Literature DB >> 29397990

The Circuit Motif as a Conceptual Tool for Multilevel Neuroscience.

Oliver Braganza1, Heinz Beck2.   

Abstract

Modern neuroscientific techniques that specifically manipulate and measure neuronal activity in behaving animals now allow bridging of the gap from the cellular to the behavioral level. However, in doing so, they also pose new challenges. Research using incompletely defined manipulations in a high-dimensional space without clear hypotheses is likely to suffer from multiple well-known conceptual and statistical problems. In this context it is essential to develop hypotheses with testable implications across levels. Here we propose that a focus on circuit motifs can help achieve this goal. Viewing neural structures as an assembly of circuit motif building blocks is not new. However, recent tool advances have made it possible to extensively map, specifically manipulate, and quantitatively investigate circuit motifs and thereby reexamine their relevance to brain function.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  behavior; circuit motif; high-dimensional research; inhibition; multilevel neuroscience; optogenetics

Mesh:

Year:  2018        PMID: 29397990     DOI: 10.1016/j.tins.2018.01.002

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  7 in total

1.  Quantitative properties of a feedback circuit predict frequency-dependent pattern separation.

Authors:  Oliver Braganza; Daniel Mueller-Komorowska; Tony Kelly; Heinz Beck
Journal:  Elife       Date:  2020-02-20       Impact factor: 8.140

2.  Sexual selection and 'species recognition' revisited: serial processing and order-of-operations in mate choice.

Authors:  David A Gray
Journal:  Proc Biol Sci       Date:  2022-03-23       Impact factor: 5.349

3.  Sequential addition of neuronal stem cell temporal cohorts generates a feed-forward circuit in the Drosophila larval nerve cord.

Authors:  Yi-Wen Wang; Chris C Wreden; Maayan Levy; Julia L Meng; Zarion D Marshall; Jason MacLean; Ellie Heckscher
Journal:  Elife       Date:  2022-06-20       Impact factor: 8.713

4.  Preserving inhibition with a disinhibitory microcircuit in the retina.

Authors:  Qiang Chen; Robert G Smith; Xiaolin Huang; Wei Wei
Journal:  Elife       Date:  2020-12-03       Impact factor: 8.140

5.  Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons.

Authors:  Marije Ter Wal; Paul H E Tiesinga
Journal:  Biol Cybern       Date:  2021-10-09       Impact factor: 2.086

6.  Modulation of Dopamine for Adaptive Learning: A Neurocomputational Model.

Authors:  Jeffrey B Inglis; Vivian V Valentin; F Gregory Ashby
Journal:  Comput Brain Behav       Date:  2020-06-12

7.  Apical length governs computational diversity of layer 5 pyramidal neurons.

Authors:  Alessandro R Galloni; Aeron Laffere; Ede Rancz
Journal:  Elife       Date:  2020-05-28       Impact factor: 8.140

  7 in total

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