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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...
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...
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.
The Synapse02:47

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
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.
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...

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Complexity in neuronal noise depends on network interconnectivity.

Demitre Serletis1, Osbert C Zalay, Taufik A Valiante

  • 1Division of Neurosurgery, Toronto Western Hospital, Toronto, ON, M5T 2S8, Canada. demitre.serletis@utoronto.ca

Annals of Biomedical Engineering
|February 25, 2011
PubMed
Summary
This summary is machine-generated.

Neuronal noise-like activity (NLA) complexity changes with network connectivity. Reduced interconnectivity increases NLA complexity, offering insights into brain dynamics and network state transitions.

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Published on: January 10, 2015

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cellular Neuroscience

Background:

  • Noise-like activity (NLA) represents background electrical membrane potential fluctuations in the nervous system.
  • NLA is crucial for understanding brain dynamics and cellular-level electrical activity.

Purpose of the Study:

  • To investigate the complexity of neuronal NLA in the mouse hippocampus.
  • To determine the role of network connectivity, specifically gap junctions and chemical synapses, in modulating NLA complexity.

Main Methods:

  • Whole-cell voltage recordings from CA3 region neurons (interneurons and pyramidal neurons) in intact mouse hippocampus.
  • Application of complexity measures from dynamical systems theory, including 1/f(γ) noise and correlation dimension.
  • Systematic blockade and washout of gap junction and chemical synaptic transmission to alter neuronal network interconnectivity.

Main Results:

  • Neuronal NLA exhibits complexity dynamics, varying from high to low.
  • NLA complexity is significantly influenced by gap junction and chemical synaptic transmission.
  • Progressive isolation of neurons led to the emergence of high-complexity NLA dynamics.
  • Restoring network interconnectivity resulted in a return to low-complexity NLA behavior.

Conclusions:

  • Increased NLA complexity is associated with reduced neuronal network interconnectivity.
  • NLA signal complexity is a potential indicator of network state transitions in the brain.
  • Findings suggest NLA complexity is important for studying normal and abnormal brain dynamics, such as in epilepsy.