AHCI RESEARCH GROUP

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2023

Ormandy, R.

From synapses to ephapsis: Embodied cognition and wearable personal assistants Book Section

In: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition, pp. 205–222, Elsevier, 2023, ISBN: 978-032396104-2 (ISBN); 978-032395816-5 (ISBN).

Abstract | Links | BibTeX | Tags: Embodied Cognition, Ephapsis, Motor action, Neural dynamics, Neural populations, Resonance, Synapses, Wearable assistants

@incollection{ormandy_synapses_2023,

title = {From synapses to ephapsis: Embodied cognition and wearable personal assistants},

author = {R. Ormandy},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179206958&doi=10.1016%2fB978-0-323-96104-2.00005-1&partnerID=40&md5=e97a7c18a1fa2e894f6d02a153497040},

doi = {10.1016/B978-0-323-96104-2.00005-1},

isbn = {978-032396104-2 (ISBN); 978-032395816-5 (ISBN)},

year  = {2023},

date = {2023-01-01},

booktitle = {Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition},

pages = {205–222},

publisher = {Elsevier},

abstract = {Despite their significant successes, neural networks typically represent relatively static memory structures and solve static classification problems. The next step in the evolution of AI systems will be the capture of the dynamic aspects of cognition. The dynamics are embodied in the ephaptic fields of the neocortex and limbic system, formed by the vast populations of resonating electric dipoles comprised of a multitude of ion channels present on the surface of each neuron. These ion-based e-fields form dynamic brainwaves, which synchronize distant areas of the cortex at the speed of light (orders of magnitude faster than axonal pulse speed) via resonance in the beta, theta, and gamma range. They are quite important for the understanding of the working of the brain. Ephaptic fields are also a perfect bridge to the motor behavior of organisms. This chapter shows that it is not only walking and grasping which is motor based, but also that vision, speech, and in fact, all perception and even memory are grounded in motor action. This has deep implications for the design of AI-based personal assistants. This chapter argues that field approach, ephapsis, and motor action are indispensable if the goal for the future generations of wearable sensor-based personal assistants is the real-time capture of user intent. Multimodal correlation of motor sensors of user daily activities is the essential ingredient, which so far eluded AI researchers and precluded wearable assistants from a wider user adoption. It turns out that thinking is embodied indeed. We discuss how recent developments in making movies from chat and merging large language models AI and 3D, can lead to a new generation of personal assistants, where metaverse, AI, and AR are coming together in the most surprising ways. © 2024 Elsevier Inc. All rights reserved.},

keywords = {Embodied Cognition, Ephapsis, Motor action, Neural dynamics, Neural populations, Resonance, Synapses, Wearable assistants},

pubstate = {published},

tppubtype = {incollection}

}