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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Physiology of Respiration II: Neurogenic Control of Respiration01:22

Physiology of Respiration II: Neurogenic Control of Respiration

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The neurogenic control of respiration coordinates various neural networks and pathways to regulate breathing rate and depth, meeting the body's oxygen and carbon dioxide exchange requirements. This system adapts to physiological and environmental conditions, ensuring optimal breathing patterns.
Central Control
The brainstem is the primary site of central control, hosting respiratory centers:
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Hearing01:31

Hearing

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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Neural Control of Respiration01:18

Neural Control of Respiration

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The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
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Larynx01:21

Larynx

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The human larynx, often referred to as the voice box, is an intricate organ located in the neck. It serves as a pathway for air to enter the lungs during respiration and is an essential component of voice production.
Anatomy of the Larynx
The larynx consists of various components, including cartilage, muscles, and vocal cords. Its structure includes three large unpaired cartilages—the thyroid, cricoid, and epiglottis—and three smaller paired cartilages—the arytenoids,...
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Neural Dynamics of Automatic Speech Production.

Amirhossein Khalilian-Gourtani, Chenqian Le, Faxin Zhou

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    Automatic speech engages a widespread brain network, challenging traditional views of the speech motor cortex. This study reveals complex feedforward and feedback dynamics in neural control during overlearned speech tasks.

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    Area of Science:

    • Neuroscience
    • Speech Motor Control
    • Computational Neuroscience

    Background:

    • The speech motor cortex is crucial for human speech.
    • Traditional views limit its role to articulation and somatosensation.
    • Automatic speech processing remains poorly understood.

    Purpose of the Study:

    • Investigate neural dynamics during automatic speech production.
    • Examine cortical recruitment and timing in overlearned speech.
    • Clarify the role of speech motor cortex in automatic speech.

    Main Methods:

    • Intracranial electrocorticography (ECoG) recordings from the left perisylvian cortex.
    • Encoding models (multivariate temporal response function).
    • Decoding models (deep neural network speech synthesis).

    Main Results:

    • Automatic speech involves a distributed network (superior temporal, precentral, post-central cortices).
    • Attenuated pre-articulatory activity and weaker frontal encoding observed.
    • Speech motor cortex shows mixed feedforward/feedback signals, with some exclusively feed-forward sites.

    Conclusions:

    • Automatic speech utilizes a broader cortical network than previously thought.
    • Speech motor cortex exhibits complex dynamics beyond purely feedforward control.
    • Findings redefine the spatiotemporal organization of automatic speech processing.