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Related Concept Videos

Classification of Skeletal Muscle Relaxants01:28

Classification of Skeletal Muscle Relaxants

Skeletal muscle relaxants are a group of drugs that can reduce muscle stiffness and induce temporary paralysis to relieve pain. These agents can act centrally to reduce muscle tone or spasms in painful conditions such as multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), or spinal injuries; they are called antispasmodics or spasmolytics.
Peripherally acting skeletal muscle relaxants interfere with the neurotransmission at the neuromuscular end plate to induce paralysis during...
Skeletal Muscle Relaxants: Therapeutic Uses01:31

Skeletal Muscle Relaxants: Therapeutic Uses

Skeletal muscle relaxants are used to relax muscle tone and alleviate painful muscle contractions. However, the choice of skeletal muscle relaxants depends on the duration of the surgical procedure in order to minimize potential side effects. Skeletal muscle relaxants like neuromuscular blocking agents [NMBAs] are commonly employed as adjuvants alongside general anesthetics in clinical settings. NMBAs are also used to maintain controlled ventilation during surgery of the larynx or pharynx as...
Peripherally and Centrally Acting Muscle Relaxants: A Comparison01:09

Peripherally and Centrally Acting Muscle Relaxants: A Comparison

Skeletal muscle relaxants can target the central nervous system [CNS] to reduce muscle tension or act directly at the neuromuscular junction to induce temporary paralysis. These two classes of muscle relaxants are called centrally acting muscle relaxants and peripherally acting muscle relaxants. They differ in their action, mechanism, administration route, and clinical uses.
Centrally acting muscle relaxants can be further divided into spasmolytic and antispasmodic drugs. Spasmolytic drugs,...
Centrally Acting Muscle Relaxants: Therapeutic Uses01:24

Centrally Acting Muscle Relaxants: Therapeutic Uses

Centrally acting muscle relaxants reduce muscle tone and tension by interfering with the postsynaptic reflexes in the central nervous system.
Centrally acting drugs are classified into spasmolytic and antispasmodic drugs. Spasmolytic drugs such as baclofen, diazepam, and tizanidine inhibit spinal motor neurons and decrease muscle tone. Spasmolytic drugs are administered for severe and chronic spasms due to multiple sclerosis, cerebral palsy, stroke, and spinal cord and muscle injuries. However,...
Relaxation of Skeletal Muscles01:29

Relaxation of Skeletal Muscles

The period of muscle contraction primarily influences the duration of stimulation at the neuromuscular junction (NMJ), the presence of free calcium ions in the sarcoplasm, and the availability of energy or ATP to support contractions.
When an action potential reaches the axon terminal, it depolarizes the membrane and opens voltage-gated sodium channels. Sodium ions enter the cell, further depolarizing the presynaptic membrane. This depolarization causes voltage-gated calcium channels to open.
Directly Acting Muscle Relaxants: Dantrolene and Botulinum Toxin01:26

Directly Acting Muscle Relaxants: Dantrolene and Botulinum Toxin

Directly acting muscle relaxants like dantrolene and botulinum toxin (BoNT) have distinct mechanisms and applications. Dantrolene, a hydantoin derivative, acts on the ryanodine receptor (RYR1) in skeletal muscle cells. RYR1 are calcium channels present at the sarcoplasmic reticulum membrane. In response to excitation, they release calcium ions from the sarcoplasmic reticulum to the cytosol. Calcium promotes actin-myosin-mediated contraction of muscles.
The binding of dantrolene to the RYR1...

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Minimally Invasive Surgical Decompression of Occipital Nerves
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Minimally Invasive Surgical Decompression of Occipital Nerves

Published on: September 13, 2024

Neural relax.

Elisa Benedetti1, Marco Budinich

  • 1Physics Department and INFN, Trieste 34127, Italy. elibene@gmail.com

Neural Computation
|August 28, 2012
PubMed
Summary
This summary is machine-generated.

We introduce a novel self-organizing algorithm for feedforward networks. This algorithm, inspired by electrostatics, demonstrates a strong connection to information maximization principles.

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Area of Science:

  • Computational neuroscience
  • Artificial intelligence
  • Information theory

Background:

  • Feedforward networks are fundamental in machine learning and neuroscience.
  • Understanding self-organization principles is crucial for developing adaptive systems.
  • Information maximization offers a theoretical framework for learning and adaptation.

Purpose of the Study:

  • To propose a new self-organizing algorithm for feedforward networks.
  • To explore the relationship between electrostatic principles and information maximization in neural networks.
  • To develop a computationally efficient and adaptive learning mechanism.

Main Methods:

  • Development of a novel algorithm based on electrostatic interactions.
  • Simulation of the algorithm on feedforward network architectures.
  • Analysis of information-theoretic properties of the network dynamics.

Main Results:

  • The proposed algorithm demonstrates effective self-organization in feedforward networks.
  • A clear link was established between the electrostatic-inspired dynamics and information maximization.
  • The algorithm shows potential for unsupervised learning and feature extraction.

Conclusions:

  • The electrostatic-inspired algorithm provides a new paradigm for self-organizing feedforward networks.
  • Information maximization serves as a guiding principle for the emergent network properties.
  • This work bridges concepts from physics and information theory for advancements in AI and neuroscience.