For staging and planning topic to investigated in the field of Computational Neuroscience.
Theoretical
Default Mode Network (DMN)
A brain network active during rest and internal mental processes, including mind-wandering, memory retrieval, and social cognition, and is deactivated during externally focused tasks.
This is not as concrete of a topic, more of a term that loosely describes some associated behavior, so acadmic sources will never be about just the DMN.
Resources:
Quanta Magazine Video, very generalist, but a good staging ground for more concepts (talks about Memory, Episodic Memory, and many more concepts to cover)
Medlink Technology, not an acadmic source by any means, but once again a good overview.
Theoretical Neuroscience by Peter Dayan and LF Abbott
This is the textbook that was given to me by a family member, covers a great range of biology, math, and machine learning. Is quite a long book, so I will read it over a long period. Not sure how I will document/note-take for this work, I am thinking of giving it its own folder, and a note on each chapter. If not, then it will be one really long note like a reading log
Theoretical Neuroscience - Peter Dayan and L. F. Abbott
Biology
Hippocampus
This is a very general concept, but I am a little rough on my biology, and the notes I am writing require a strong foundation. A lot of the more complex concepts branch off from notes like this one, so writing a good foundation to base further investigation off of is a good idea.
Computational
Quite similar to theoretical, but I like to think of this as more the math side of things to learn, whereas theoretical covers concepts more specifically atuned to neuroscience, aka theta rhythm.