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Neural Regulation01:37

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Variability: Analysis01:11

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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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Neuroplasticity01:01

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Neural Circuits01:25

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
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In the CNS, neurogenesis, the birth of new neurons from stem cells, is limited to the hippocampus in adults. In other regions of the brain and spinal cord, neurogenesis is almost non-existent due to inhibitory influences from neuroglia, especially oligodendrocytes, and the absence of growth-stimulating cues. The myelin produced by oligodendrocytes in the CNS inhibits neuronal regeneration. Furthermore, astrocytes proliferate rapidly after neuronal damage, forming scar tissue that physically...
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Related Experiment Video

Updated: Apr 12, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Neural variability: friend or foe?

Ilan Dinstein1, David J Heeger2, Marlene Behrmann3

  • 1Department of Psychology, Ben Gurion University, PO Box 653, Beer Sheva 84105, Israel.

Trends in Cognitive Sciences
|May 17, 2015
PubMed
Summary
This summary is machine-generated.

Neural variability, or brain noise, impacts learning and is linked to clinical disorders. Measuring this variability offers insights into conditions like autism and brain development.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Developmental Psychology

Background:

  • Brain function exhibits significant moment-to-moment variability, even with consistent stimuli.
  • This within-subject neural variability has potential developmental, cognitive, and clinical implications.

Purpose of the Study:

  • To explore the significance of neural variability.
  • To investigate the role of neural variability in learning and clinical disorders.
  • To propose measuring neural variability for insights into neuropathology, particularly in autism.

Main Methods:

  • The study proposes analyzing distinct types of neural variability.
  • Focus on comparing neural variability across different conditions and developmental stages.

Main Results:

  • Neural variability appears beneficial for learning.
  • Excessive neural variability is observed in various clinical disorders.
  • Distinct patterns of neural variability may characterize specific neuropathologies.

Conclusions:

  • Measuring neural variability is crucial for understanding brain function across the lifespan.
  • Investigating neural variability in autism and other disorders can yield critical neuropathological insights.
  • Further research into neural variability is essential for developmental and clinical neuroscience.