scholarly journals Neural Circuits Underlying Behavioral Flexibility: Insights From Drosophila

2022 ◽  
Vol 15 ◽  
Author(s):  
Anita V. Devineni ◽  
Kristin M. Scaplen
Keyword(s):  
Drosophila Melanogaster ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Internal State ◽  
Behavioral Responses ◽  
Behavioral Flexibility ◽  
Environmental Context ◽  
Behavioral State ◽  
Insight Into

Behavioral flexibility is critical to survival. Animals must adapt their behavioral responses based on changes in the environmental context, internal state, or experience. Studies in Drosophila melanogaster have provided insight into the neural circuit mechanisms underlying behavioral flexibility. Here we discuss how Drosophila behavior is modulated by internal and behavioral state, environmental context, and learning. We describe general principles of neural circuit organization and modulation that underlie behavioral flexibility, principles that are likely to extend to other species.

scholarly journals Targeted manipulation of neuronal activity in behaving adult flies

2016 ◽  
Author(s):  
Stefanie Hampel ◽  
Andrew Michael Seeds
Keyword(s):  
Drosophila Melanogaster ◽  
Neuronal Activity ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Fruit Fly ◽  
Specific Behavior ◽  
Freely Behaving ◽  
The Rich ◽  
Circuit Function

The ability to control the activity of specific neurons in freely behaving animals provides an effective way to probe the contributions of neural circuits to behavior. Wide interest in studying principles of neural circuit function using the fruit fly Drosophila melanogaster has fueled the construction of an extensive transgenic toolkit for performing such neural manipulations. Here we describe approaches for using these tools to manipulate the activity of specific neurons and assess how those manipulations impact the behavior of flies. We also describe methods for examining connectivity among multiple neurons that together form a neural circuit controlling a specific behavior. This work provides a resource for researchers interested in examining how neurons and neural circuits contribute to the rich repertoire of behaviors performed by flies.

scholarly journals Targeted manipulation of neuronal activity in behaving adult flies

2016 ◽  
Author(s):  
Stefanie Hampel ◽  
Andrew Michael Seeds
Keyword(s):  
Drosophila Melanogaster ◽  
Neuronal Activity ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Fruit Fly ◽  
Specific Behavior ◽  
Freely Behaving ◽  
The Rich ◽  
Circuit Function

The ability to control the activity of specific neurons in freely behaving animals provides an effective way to probe the contributions of neural circuits to behavior. Wide interest in studying principles of neural circuit function using the fruit fly Drosophila melanogaster has fueled the construction of an extensive transgenic toolkit for performing such neural manipulations. Here we describe approaches for using these tools to manipulate the activity of specific neurons and assess how those manipulations impact the behavior of flies. We also describe methods for examining connectivity among multiple neurons that together form a neural circuit controlling a specific behavior. This work provides a resource for researchers interested in examining how neurons and neural circuits contribute to the rich repertoire of behaviors performed by flies.

scholarly journals Contemporary approaches to neural circuit manipulation and mapping: focus on reward and addiction

2015 ◽  
Vol 370 (1677) ◽  
pp. 20140210 ◽  
Author(s):  
Benjamin T. Saunders ◽  
Jocelyn M. Richard ◽  
Patricia H. Janak
Keyword(s):  
Neural Circuits ◽  
Neural Circuit ◽  
Neural Systems ◽  
Adaptive Behaviour ◽  
Psychological Processes ◽  
Major Goal ◽  
Recent Advances ◽  
Great Insight ◽  
Midbrain Dopamine ◽  
Insight Into

Tying complex psychological processes to precisely defined neural circuits is a major goal of systems and behavioural neuroscience. This is critical for understanding adaptive behaviour, and also how neural systems are altered in states of psychopathology, such as addiction. Efforts to relate psychological processes relevant to addiction to activity within defined neural circuits have been complicated by neural heterogeneity. Recent advances in technology allow for manipulation and mapping of genetically and anatomically defined neurons, which when used in concert with sophisticated behavioural models, have the potential to provide great insight into neural circuit bases of behaviour. Here we discuss contemporary approaches for understanding reward and addiction, with a focus on midbrain dopamine and cortico-striato-pallidal circuits.

scholarly journals Astrocytic Regulation of Neural Circuits Underlying Behaviors

Cells ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 296
Author(s):  
Sun-Nyoung Hwang ◽  
Jae Seung Lee ◽  
Kain Seo ◽  
Hyosang Lee
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Information Processing ◽  
Crucial Role ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Behavioral Responses ◽  
Brain Regions ◽  
The Central Nervous System ◽  
Intracellular Changes

Astrocytes, characterized by a satellite-like morphology, are the most abundant type of glia in the central nervous system. Their main functions have been thought to be limited to providing homeostatic support for neurons, but recent studies have revealed that astrocytes actually actively interact with local neural circuits and play a crucial role in information processing and generating physiological and behavioral responses. Here, we review the emerging roles of astrocytes in many brain regions, particularly by focusing on intracellular changes in astrocytes and their interactions with neurons at the molecular and neural circuit levels.

scholarly journals Targeted manipulation of neuronal activity in behaving adult flies

2016 ◽  
Author(s):  
Stefanie Hampel ◽  
Andrew Michael Seeds
Keyword(s):  
Drosophila Melanogaster ◽  
Neuronal Activity ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Fruit Fly ◽  
Specific Behavior ◽  
Freely Behaving ◽  
The Rich ◽  
Circuit Function

The ability to control the activity of specific neurons in freely behaving animals provides an effective way to probe the contributions of neural circuits to behavior. Wide interest in studying principles of neural circuit function using the fruit fly Drosophila melanogaster has fueled the construction of an extensive transgenic toolkit for performing such neural manipulations. Here we describe approaches for using these tools to manipulate the activity of specific neurons and assess how those manipulations impact the behavior of flies. We also describe methods for examining connectivity among multiple neurons that together form a neural circuit controlling a specific behavior. This work provides a resource for researchers interested in examining how neurons and neural circuits contribute to the rich repertoire of behaviors performed by flies.

scholarly journals A neural circuit linking two sugar sensors regulates satiety-dependent fructose drive in Drosophila

2021 ◽  
Author(s):  
Pierre-Yves Musso ◽  
Pierre Junca ◽  
Michael D Gordon
Keyword(s):  
Feeding Behavior ◽  
Synaptic Input ◽  
Neural Circuit ◽  
Internal State ◽  
Calcium Activity ◽  
Shaped Body ◽  
Body Activity ◽  
The Brain

ABSTRACTIngestion of certain sugars leads to activation of fructose sensors within the brain of flies, which then sustain or terminate feeding behavior depending on internal state. Here, we describe a three-part neural circuit that links satiety with fructose sensing. We show that AB-FBl8 neurons of the Fan-shaped body display oscillatory calcium activity when hemolymph glycemia is high, and that these oscillations require synaptic input from SLP-AB neurons projecting from the protocerebrum to the asymmetric body. Suppression of activity in this circuit, either by starvation or genetic silencing, promotes specific drive for fructose ingestion. Moreover, neuropeptidergic signaling by tachykinin bridges fan-shaped body activity and Gr43a-mediated fructose sensing. Together, our results demonstrate how a three-layer neural circuit links the detection of two sugars to impart precise satiety-dependent control over feeding behavior.

scholarly journals Oscillatory integration windows in neurons

2016 ◽  
Author(s):  
Nitin Gupta ◽  
Swikriti Saran Singh ◽  
Mark Stopfer
Keyword(s):  
Neural Circuits ◽  
Neural Circuit ◽  
Field Potential ◽  
Coincidence Detection ◽  
Uniform Structure ◽  
Detection Mechanism ◽  
Oscillation Frequencies ◽  
Local Field Potential Lfp ◽  
Oscillatory Cycle

AbstractOscillatory synchrony among neurons occurs in many species and brain areas, and has been proposed to help neural circuits process information. One hypothesis states that oscillatory input creates cyclic integration windows: specific times in each oscillatory cycle when postsynaptic neurons become especially responsive to inputs. With paired local field potential (LFP) and intracellular recordings and controlled stimulus manipulations we directly tested this idea in the locust olfactory system. We found that inputs arriving in Kenyon cells (KCs) sum most effectively in a preferred window of the oscillation cycle. With a computational model, we found that the non-uniform structure of noise in the membrane potential helps mediate this process. Further experiments performed in vivo demonstrated that integration windows can form in the absence of inhibition and at a broad range of oscillation frequencies. Our results reveal how a fundamental coincidence-detection mechanism in a neural circuit functions to decode temporally organized spiking.

scholarly journals Prominent Inhibitory Projections Guide Sensorimotor Computation: An Invertebrate Perspective

2019 ◽  
Author(s):  
Samantha Hughes ◽  
Tansu Celikel
Keyword(s):  
Motor Neurons ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Sensory Information ◽  
Circuit Complexity ◽  
Inhibitory Circuits ◽  
Invertebrate Species ◽  
Gating Mechanism ◽  
Motor Actions ◽  
Sensorimotor Representations

From single-cell organisms to complex neural networks, all evolved to provide control solutions to generate context and goal-specific actions. Neural circuits performing sensorimotor computation to drive navigation employ inhibitory control as a gating mechanism, as they hierarchically transform (multi)sensory information into motor actions. Here, we focus on this literature to critically discuss the proposition that prominent inhibitory projections form sensorimotor circuits. After reviewing the neural circuits of navigation across various invertebrate species, we argue that with increased neural circuit complexity and the emergence of parallel computations inhibitory circuits acquire new functions. The contribution of inhibitory neurotransmission for navigation goes beyond shaping the communication that drives motor neurons, instead, include encoding of emergent sensorimotor representations. A mechanistic understanding of the neural circuits performing sensorimotor computations in invertebrates will unravel the minimum circuit requirements driving adaptive navigation.

scholarly journals Neural Changes Underlying Rapid Fly Song Evolution

2017 ◽  
Author(s):  
Yun Ding ◽  
Joshua L. Lillvis ◽  
Jessica Cande ◽  
Gordon J. Berman ◽  
Benjamin J. Arthur ◽  
...  
Keyword(s):  
Nervous System ◽  
Drosophila Melanogaster ◽  
Experimental Approach ◽  
Neural Circuits ◽  
Neural Circuitry ◽  
Courtship Song ◽  
Neural Basis ◽  
Electrophysiological Properties ◽  
Song Types ◽  
Behavioural Diversity

AbstractThe neural basis for behavioural evolution is poorly understood. Functional comparisons of homologous neurons may reveal how neural circuitry contributes to behavioural evolution, but homologous neurons cannot be identified and manipulated in most taxa. Here, we compare the function of homologous courtship song neurons by exporting neurogenetic reagents that label identified neurons in Drosophila melanogaster to D. yakuba. We found a conserved role for a cluster of brain neurons that establish a persistent courtship state. In contrast, a descending neuron with conserved electrophysiological properties drives different song types in each species. Our results suggest that song evolved, in part, due to changes in the neural circuitry downstream of this descending neuron. This experimental approach can be generalized to other neural circuits and therefore provides an experimental framework for studying how the nervous system has evolved to generate behavioural diversity.

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