Does Cognition Have a Role in Plasticity of “Innate Behavior”? A Perspective From Drosophila

Gorostiza, Ezequiel Axel

doi:10.3389/fpsyg.2018.01502

Cited by 16 publications

(17 citation statements)

References 58 publications

(72 reference statements)

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“…The stability of these biases over time suggests a rigidity to individual behavioral biases. But here we found that individual flies have different biases in the light and dark ( Fig 1C), consistent with the idea that innate behaviors can still be "cognitively" flexible (Gorostiza, 2018). LDM is not specific to walking, as we found flies in tethered flight also displayed LDM ( Fig 1L).…”

Section: Discussionsupporting

confidence: 88%

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A neural circuit basis for context-modulation of individual locomotor behavior

Skutt-Kakaria

Reimers

Currier

et al. 2019

Preprint

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Defying the cliche that biological variation arises from differences in nature or nurture, genetically identical animals reared in the same environment exhibit striking differences in their behaviors. Innate behaviors can be surprisingly flexible, for example by exhibiting context-dependence. The intersection of behavioral individuality and contextdependence is largely unexplored, particularly at the neural circuit level. Here, we show that individual flies' tendencies to turn left or right (locomotor handedness) changes when ambient illumination changes. This change is itself a stable individual behavioral characteristic. Silencing output neurons of the central complex (a premotor area that mediates goal-directed navigation) blocks this change. These neurons respond to light with idiosyncratic changes to their baseline calcium levels, and idiosyncratic morphological variation in their presynaptic arbors correlates with idiosyncratic sensory-context-specific turn biases. These findings provide a circuit mechanism by which individual locomotor biases arise and are modulated by sensory context.

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Section: Discussionsupporting

confidence: 88%

“…How flies respond to a stimulus or behave spontaneously can depend on the sensory context, and when this flexibility is adaptive, it may represent a simple form of cognition (Gorostiza, 2018). As examples: flies prioritize or de-prioritize grooming their wings, depending on whether their eyes are dirty (Seeds et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

A neural circuit basis for context-modulation of individual locomotor behavior

Skutt-Kakaria

Reimers

Currier

et al. 2019

Preprint

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“…In the optomotor experiment, we demonstrated that, using closed-loop stimuli delivered from a projector, MARGO can quantify individual optomotor responses of dozens of flies simultaneously. Consistent with previous findings [33, 34], we saw that stationary flies did not exhibit strong optomotor responses, consistent with the idea that this reflexive behavior may be state-dependent [50–54]. While all animals tested exhibited the optomotor response to some degree, we observed a broad distribution of individual optomotor indices, suggesting that individuals respond idiosyncratically to the same stimulus, as has been found previously in other spontaneous and stimulus-evoked behaviors [17, 28, 47, 49, 55].…”

Section: Discussionsupporting

confidence: 92%

MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology

et al. 2019

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Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for many animals in parallel. We developed MARGO, a MATLAB-based, real-time animal tracking suite for custom behavioral experiments. We demonstrated that MARGO can rapidly and accurately track large numbers of animals in parallel over very long timescales, typically when spatially separated such as in multiwell plates. We incorporated control of peripheral hardware, and implemented a flexible software architecture for defining new experimental routines. These features enable closed-loop delivery of stimuli to many individuals simultaneously. We highlight MARGO’s ability to coordinate tracking and hardware control with two custom behavioral assays (measuring phototaxis and optomotor response) and one optogenetic operant conditioning assay. There are currently several open source animal trackers. MARGO’s strengths are 1) fast and accurate tracking, 2) high throughput, 3) an accessible interface and data output and 4) real-time closed-loop hardware control for for sensory and optogenetic stimuli, all of which are optimized for large-scale experiments.

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“…In the optomotor experiment, we demonstrated that, using closed-loop stimuli delivered from a projector, MARGO can quantify individual optomotor responses of dozens of flies simultaneously. Consistent with previous findings 33; 34 , we saw that stationary flies did not exhibit strong optomotor responses, consistent with the idea that this reflexive behavior may be state-dependent [50][51][52][53][54] . While all animals tested exhibited the optomotor response to some degree, we observed a broad distribution of individual optomotor indices, suggesting that individuals respond idiosyncratically to the same stimulus, as has been found previously in other spontaneous and stimulus-evoked behaviors 17;28;47;49;55 .…”

Section: Discussionsupporting

confidence: 92%

MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology

Werkhoven

Rohrsen

Qin

et al. 2019

Preprint

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Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for multiple animals in parallel. We developed MARGO, a real-time animal tracking suite for custom behavioral experiments. We demonstrated that MARGO can rapidly and accurately track large numbers of animals in parallel over very long timescales. We incorporated control of peripheral hardware, and implemented a flexible software architecture for defining new experimental routines. These features enable closed-loop delivery of stimuli to many individuals simultaneously. We highlight MARGO's ability to coordinate tracking and hardware control with two custom behavioral assays (measuring phototaxis and optomotor response) and one optogenetic operant conditioning assay. There are currently several open source animal trackers. MARGO's strengths are 1) robustness, 2) high throughput, 3) flexible control of hardware and 4) real-time closed-loop control of sensory and optogenetic stimuli, all of which are optimized for large-scale experimentation.

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Does Cognition Have a Role in Plasticity of “Innate Behavior”? A Perspective From Drosophila

Cited by 16 publications

References 58 publications

A neural circuit basis for context-modulation of individual locomotor behavior

A neural circuit basis for context-modulation of individual locomotor behavior

MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology

MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology

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