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Related Concept Videos

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.
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...
Electrical Synapses01:28

Electrical Synapses

Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
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...
Action Potential01:14

Action Potential

Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
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...

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Published on: March 2, 2015

Energy coding in biological neural networks.

Rubin Wang1, Zhikang Zhang

  • 1Institute for Brain Information Processing and Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, Meilong Road 130, Shanghai, 200237, P.R. China, rbwang@163.com.

Cognitive Neurodynamics
|November 13, 2008
PubMed
Summary
This summary is machine-generated.

We propose a new energy coding theory explaining brain information processing. This model links neural activity, energy consumption, and cognitive functions, successfully reproducing experimental data.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Signal transmission and neuronal energy demands are closely linked to information coding in the cerebral cortex.
  • Existing models do not fully bridge the gap between neural network function and energy expenditure.

Purpose of the Study:

  • To present a novel scientific theory for brain information processing based on energy coding.
  • To demonstrate that neural coding aligns with the proposed energy coding model.

Main Methods:

  • Developing a theoretical framework based on biophysical properties of neural networks.
  • Applying the energy coding model to explain existing neuro-electrophysiology data.
  • Validating the model against recent experimental findings from Yale University.

Main Results:

  • The energy coding theory accurately describes neural coding observed in brain activity.
  • The model successfully reproduces various experimental results in neuro-electrophysiology.
  • Quantitative explanations for recent experimental findings are provided by the energy coding principle.

Conclusions:

  • The energy coding theory offers a unique mechanism for brain information processing.
  • This theory bridges the gap between biological neural network connectivity and energy consumption.
  • The energy coding framework has significant implications for the quantitative study of cognitive functions.