2011 - Neural Words. This chapter proposed to NLM charts a path from Object Recognition to sub-linguistic Symbolic Neuronal Operations or SNOPS. For neocortex to carry out the extreme sub-conscious information processing that it does, it must use compact and portable neuronal representations, aka Neural Words.
2015 From Synapses to Knowledge Integration: Synaptic Learning Theory
These 2 posters, by Annie Bryant (NU/BNS) and myself, seek to chart a path from our DMRs to the storage and integration of new knowledge into our neocortical and MTL circuitry. The first poster (Quinnipiac) traces information flow into our CNS/conscious experience, storage in our DMRs and integration via symbolic neuronal operations (SNOPS) into declarative memory/knowledge, thus advancing the theme of Synaptic Learning Theory. All Knowledge enters via our DMRs. The second poster (UNE/NURDS) is an extension of the first focusing more on neural representation, oscillations and knowledge architectures (but it overlaps quite a bit with the first poster). Both posters fall within the genre of synthetic neuroscience and as such are highly speculative: all neuroscientists are welcome to use these ideas freely in their research.
Synaptic Learning Theory shown at Quinnipiac/NEURONS-Feb. Blizzard Bryant & O'Malley 2015a
Knowledge Integration (+ABT by Annie)- Univ. New England-Mar Blizzard Bryant & O'Malley 2015b
2016 - Role of Auto-Associative Networks in Memory Loss with Age
AAN's are the foremost paradigm of memory storage in mammalian CNS. But how badly are AANs damaged in Alzheimer's disease? Based on theoretical considerations, fMRI connectivity studies and observed functional deficits, we suggest that our memories fail (at least initially) due to failing connections between AANs. Padani, Bunce & O'Malley, 2016.