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Related Concept Videos

Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
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Motor and Sensory Areas of the Cortex01:14

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Lobes of the Cerebrum01:22

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The cerebral cortex, a critical structure of the brain, is intricately divided into two hemispheres, each consisting of four distinct lobes: occipital, temporal, frontal, and parietal. These lobes function cooperatively to regulate various cognitive and sensory functions, forming the basis of our complex neural capabilities.
Frontal lobe
The frontal lobes, located behind the forehead, are the command center of our brain, controlling personality, intelligence, and voluntary muscle movements....
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Cerebrum: Anatomical Overview II01:11

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Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
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Association Areas of the Cortex01:21

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
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Related Experiment Video

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What must a global theory of cortex explain?

Leslie G Valiant1

  • 1School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.

Current Opinion in Neurobiology
|April 9, 2014
PubMed
Summary

Computational neuroscience lacks a unifying theory for cognitive functions. Applying quantitative computational complexity principles from computer science is crucial for developing successful theories of cortical computation.

Area of Science:

  • Neuroscience
  • Computer Science
  • Cognitive Science

Background:

  • A universally accepted theory explaining cognitive phenomena from cortical computations is currently absent.
  • There is no consensus on how to effectively refocus research efforts for a more fruitful pursuit of such a theory.

Purpose of the Study:

  • To propose that computational neuroscience must incorporate quantitative concerns, specifically computational complexity, to advance.
  • To argue that the lack of such quantitative considerations hinders the development of theories of cortical computation.

Main Methods:

  • Observational analysis of research trends in computer science.
  • Comparative analysis of computational challenges in computer science and their potential relevance to neuroscience.

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Main Results:

  • Computer science research demonstrates that significant computational phenomena necessitate overcoming inherent quantitative impediments like computational complexity.
  • The absence of similar quantitative considerations in computational neuroscience suggests a potential reason for the lack of progress.

Conclusions:

  • Computational neuroscience needs to adopt quantitative principles, akin to those in computer science, to develop plausible theories of cortical computation.
  • The brain is unlikely to be an exception to the rule that complex computations require addressing quantitative challenges.