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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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Progressive Circuit Changes during Learning and Disease.

Alison L Barth1, Ajit Ray1

  • 1Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Neuron
|October 11, 2019
PubMed
Summary
This summary is machine-generated.

Identifying cellular computations in the brain is key to understanding cognition, learning, and brain dysfunction. New genetic tools reveal how neural circuits change with experience or disease, offering insights into brain function.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Molecular Biology

Background:

  • Understanding cognition, learning, and brain dysfunction requires identifying cellular computations in discrete brain areas.
  • These computations are altered by experience and disease, necessitating detailed analysis of neuronal properties and network connectivity.

Purpose of the Study:

  • To reveal the cellular computations underlying cognition and learning.
  • To understand how experience and neurological disorders alter neural circuit properties and network function.

Main Methods:

  • Targeted analyses of neurons based on firing properties, molecular identity, and network wiring.
  • Utilizing sophisticated genetic tools for cell-type-specific identification and control of neural circuits.

Main Results:

  • New studies are identifying specific neurons and their roles in computations.
  • Genetic tools are demonstrating how learning and disorders modify neural circuit properties.

Conclusions:

  • Understanding the temporal sequence of synaptic changes in neural networks is crucial.
  • This knowledge will elucidate the contribution of small-scale neural circuits to cognitive functions during learning and disease.