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Related Concept Videos

Parallel Resonance01:23

Parallel Resonance

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The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
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Resonance02:52

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The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N-O and N=O bonds.
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Resonance and Hybrid Structures02:16

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According to the theory of resonance, if two or more Lewis structures with the same arrangement of atoms can be written for a molecule, ion, or radical, the actual distribution of electrons is an average of that shown by the various Lewis structures.
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Concept of Resonance and its Characteristics01:19

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If a driven oscillator needs to resonate at a specific frequency, then very light damping is required. An example of light damping includes playing piano strings and many other musical instruments. Conversely, to achieve small-amplitude oscillations as in a car's suspension system, heavy damping is required. Heavy damping reduces the amplitude, but the tradeoff is that the system responds at more frequencies. Speed bumps and gravel roads prove that even a car's suspension system is not...
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Series Resonance01:17

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The RLC circuit impedance is defined as the ratio of the supply voltage to the circuit current. Resonance in such a circuit occurs when the imaginary part of this impedance equals zero. This specific condition means that the inductive reactance is exactly equal to the capacitive reactance. The frequency at which this happens is known as the resonant frequency. Mathematically, the resonant frequency is inversely proportional to the square root of the product of the inductance (L) and capacitance...
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Analog Resonance Computation: A New Model for Human Cognition.

Aidan J Byrne1

  • 1Consultant Anaesthetist, Swansea Bay University Health Board, Honorary Professor, Medical School, Swansea University, Swansea, United Kingdom.

Frontiers in Psychology
|October 5, 2020
PubMed
Summary

Human cognition is not a digital computer but an analog one. Analyzing "atypical" behavior under stress reveals how the brain extracts information to model reality and respond to threats.

Keywords:
behaviorcognitiondecision makinghuman errorlearning

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Computational Neuroscience

Background:

  • Early cognitive models viewed the brain as discrete digital modules.
  • Recent theories propose a hierarchical, entropy-reducing brain architecture.
  • High workload/stress reveals error-prone, seemingly irrational human behavior.

Purpose of the Study:

  • Re-evaluate theories of human cognition by analyzing "atypical" behavior.
  • Propose an analog computing paradigm for understanding cognitive processes.
  • Highlight the role of information extraction in building internal reality models.

Main Methods:

  • Conceptual analysis of existing cognitive models.
  • Theoretical proposal of an analog, resonating circuit model.
  • Emphasis on studying behavior under high workload/stress conditions.

Main Results:

  • "Atypical" behavior under stress is informative, not anomalous.
  • Human cognition functions as an analog computer, not a digital one.
  • The brain's primary function is information extraction for reality modeling.

Conclusions:

  • Cognitive theories should shift from digital to analog paradigms.
  • Understanding analog processes is key to explaining complex cognitive functions.
  • The brain's adaptive response to environmental complexity is central to cognition.