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Related Concept Videos

Neural Circuits01:25

Neural Circuits

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.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuroplasticity01:01

Neuroplasticity

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.
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
Neuron Structure01:30

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...
Neuron Structure01:31

Neuron Structure

Overview
Neurons: The Axon01:21

Neurons: The Axon

Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment.

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Related Experiment Video

Updated: Jul 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Neural networks-then and now.

G Nagy1

  • 1Dept. of Electr. Comput. and Syst. Eng., Rensselaer Polytech. Inst., Troy, NY.

IEEE Transactions on Neural Networks
|January 1, 1991
PubMed
Summary

Neural networks, pioneered by Frank Rosenblatt in the 1960s, were developed for engineering applications. These networks, trained with variable-weight connections, demonstrated the ability to classify spatial patterns.

Area of Science:

  • Computer Science
  • Neuroscience
  • Engineering

Background:

  • The 1960s saw the emergence of neural networks as a distinct field.
  • Early research aimed to explain the central nervous system's function.
  • Frank Rosenblatt's work laid the foundation for neural network applications.

Purpose of the Study:

  • To trace the emergence of neural networks in the 1960s.
  • To demonstrate the application of neural networks in engineering.
  • To explore biologically plausible explanations for neural functions.

Main Methods:

  • Mathematical analysis of neural networks.
  • Digital computer simulations.
  • Experiments with parallel analog systems.

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Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Related Experiment Videos

Last Updated: Jul 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Main Results:

  • Variable-weight connections enabled training for spatial pattern classification.
  • Both simple and complex networks were investigated.
  • The work inspired significant research activity.

Conclusions:

  • Neural networks showed early promise for pattern classification tasks.
  • The interdisciplinary approach (theoreticians, experimentalists, technologists, biologists) was crucial.
  • Rosenblatt's research catalyzed a wave of activity in the field.