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Symbolic Neuronal Operations
Human Flash Memory ==> Daily Memory Records
Originally called "Conscious Record Memory" (Gioioso & O'Malley, 2009), we now prefer the term "Flash Memory" to describe the effortless, one-trial process by which day-long, Daily Memory Records (DMRs) are written. The FM process is distinct from those probed by most memory and cognitive task investigated today. Theoretical aspects of FM were presented in 2011 at SFN, while the 2011 Neuroinformatics Congress poster focuses on symbolics. Analyses by Samantha Ganz were presented in 2012 at CSHL, and an update on symbolic operations was presented at CNS-Boston in 2014. The paper submitted to FINS was declined; its reach was a bit excessive.
Research Papers
First presented at the Chicago SFN meeting, this poster covers the salient basics of CRM or Flash Memory.
This poster focuses on Symbolic Aspects of DMRs
Ganz tabulates the items that comprise DMRs
Features an analysis of Symbolic Neuronal Operations or SNOPs and suggests that NEURAL WORDS are evolutionary deep and contributed to the emergence of language-SNOPs
Both appear to have deep evolutionary roots. Semantics Comes From Experience. Conscious experience. Evolutionary learning of Universal Physics provides the basis of our linguistic Universal Grammar. FINS declined to publish.
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.
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.
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. In collaboration with BNS Professor Jamie Bunce and BNS undergrad Shezal Padani.
This presentation at Quinnipiac-Neuron offers new theory of how information packets are routed thru neocortex to store DMRs, which are the raw material of all declarative thought. Within the context of current research on symbolic operations, we critique the oft-assumed (but rarely mentioned) assumption of single-line coding and show how packets can facilitate the emergence of new AAN connections, which are consciously experienced as cognitive advancement.
This second poster with Carla Belloch Arango features the "Mind Food Pyramid", start from synaptic principles and real world items, to animal communications and "basic" symbol processing and leading to the Universal Physics and Neural Words that underlie our Universal Grammar and the unprecedented cognitive capabilities of Homo sapines.
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This Hashemi and O'Malley Abstract and Poster, for Boston's 2018 BANG meeting, explores the creation of Gap Models that incorporate pathology parameters into neuronal-network models of cognitive operations.
By Melissa B. McElligott & Donald M. O’Malley, presented at the 2017 Gordon Conference on Undergraduate Biology Education at Stonehill College. This poster examines The Learning Universe in the context of how different learning/teaching styles engage human neocortex and its billions of processors. We identify tradeoffs between bandwidth (bits per second instructed) and topic dwell time (more time allows for more active learning approaches) and also discuss analogical reasoning, innate knowledge and universal grammar/physics in this context.