2A1-B10 A Study on a cricket's neuronal modeling for behavior selection : Consideration to between internal state and behavior selection

2009 ◽  
Vol 2009 (0) ◽  
pp. _2A1-B10_1-_2A1-B10_2
Author(s):  
Takashi FUJII ◽  
Kuniaki KAWABATA ◽  
Hitoshi AONUMA ◽  
Tsuyoshi SUZUKI ◽  
Masatoshi ASHIKAGA ◽  
...  
Keyword(s):  
Internal State ◽  
Neuronal Modeling ◽  
And Behavior ◽  
Behavior Selection

scholarly journals Visual Cue-Discriminative Dopaminergic Control of Visuomotor Transformation and Behavior Selection

Neuron ◽  
2016 ◽  
Vol 89 (3) ◽  
pp. 598-612 ◽  
Author(s):  
Yuanyuan Yao ◽  
Xiaoquan Li ◽  
Baibing Zhang ◽  
Chen Yin ◽  
Yafeng Liu ◽  
...  
Keyword(s):  
Visuomotor Transformation ◽  
Visual Cue ◽  
And Behavior ◽  
Dopaminergic Control ◽  
Behavior Selection

scholarly journals A distributed dopamine-gated circuit underpins reproductive state-dependent behavior in Drosophila females

2021 ◽  
Author(s):  
Ariane C Boehm ◽  
Anja B Friedrich ◽  
Paul Bandow ◽  
K.P. Siju ◽  
Sydney Hunt ◽  
...  
Keyword(s):  
Internal State ◽  
Brain Regions ◽  
Neural Pathways ◽  
Reproductive State ◽  
Behavioral Screening ◽  
Whole Brain ◽  
State Dependent ◽  
Dependent Behavior ◽  
Output Neurons ◽  
And Behavior

Motherhood induces a drastic, sometimes long-lasting, change in internal state and behavior in most female animals. Here, we show that a mating-induced increase in olfactory attraction of female Drosophila flies to nutrients relies on interconnected neural pathways in the two higher olfactory brain regions, the lateral horn (LH) and the mushroom body (MB). Using whole brain calcium imaging, we find that mating does not induce a global change in the activity of the whole brain nor of entire brain regions, suggesting specific neuronal or network changes in the olfactory system. Systematic behavioral screening and electron microscopy (EM) connectomics identify two types of LH output neurons required for the attraction of females to polyamines -one of them previously implicated in the processing of male pheromones. In addition, we characterize multiple MB pathways capable of inducing or suppressing polyamine attraction, with synaptic connections to the identified LH neurons and a prominent role for the β′1 compartment. Moreover, β′1 dopaminergic neurons are modulated by mating and are sufficient to replace mating experience in virgins inducing the lasting behavioral switch in female preference. Taken together, our data in the fly suggests that reproductive state-dependent expression of female choice behavior is regulated by a dopamine-gated distributed learning circuit comprising both higher olfactory brain centers.

scholarly journals Models of heterogeneous dopamine signaling in an insect learning and memory center

2019 ◽  
Author(s):  
Linnie Jiang ◽  
Ashok Litwin-Kumar
Keyword(s):  
Mushroom Body ◽  
Internal State ◽  
Dopamine Neurons ◽  
Insect Learning ◽  
External Reinforcement ◽  
Learned Behaviors ◽  
Architectural Constraints ◽  
Dopamine Signaling ◽  
And Behavior ◽  
Task Parameters

AbstractThe Drosophila mushroom body exhibits dopamine dependent synaptic plasticity that underlies the acquisition of associative memories. Recordings of dopamine neurons in this system have identified signals related to external reinforcement such as reward and punishment. However, other factors including locomotion, novelty, reward expectation, and internal state have also recently been shown to modulate dopamine neurons. This heterogeneity is at odds with typical modeling approaches in which these neurons are assumed to encode a global, scalar error signal. How is dopamine dependent plasticity coordinated in the presence of such heterogeneity? We develop a modeling approach that infers a pattern of dopamine activity sufficient to solve defined behavioral tasks, given architectural constraints informed by knowledge of mushroom body circuitry. Model dopamine neurons exhibit diverse tuning to task parameters while nonetheless producing coherent learned behaviors. Our results provide a mechanistic framework that accounts for the heterogeneity of dopamine activity during learning and behavior.

scholarly journals 2A1-A01 Study on cricket's neuronal modeling for behavior selection : Examination of application to sweeping task of behavior selection model

2010 ◽  
Vol 2010 (0) ◽  
pp. _2A1-A01_1-_2A1-A01_4
Author(s):  
Takashi FUJII ◽  
Kuniaki KAWABATA ◽  
Hitoshi AONUMA ◽  
Midori SAKURA ◽  
Tsuyoshi SUZUKI ◽  
...  
Keyword(s):  
Selection Model ◽  
Neuronal Modeling ◽  
Behavior Selection

scholarly journals Comparative single-cell transcriptomics of complete insect nervous systems

2019 ◽  
Author(s):  
Benjamin T. Cocanougher ◽  
Jason D. Wittenbach ◽  
Xi Salina Long ◽  
Andrea B. Kohn ◽  
Tigran P. Norekian ◽  
...  
Keyword(s):  
Nervous System ◽  
Single Molecule ◽  
Developmental Stages ◽  
Internal State ◽  
Single Cells ◽  
Specific Gene ◽  
Behavioral State ◽  
Wasp Sting ◽  
Cell State ◽  
And Behavior

SummaryMolecular profiles of neurons influence information processing, but bridging the gap between genes, circuits, and behavior has been very difficult. Furthermore, the behavioral state of an animal continuously changes across development and as a result of sensory experience. How behavioral state influences molecular cell state is poorly understood. Here we present a complete atlas of the Drosophila larval central nervous system composed of over 200,000 single cells across four developmental stages. We develop polyseq, a python package, to perform cell-type analyses. We use single-molecule RNA-FISH to validate our scRNAseq findings. To investigate how internal state affects cell state, we optogentically altered internal state with high-throughput behavior protocols designed to mimic wasp sting and over activation of the memory system. We found nervous system-wide and neuron-specific gene expression changes. This resource is valuable for developmental biology and neuroscience, and it advances our understanding of how genes, neurons, and circuits generate behavior.

scholarly journals Coordinated prefrontal state transition leads extinction of reward-seeking behaviors

2020 ◽  
Author(s):  
Eleonora Russo ◽  
Tianyang Ma ◽  
Rainer Spanagel ◽  
Daniel Durstewitz ◽  
Hazem Toutounji ◽  
...  
Keyword(s):  
Single Unit ◽  
Internal State ◽  
Conditioned Reward ◽  
Conditioned Stimuli ◽  
Extinction Learning ◽  
Experimental Conditions ◽  
Reward Seeking ◽  
And Behavior ◽  
Unit Coordination

ABSTRACTExtinction learning suppresses conditioned reward responses and is thus fundamental to adapt to changing environmental demands and to control excessive reward seeking. The medial prefrontal cortex (mPFC) monitors and controls conditioned reward responses. Using in vivo multiple single-unit recordings of mPFC we studied the relationship between single-unit and population dynamics during different phases of an operant conditioning task. To examine the fine temporal relation between neural activity and behavior, we developed a model-based statistical analysis that captured behavioral idiosyncrasies. We found that single-unit responses to conditioned stimuli changed throughout the course of a session even under stable experimental conditions and consistent behavior. However, when behavioral responses to task contingencies had to be updated during the extinction phase, unit-specific modulations became coordinated across the whole population, pushing the network into a new stable attractor state. These results show that extinction learning is not associated with suppressed mPFC responses to conditioned stimuli, but is driven by single-unit coordination into population-wide transitions of the animal’s internal state.

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