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NEW YORK DAWN™ > Blog > Health > Neural waves research gives proof that mind’s rhythmic patterns play key function in info processing
Neural waves research gives proof that mind’s rhythmic patterns play key function in info processing
Health

Neural waves research gives proof that mind’s rhythmic patterns play key function in info processing

Last updated: February 7, 2025 4:10 am
Editorial Board Published February 7, 2025
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Schematic illustration of the “Harmonic Oscillator Recurrent Network Model” (HORN). Credit score: ESI

Researchers on the Ernst Strüngmann Institute in Frankfurt am Important, Germany, led by Wolf Singer, have made a brand new discovery in understanding basic mind processes. For the primary time, the crew has offered compelling proof that the mind’s attribute rhythmic patterns play a vital function in info processing. Whereas these oscillatory dynamics have lengthy been noticed within the mind, their objective has remained principally elusive till now.

The research has the potential to remodel our understanding of mind exercise. Utilizing laptop simulations, the researchers present that recurrent networks with oscillating nodes show higher efficiency in comparison with non-oscillating networks and replicate many experimentally noticed phenomena.

These findings point out that oscillatory dynamics aren’t simply an epiphenomenon however are important for environment friendly computation within the mind. The work is revealed within the journal Proceedings of the Nationwide Academy of Sciences.

Moreover, the research demonstrates that incorporating heterogeneity in community parameters, reminiscent of introducing totally different oscillation frequencies and conduction delays, additional enhances community efficiency. This means that the heterogeneity noticed in organic networks is not only a results of nature’s imprecision however a signature of a computational substrate optimized for environment friendly computation of stimuli with extremely various properties.

“Our findings challenge the traditional view of brain dynamics, which often assumes rather localized information processing,” stated Felix Effenberger, first creator of the research. “Instead, we propose that the brain uses waves to perform computations in a highly distributed and parallelized manner. The interference patterns produced by such wave-based responses facilitate a holistic representation and highly distributed encoding of both spatial and temporal relationships among stimulus features”.

Networks function a medium for producing waves

The researchers suggest a novel interpretation of neuronal dynamics wherein networks function a medium for producing and propagating waves quite than functioning as an advanced circuit board with well-defined and directed sign flows, as assumed by present theories in neurobiology and as can be the case in typical digital computer systems.

The authors of the research counsel that the mind makes use of the superposition and interference patterns of waves to characterize and course of info in a extremely distributed approach, exploiting the distinctive properties of coupled oscillator networks reminiscent of resonance and synchronization.

“This is a major step forward in our understanding of how the brain computes,” stated Singer, senior creator of the research. “The computational technique proposed is ideally fitted to cognitive features requiring the simultaneous analysis of enormous numbers of nested relations between spatial and temporal stimulus options.

“Such tasks need to be solved to comprehend visual scenes and language. Furthermore, the proposed computational strategy provides a mechanism for solving the ‘Binding Problem,’ confirming the hypothesis that feature binding— the joint evaluation of features belonging to an object—can be achieved by synchronizing oscillatory responses.”

Past its vital contributions to neuroscience, the findings pave the way in which for the event of novel, energy-efficient chips for synthetic intelligence—for instance, within the improvement of recent, considerably extra energy-efficient technical elements. The authors suggest a departure from typical digital designs, advocating for analog chips impressed by the dynamic processes of the mind.

In addition they counsel that their findings might information the event of a brand new technology of AI programs which might be extra strong, energy-efficient, and higher outfitted to study on smaller datasets. This research vastly enhances our understanding of how the mind processes info and paves the way in which for brand spanking new analysis alternatives in neuroscience and synthetic intelligence.

Extra info:
Felix Effenberger et al, The useful function of oscillatory dynamics in neocortical circuits: A computational perspective, Proceedings of the Nationwide Academy of Sciences (2025). DOI: 10.1073/pnas.2412830122

Supplied by
Max Planck Society

Quotation:
Neural waves research gives proof that mind’s rhythmic patterns play key function in info processing (2025, February 6)
retrieved 6 February 2025
from https://medicalxpress.com/information/2025-02-neural-evidence-brain-rhythmic-patterns.html

This doc is topic to copyright. Other than any honest dealing for the aim of personal research or analysis, no
half could also be reproduced with out the written permission. The content material is offered for info functions solely.

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