Literature DB >> 35173333

Differential mechanisms underlie trace and delay conditioning in Drosophila.

Dhruv Grover1, Jen-Yung Chen1, Jiayun Xie1, Jinfang Li1, Jean-Pierre Changeux1,2,3, Ralph J Greenspan4,5.   

Abstract

Two forms of associative learning-delay conditioning and trace conditioning-have been widely investigated in humans and higher-order mammals1. In delay conditioning, an unconditioned stimulus (for example, an electric shock) is introduced in the final moments of a conditioned stimulus (for example, a tone), with both ending at the same time. In trace conditioning, a 'trace' interval separates the conditioned stimulus and the unconditioned stimulus. Trace conditioning therefore relies on maintaining a neural representation of the conditioned stimulus after its termination (hence making distraction possible2), to learn the conditioned stimulus-unconditioned stimulus contingency3; this makes it more cognitively demanding than delay conditioning4. Here, by combining virtual-reality behaviour with neurogenetic manipulations and in vivo two-photon brain imaging, we show that visual trace conditioning and delay conditioning in Drosophila mobilize R2 and R4m ring neurons in the ellipsoid body. In trace conditioning, calcium transients during the trace interval show increased oscillations and slower declines over repeated training, and both of these effects are sensitive to distractions. Dopaminergic activity accompanies signal persistence in ring neurons, and this is decreased by distractions solely during trace conditioning. Finally, dopamine D1-like and D2-like receptor signalling in ring neurons have different roles in delay and trace conditioning; dopamine D1-like receptor 1 mediates both forms of conditioning, whereas the dopamine D2-like receptor is involved exclusively in sustaining ring neuron activity during the trace interval of trace conditioning. These observations are similar to those previously reported in mammals during arousal5, prefrontal activation6 and high-level cognitive learning7,8.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35173333     DOI: 10.1038/s41586-022-04433-6

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  56 in total

1.  The neurobiology of cognition.

Authors:  M J Nichols; W T Newsome
Journal:  Nature       Date:  1999-12-02       Impact factor: 49.962

2.  Trace but not delay fear conditioning requires attention and the anterior cingulate cortex.

Authors:  C J Han; Colm M O'Tuathaigh; Laurent van Trigt; Jennifer J Quinn; Michael S Fanselow; Raymond Mongeau; Christof Koch; David J Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-10       Impact factor: 11.205

Review 3.  Prefrontal executive function and adaptive behavior in complex environments.

Authors:  Etienne Koechlin
Journal:  Curr Opin Neurobiol       Date:  2015-12-11       Impact factor: 6.627

Review 4.  Mechanisms and functions of theta rhythms.

Authors:  Laura Lee Colgin
Journal:  Annu Rev Neurosci       Date:  2013-05-29       Impact factor: 12.449

5.  Classical conditioning and brain systems: the role of awareness.

Authors:  R E Clark; L R Squire
Journal:  Science       Date:  1998-04-03       Impact factor: 47.728

Review 6.  Cognitive neuroscience and the study of memory.

Authors:  B Milner; L R Squire; E R Kandel
Journal:  Neuron       Date:  1998-03       Impact factor: 17.173

7.  Generation of a synthetic memory trace.

Authors:  Aleena R Garner; David C Rowland; Sang Youl Hwang; Karsten Baumgaertel; Bryan L Roth; Cliff Kentros; Mark Mayford
Journal:  Science       Date:  2012-03-23       Impact factor: 47.728

8.  Lesions of the caudal area of rabbit medial prefrontal cortex impair trace eyeblink conditioning.

Authors:  M A Kronforst-Collins; J F Disterhoft
Journal:  Neurobiol Learn Mem       Date:  1998-03       Impact factor: 2.877

9.  Neural substrates mediating human delay and trace fear conditioning.

Authors:  David C Knight; Dominic T Cheng; Christine N Smith; Elliot A Stein; Fred J Helmstetter
Journal:  J Neurosci       Date:  2004-01-07       Impact factor: 6.167

Review 10.  Bridging the interval: theory and neurobiology of trace conditioning.

Authors:  Jonathan D Raybuck; K Matthew Lattal
Journal:  Behav Processes       Date:  2013-09-12       Impact factor: 1.777

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  1 in total

1.  Multilevel development of cognitive abilities in an artificial neural network.

Authors:  Konstantin Volzhenin; Jean-Pierre Changeux; Guillaume Dumas
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-19       Impact factor: 12.779

  1 in total

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