.
Update: Erin McMullen pointed out in an email that my characterisation of condition in this document was completely wrong. Both things that I described are instances of operant conditioning, whereas classical conditioning involves setting up stimulus -> response associations.
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