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Control Volume and System Representations01:16

Control Volume and System Representations

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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

New methods for understanding systems consolidation.

Kaycie K Tayler1, Brian J Wiltgen

  • 1Department of Psychology, University of Virginia, Charlottesville, Virginia 22904, USA.

Learning & Memory (Cold Spring Harbor, N.Y.)
|September 18, 2013
PubMed
Summary
This summary is machine-generated.

The standard model of systems consolidation suggests memories eventually become independent of the hippocampus. New neuroscience tools now allow experimental testing of this memory consolidation theory.

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Imaging Cleared Intact Biological Systems at a Cellular Level by 3DISCO
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Published on: July 7, 2014

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Last Updated: May 7, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Published on: October 19, 2021

Imaging Cleared Intact Biological Systems at a Cellular Level by 3DISCO
07:49

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Published on: July 7, 2014

Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Cognitive Neuroscience

Background:

  • The standard model of systems consolidation (SMC) posits that declarative memories initially depend on the hippocampus.
  • Over time, memories are thought to transfer to neocortical circuits, becoming hippocampus-independent.
  • Experimental validation of these assumptions has been challenging.

Purpose of the Study:

  • To review recent methodological advances enabling the experimental testing of SMC.
  • To discuss how new tools can investigate neural circuit reactivation during memory retrieval.
  • To determine the necessity of hippocampal input for neocortical reactivation in recent and remote memory recall.

Main Methods:

  • Utilizing transgenic mice for whole-brain monitoring of individual neuronal activity.
  • Employing optogenetic techniques for precise light-controlled manipulation of neuronal activity.
  • Examining neural reactivation patterns during memory retrieval tasks.

Main Results:

  • Recent methodological advances provide unprecedented tools to test SMC.
  • Transgenic mice and optogenetics allow direct observation and manipulation of neural circuits.
  • These methods facilitate the examination of hippocampal dependence in memory recall.

Conclusions:

  • The reviewed techniques offer the first direct experimental means to test core SMC hypotheses.
  • Investigating neocortical reactivation during memory retrieval can elucidate the role of the hippocampus.
  • Future research can now rigorously assess the temporal dynamics of memory consolidation.