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Related Concept Videos

Long-term Depression01:03

Long-term Depression

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.
Calcium Ion Concentration Mechanism
If over time, all...
Long-term Depression01:05

Long-term Depression

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.
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.

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Related Experiment Video

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Deep Brain Stimulation with Simultaneous fMRI in Rodents
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Published on: February 15, 2014

Delay effects in brain dynamics. Introduction.

Gabor Stepan1

  • 1Department of Applied Mechanics, Budapest University of Technology and Economics, Budapest 1521, Hungary. stepan@mm.bme.hu

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|February 17, 2009
PubMed
Summary
This summary is machine-generated.

Time delays significantly destabilize nonlinear dynamical systems, particularly impacting neural systems. This review organizes research by the complexity of neural networks studied, from simple pairs to large populations.

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Area of Science:

  • Neuroscience
  • Dynamical Systems Theory
  • Computational Biology

Background:

  • Reviews methods and results on time delays in nonlinear dynamical systems.
  • Highlights philosophical similarities in interdisciplinary neural systems research.
  • Focuses on the critical role of time delays in neural system dynamics.

Discussion:

  • Summarizes general destabilizing effects of time delays.
  • Examines research contributions ordered by the scale of neural components involved.
  • Connects findings across studies ranging from small neuronal groups to large-scale neural fields and populations.

Key Insights:

  • Time delays are a fundamental factor influencing the behavior of neural systems.
  • The impact of time delays can be analyzed across various levels of neural organization.
  • Interdisciplinary approaches reveal common themes in understanding neural dynamics.

Outlook:

  • Future research directions in understanding time-delayed neural systems.
  • Potential applications of insights into neural system stability.
  • The importance of continued interdisciplinary collaboration in neuroscience.