Literature DB >> 21705212

Studying sensorimotor integration in insects.

Stephen J Huston1, Vivek Jayaraman.   

Abstract

Sensorimotor integration is a field rich in theory backed by a large body of psychophysical evidence. Relating the underlying neural circuitry to these theories has, however, been more challenging. With a wide array of complex behaviors coordinated by their small brains, insects provide powerful model systems to study key features of sensorimotor integration at a mechanistic level. Insect neural circuits perform both hard-wired and learned sensorimotor transformations. They modulate their neural processing based on both internal variables, such as the animal's behavioral state, and external ones, such as the time of day. Here we present some studies using insect model systems that have produced insights, at the level of individual neurons, about sensorimotor integration and the various ways in which it can be modified by context.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21705212     DOI: 10.1016/j.conb.2011.05.030

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


  18 in total

1.  Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain.

Authors:  Lev E Givon; Aurel A Lazar
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

2.  Impact of precisely-timed inhibition of gustatory cortex on taste behavior depends on single-trial ensemble dynamics.

Authors:  Narendra Mukherjee; Joseph Wachutka; Donald B Katz
Journal:  Elife       Date:  2019-06-24       Impact factor: 8.140

3.  Internal models direct dragonfly interception steering.

Authors:  Matteo Mischiati; Huai-Ti Lin; Paul Herold; Elliot Imler; Robert Olberg; Anthony Leonardo
Journal:  Nature       Date:  2014-12-10       Impact factor: 49.962

4.  Extracellular wire tetrode recording in brain of freely walking insects.

Authors:  Peiyuan Guo; Alan J Pollack; Adrienn G Varga; Joshua P Martin; Roy E Ritzmann
Journal:  J Vis Exp       Date:  2014-04-01       Impact factor: 1.355

5.  State-dependent sensorimotor gating in a rhythmic motor system.

Authors:  Rachel S White; Robert M Spencer; Michael P Nusbaum; Dawn M Blitz
Journal:  J Neurophysiol       Date:  2017-08-16       Impact factor: 2.714

6.  A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection.

Authors:  Brad K Hulse; Hannah Haberkern; Romain Franconville; Daniel Turner-Evans; Shin-Ya Takemura; Tanya Wolff; Marcella Noorman; Marisa Dreher; Chuntao Dan; Ruchi Parekh; Ann M Hermundstad; Gerald M Rubin; Vivek Jayaraman
Journal:  Elife       Date:  2021-10-26       Impact factor: 8.713

Review 7.  Mini-brain computations converting dynamic olfactory inputs into orientation behavior.

Authors:  Matthieu Louis
Journal:  Curr Opin Neurobiol       Date:  2019-12-25       Impact factor: 6.627

Review 8.  Future Tail Tales: A Forward-Looking, Integrative Perspective on Tail Research.

Authors:  M J Schwaner; S T Hsieh; I Braasch; S Bradley; C B Campos; C E Collins; C M Donatelli; F E Fish; O E Fitch; B E Flammang; B E Jackson; A Jusufi; P J Mekdara; A Patel; B J Swalla; M Vickaryous; C P McGowan
Journal:  Integr Comp Biol       Date:  2021-09-08       Impact factor: 3.326

9.  Deciding which way to go: how do insects alter movements to negotiate barriers?

Authors:  Roy E Ritzmann; Cynthia M Harley; Kathryn A Daltorio; Brian R Tietz; Alan J Pollack; John A Bender; Peiyuan Guo; Audra L Horomanski; Nicholas D Kathman; Claudia Nieuwoudt; Amy E Brown; Roger D Quinn
Journal:  Front Neurosci       Date:  2012-07-06       Impact factor: 4.677

10.  Automated tracking of animal posture and movement during exploration and sensory orientation behaviors.

Authors:  Alex Gomez-Marin; Nicolas Partoune; Greg J Stephens; Matthieu Louis
Journal:  PLoS One       Date:  2012-08-09       Impact factor: 3.240

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