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Related Concept Videos

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.
Plasticity00:58

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Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
Long-term Potentiation01:25

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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
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Long-term Potentiation01:35

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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.
Plastic Deformations01:19

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Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their original...
Long-term Depression01:03

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

Updated: Jul 12, 2026

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

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Published on: November 11, 2017

Critical period plasticity enables credit assignment.

Ruth J Meier, Salomon Muller, Bin Wang

    Biorxiv : the Preprint Server for Biology
    |July 10, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Instructive inputs during development organize neural circuits for learning. This mechanism helps assign credit by ensuring instructions reach the correct neurons, improving learning robustness.

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    Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording

    Published on: August 11, 2019

    Area of Science:

    • Neuroscience
    • Developmental Biology
    • Computational Neuroscience

    Background:

    • Synaptic plasticity is crucial for learning but faces the credit assignment problem.
    • Neurons need to receive instructions relevant to their specific behavioral function.

    Purpose of the Study:

    • Investigate a developmental mechanism for credit assignment in neural circuits.
    • Understand how instructive inputs organize downstream architecture for learning expression.

    Main Methods:

    • Studied the olivocerebellar learning system in zebrafish during a critical developmental period.
    • Combined experimental observations with mathematical theory and computational modeling.

    Main Results:

    • Instructive inputs from the inferior olive regulate long-range cerebellar projections.
    • Developmental experience shapes projections to targets coactivated with olivary inputs.
    • The resulting architecture constrains later learning, enabling credit assignment.

    Conclusions:

    • Instructive inputs first build the circuits they subsequently teach.
    • This coordination of development and learning enables effective credit assignment.
    • Protecting developmental architecture enhances learning robustness.