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Related Concept Videos

Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Long-term Potentiation01:35

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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...
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.
Postsynaptic Potential (PSP)01:32

Postsynaptic Potential (PSP)

Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...

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Related Experiment Video

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3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Anti-hebbian spike-timing-dependent plasticity and adaptive sensory processing.

Patrick D Roberts1, Todd K Leen

  • 1Biomedical Engineering, Oregon Health and Science University Portland, OR, USA.

Frontiers in Computational Neuroscience
|January 14, 2011
PubMed
Summary
This summary is machine-generated.

Adaptive sensory processing helps the nervous system ignore predictable stimuli. Anti-Hebbian spike-timing-dependent plasticity (STDP) in electric fish explains how neural networks adapt to focus on novel information.

Keywords:
descending controlelectrosensorylearning dynamicsmormyridstabilitystochastic

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Sensory Systems Biology

Background:

  • Adaptive sensory processing enables the central nervous system to filter predictable information, prioritizing novel stimuli for task performance.
  • Spike-timing-dependent plasticity (STDP) plays a dual role in memory formation and neural response optimization.
  • Weakly electric fish provide a model system for studying STDP and adaptive sensory processing.

Purpose of the Study:

  • To review the link between theoretical predictions and functional consequences of anti-Hebbian STDP.
  • To focus on adaptive processing within the electrosensory system of weakly electric fish.
  • To explore how STDP contributes to predictive sensory cancelation and novelty detection.

Main Methods:

  • Review of in vitro, in vivo, and modeling studies.
  • Analysis of anti-Hebbian STDP learning rules and their stability constraints.
  • Examination of functional consequences in the electrosensory system.

Main Results:

  • Anti-Hebbian STDP weakens presynaptic inputs that repeatedly precede postsynaptic firing.
  • Stable learning dynamics of anti-Hebbian STDP allow for clear predictions of functional outcomes.
  • The electrosensory system of weakly electric fish demonstrates clear links between STDP and adaptive processing.

Conclusions:

  • Anti-Hebbian STDP is crucial for adaptive sensory processing, enabling predictive sensory cancelation and novelty detection.
  • Principles of anti-Hebbian STDP in electric fish may apply to adaptive processing in other neural systems.
  • Understanding STDP dynamics offers insights into optimizing sensory tuning and neural function.