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Related Concept Videos

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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.
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

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 the...

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Related Experiment Video

Updated: May 31, 2026

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation
12:09

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

Statistical Signal Processing and the Motor Cortex.

A E Brockwell1, R E Kass, A B Schwartz

  • 1A. Brockwell and R. Kass are with the Department of Statistics at Carnegie Mellon University. A. Schwartz is with the Department of Neurobiology at the University of Pittsburgh.

Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|July 19, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method using Markov chain Monte Carlo (MCMC) for brain-computer interfaces. This approach enhances motor cortex control for prosthetics and cursors by expanding model possibilities.

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Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
08:26

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Published on: July 1, 2019

Related Experiment Videos

Last Updated: May 31, 2026

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation
12:09

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
08:26

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Published on: July 1, 2019

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Biology

Background:

  • Technological advancements have greatly improved brain activity measurement.
  • Understanding brain function is crucial for developing brain-computer interfaces (BCIs).
  • Motor cortex activity is key for controlling external devices.

Purpose of the Study:

  • To explore advanced methods for motor cortex-based BCIs.
  • To introduce Markov chain Monte Carlo (MCMC) for parameter estimation in state-space models for BCIs.
  • To expand the range of models applicable to BCI control.

Main Methods:

  • Utilized a likelihood-based state-space model and filtering approach.
  • Introduced Markov chain Monte Carlo (MCMC) methods for parameter estimation.
  • Applied the methodology to experimental data from monkey motor cortex activity.

Main Results:

  • Demonstrated the application of MCMC for parameter estimation in BCI models.
  • Showcased the ability to expand the range of explorable models.
  • Obtained successful results when applying the methodology to experimental data.

Conclusions:

  • MCMC methods offer a viable alternative to maximum likelihood estimation for BCI parameter estimation.
  • This approach allows for greater model flexibility in brain-machine interfaces.
  • The study validates the methodology using real-world neurophysiological data.