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Related Concept Videos

Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential.
Integration of Synaptic Events01:28

Integration of Synaptic Events

Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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...
Electrochemical Gradient and Channel Proteins: An Overview01:21

Electrochemical Gradient and Channel Proteins: An Overview

An electrochemical gradient is a fundamental concept in biology and chemistry. It regulates the movement of ions across cell membranes. This movement is influenced by two factors:
The electrical gradient: The electrical gradient across cell membranes refers to the difference in electric charge between the inside and outside of a cell.  This difference drives the movement of ions towards or away from the cells. For instance, if the inside of the cell is more negatively charged relative to the...
Action Potentials01:41

Action Potentials

Overview

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Related Experiment Video

Updated: Jul 7, 2026

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices
12:51

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices

Published on: November 29, 2012

Forward- and backpropagation in a silicon dendrite.

C Rasche1, R J Douglas

  • 1Institute of Neuroinformatics, CH-8057 Zürich, Switzerland.

IEEE Transactions on Neural Networks
|February 5, 2008
PubMed
Summary

Researchers created an analog very-large-scale integrated (aVLSI) circuit that mimics a neuronal dendrite. This silicon dendrite accurately models electrotonic properties and synaptic integration for real-time neuron emulation.

Area of Science:

  • Neuroscience
  • Electronic Engineering
  • Computational Biology

Background:

  • Neuronal dendrites are complex structures crucial for information processing.
  • Mathematical models of passive cables approximate dendritic electrotonic behavior.
  • Emulating dendritic function in electronic circuits is challenging.

Purpose of the Study:

  • To develop an analog very-large-scale integrated (aVLSI) circuit that emulates a neuronal dendritic compartmental model.
  • To create a silicon-based system capable of real-time emulation of neuronal electrical activities.

Main Methods:

  • Implemented horizontal conductances using a switched capacitor network.
  • Utilized transconductance amplifiers for transmembrane conductances.
  • Designed a silicon cable with electrotonic properties similar to ideal passive cables.

More Related Videos

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software
07:45

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Published on: September 27, 2024

Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices
10:35

Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices

Published on: March 15, 2018

Related Experiment Videos

Last Updated: Jul 7, 2026

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices
12:51

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices

Published on: November 29, 2012

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software
07:45

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Published on: September 27, 2024

Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices
10:35

Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices

Published on: March 15, 2018

Main Results:

  • The aVLSI circuit qualitatively replicates the electrotonic properties of ideal passive cables.
  • Realistic emulation of excitatory postsynaptic potential propagation was achieved.
  • Successfully emulated synaptic integration models like direction selectivity.
  • Demonstrated emulation of backpropagating somatic spikes and bursts into the dendrite.

Conclusions:

  • The developed silicon dendrite is suitable for integration into detailed silicon neurons.
  • Enables real-time emulation of both forward and backpropagating electrical activities found in biological neurons.
  • Offers a powerful platform for studying neuronal computation and developing neuromorphic systems.