Literature DB >> 16146688

Integrative neuroscience: linking levels of analyses.

Sten Grillner1, Alexander Kozlov, Jeanette Hellgren Kotaleski.   

Abstract

If we are to understand how the brain performs different integrated functions in cellular terms, we need both to understand all relevant levels of analysis from the molecular to the behavioural and cognitive levels and to realize an integration of such levels. This is currently a major challenge for neuroscience. Most research, whether dealing with perception, action or learning, focuses on a few levels of organization, for instance the molecular level and brain imaging, and leaves other crucial areas practically untouched. To reach the level of understanding that we desire, a multi-level approach is required in which the different levels link into each other. It is possible to bridge across the different levels for one system, and this has been demonstrated, for example, in the lamprey in generation of goal-directed locomotion. It can be argued that an integrated analysis of any neural system cannot be performed without the aid of a close interaction between experiments and modelling. The dynamic processing within any neural system is such that an intuitive interpretation is rarely sufficient.

Mesh:

Year:  2005        PMID: 16146688     DOI: 10.1016/j.conb.2005.08.017

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  8 in total

Review 1.  Neuronal network analyses: premises, promises and uncertainties.

Authors:  David Parker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

2.  Novel plasticity rule can explain the development of sensorimotor intelligence.

Authors:  Ralf Der; Georg Martius
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-26       Impact factor: 11.205

3.  Exciting times in the tadpole spinal cord.

Authors:  David Parker
Journal:  J Physiol       Date:  2009-04-15       Impact factor: 5.182

Review 4.  The metastable brain.

Authors:  Emmanuelle Tognoli; J A Scott Kelso
Journal:  Neuron       Date:  2014-01-08       Impact factor: 17.173

5.  Coordination of rhythmic motor activity by gradients of synaptic strength in a neural circuit that couples modular neural oscillators.

Authors:  Carmen Smarandache; Wendy M Hall; Brian Mulloney
Journal:  J Neurosci       Date:  2009-07-22       Impact factor: 6.167

6.  Understanding the Brain through Neuroinformatics.

Authors:  Jan G Bjaalie
Journal:  Front Neurosci       Date:  2008-08-01       Impact factor: 4.677

7.  Dynamic systems approaches and levels of analysis in the nervous system.

Authors:  David Parker; Vipin Srivastava
Journal:  Front Physiol       Date:  2013-02-05       Impact factor: 4.566

8.  A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics.

Authors:  Sulema Torres-Ramos; Ricardo A Salido-Ruiz; Aurora Espinoza-Valdez; Fabiola R Gómez-Velázquez; Andrés A González-Garrido; Israel Román-Godínez
Journal:  PLoS One       Date:  2020-01-17       Impact factor: 3.240

  8 in total

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