>From a 2016 paper by Ingber: "Using this theory as a guide, discoveries were made that indeed modeled various aspects of neocortical interactions, e.g., properties of STM −− e.g., capacity (auditory 7 ± 2 and visual 4 ± 2), duration, stability , primacy versus recency rule, Hick’s law, nearest-neighbor minicolumnar interactions within macrocolumns calculating rotation of images, etc (Ingber, 1982, 1983, 1984, 1985a, 1994). SMNI was also scaled to include mesocolumns across neocortical regions to fit EEG data, as it used here as well (Ingber, 1997a, 2012). The resulting mathematics is used here for SMNI modeling of EEG data, further generalized to include possible interactions with Ca2+ molecular processes."
Statistical mechanics of neocortical interactions: Large-scale EEG influences on molecular processes <https://arxiv.org/pdf/1206.6286.pdf> On Wed, Dec 23, 2020 at 10:27 AM Matt Mahoney <[email protected]> wrote: > To summarize, the secret to solving AGI is to reproduce the > electromagnetic noise produced by neurons. No experimental evidence is > provided. > > Really? > > On Fri, Dec 18, 2020, 11:28 PM Colin Hales <[email protected]> wrote: > >> Hi, >> For a very long time I have been trying to articulate a fundamental issue >> in the conduct science of AI (AGI). The issue is the proper conduct of the >> science such that we can know, with empirical certainty, whether and under >> what circumstances, a general-purpose computed abstract model of nature >> (the brain) has functional equivalence with the nature (the brain). >> >> It's taken 10 years of brutal grind, but I think I have found the >> mature/accurate shape of the argument, the proper nature of the problem, >> and the way forward. >> >> I have completed the paper to preprint stage before I go to a journal for >> the final peer review meat-grinder. >> >> So for a bit of a quiet read while the world self-immolates over the next >> couple of weeks: >> >> Hales, C.G. (2020). The Model-less Neuromimetic Chip and its >> Normalization of Neuroscience and Artificial Intelligence. >> https://doi.org/10.36227/techrxiv.13298750.v2 >> >> 1 main article. >> 2 supplementary supporting articles. >> 4 videos from a computational EM study. >> >> Many of you will find previous discussions here remain part of it. It's >> been quite a job to get to the bottom of the matter. >> >> I hope it makes sense of a difficult issue. >> >> Take care out there, >> >> cheers, >> Colin >> > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/Tf319c0e4c79c9397-Mbb01b39dee87b8d26104b315> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tf319c0e4c79c9397-M66e33ff9d19285e93115781e Delivery options: https://agi.topicbox.com/groups/agi/subscription
