Systematic literature reviews, qualitative data analysis, and meta-analyses related to topics in Computational & Cognitive Neurobiological Sciences

So everything in CognTech.net has a parallel, in textual writing, which I hope to publish in a peer-reviewed journal one day. But much of this involved me working independently on my own systematic scientific literature reviews, QDA, and meta-analysis (TBC). Since 2014 (2nd year BSc), I have been accumulating published references online and other informational content and notes, but I never really had a chance to properly formulate something (outside UCL and KCL works) that would be truly novel and in publishable form, and hence I am still working on it. All this involves me searching for and reading a lot of publications and also browsing databases of relevant data. It also involves some sort of translation of textual information into codified themes/concepts, quantified entities, and the creation of new models (as figures, diagrammatic flow-charts and infographics), and basic descriptive and inferential statistics to test hypotheses (given assumptions). Times have changed a lot and I have certainly been working on learning more on the recent state of the art CCNBS research by others.

See CCNBS-res-pub-website and also also shared Private Cloud Drive folders.

Topics to cover:

• Literature and data on cognitive functions: decision, reading, learning, vision, ....

• Experimental tools

• Modelling tools

• A.I. equivalents to cognitive functions

I also am very interested in the process of evidence gathering that I have been through, and the meta-cognition and navigating of deeply structured spatial and temporal models at different levels of abstraction (as described by K Friston, E Tulving, S Harris, S Pinker, N Chomsky, and others).

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