Neurotechnology: Tip of the Spear

NEUROTECH 3000:  The FUTURE is iCR
We use the term iCR (intra-Cranial Recording) to refer to invasive, human, neuron-recording technologies: single-unit, sEEG, ECoG, Neuropixels, Utah array and other kinds of MEA technologies / multi-electrode arrays.  What they have in common is msec temporal resolution and single-cell or small neuronal-circuit spatial resolution, leaving EEG and fMRI in the dust (sorry last-century methods).  This page shares some of our favorite iCR literatures (which most def benefit from the ancestral technologies).  Commentaries will relate interesting iCR results to modern Neuro-Generative Grammar and Syntactic Discovery theory, couched in an evolution/Ancient Origins/Neocortical Expansion perspective.

DINOC's  iCR Playground

The BEST Intra-Cranial Recordings?   No doubt more iCR research has been missed than we've perused:  a rich and vibrant literature!  Items of relevance to NGG / WDSCF research are shared here.  Christian Herff (2023, above) nicely introduces key iCR technologies and their potential to enable Speech Production via Brain-Machine Interfaces / BMI's.

Regev at al. 2024 (w/ Ev-F, MIT) see many temporal and frontal locations with distinct selectivity over the course of 8-word sentences.  Build-up of gamma activity across sentences (high-TRW; see Fig. at right =>) relates perhaps to Syntactic Discovery where language circuits combine semantic info with linguistic patterns to arrive at the overall meaning of sentences.
Murphy et al. 2022 report granular responsiveness in posterior STS for lexical vs, phrase details.  Phrase resolution was ~2x faster than pseudo-word processing (roughly 250 vs. 500 msec) reflecting both a syntactic need-for-speed and the greater computational challenges imposed by pseudowords:  J. Neurosci. w/ Woolnough, Hagoort, others.

Jamali et al. 2024 single-unit study of Semantic Encoding digs deeper into the prefrontal organization of words and their meanings.  This ties into data structures (see DINOC's AANs review) wherein semantically-related items are clustered for sub-linguistic, symbolic operations (SNOPs-sub).  Much more in Nature (w/ Ziv, Ev and Sydney Cash).

WE SELL PDFs

JK: we sell NOTHING on this website.  Donations  to G.T. McConnville Foundation welcome.  THIS PAGE under expansion.  Classical (and Recent) EEG and fMRI studies have lain a foundation for present-day works (2020 to 2030), but to get at neuron-level operations, iCR is exploding and MEG gives corresponding global coverage at one msec temporal resolution.

We cover all typeS OF SNOPs!

TOP PDFs have been DESIGNATED for TERMINATION, um, we mean for new COMMENTARIES.   Why SyFy always be creeping into our Science...

MORE iCR findings to come!
web.com is OK.

MORE iCR Playground: an SCIP Wild World

Though we can think about the meanings of things, like trees and semesters, the thoughts cropping into our SoC (Stream of Consciousness) arise via some unknown mechanisms.  When we solve problems, consider plans, make decisions, all this stems from SCIP, our Sub-Conscious Information Processing.  We can't see this, but iCR can!
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The Phonological Stream is where Language Reception begins.  Lang. Comprehension is the ultimate stage--but in order to parse words from an auditory cacophony, we need neuronal decodings as neatly explored by Leonard's crew (in Nature, 2023).

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To quote Cat Stevens, "Oh Baby it's a Wild World" and its hard to keep up with iCR girl.  This eclectic sampling of iCR aims to convey the breadth of this space and how it might advance the WDSCF challenge:  NGG is but the Tip of the Iceberg: it is the engine powering the Surface Structure of language that we can quasi-see as sentences.  But lurking in the Sub-Conscious Info Processing / SCIP domain, is where SNOPs-sublinguistic takes place-- the underlying Deep Structure, aka the Semantic Construction layer (SNOPs-sub).  And, we suspect, this neuronal infrastructure is vast [see deltaBV on the WDSCF page].