@article {70035, title = {Cell type-specific contributions to a persistent aggressive internal state in female Drosophila}, journal = {Elife}, volume = {12}, year = {2025}, month = {2025 Jul 25}, abstract = {

Persistent internal states are important for maintaining survival-promoting behaviors, such as aggression. In female\ Drosophila melanogaster, we have previously shown that individually activating either aIPg or pC1d cell types can induce aggression. Here we investigate further the individual roles of these cholinergic, sexually dimorphic cell types, and the reciprocal connections between them, in generating a persistent aggressive internal state. We find that a brief 30-second optogenetic stimulation of aIPg neurons was sufficient to promote an aggressive internal state lasting at least 10 minutes, whereas similar stimulation of pC1d neurons did not. While we previously showed that stimulation of pC1e alone does not evoke aggression, persistent behavior could be promoted through simultaneous stimulation of pC1d and pC1e, suggesting an unexpected synergy of these cell types in establishing a persistent aggressive state. Neither aIPg nor pC1d show persistent neuronal activity themselves, implying that the persistent internal state is maintained by other mechanisms. Moreover, inactivation of pC1d did not significantly reduce aIPg-evoked persistent aggression, arguing that the aggressive state did not depend on pC1d-aIPg recurrent connectivity. Our results suggest the need for alternative models to explain persistent female aggression.

Preprint:\ https://www.biorxiv.org/content/10.1101/2023.06.07.543722v2

}, keywords = {Aggression, Animals, Behavior, Animal, Drosophila melanogaster, Female, Neurons, Optogenetics}, issn = {2050-084X}, doi = {10.7554/eLife.88598}, url = {https://doi.org/10.7554/elife.88598}, author = {Chiu, Hui and Robie, Alice A and Branson, Kristin and Vippa, Tanvi and Epstein, Samantha and Rubin, Gerald M and Anderson, David J and Schretter, Catherine E} } @article {69137, title = {Anatomically distributed neural representations of instincts in the hypothalamus.}, journal = {bioRxiv}, year = {2023}, month = {2023 Dec 07}, abstract = {

Artificial activation of anatomically localized, genetically defined hypothalamic neuron populations is known to trigger distinct innate behaviors, suggesting a hypothalamic nucleus-centered organization of behavior control. To assess whether the encoding of behavior is similarly anatomically confined, we performed simultaneous neuron recordings across twenty hypothalamic regions in freely moving animals. Here we show that distinct but anatomically distributed neuron ensembles encode the social and fear behavior classes, primarily through mixed selectivity. While behavior class-encoding ensembles were spatially distributed, individual ensembles exhibited strong localization bias. Encoding models identified that behavior actions, but not motion-related variables, explained a large fraction of hypothalamic neuron activity variance. These results identify unexpected complexity in the hypothalamic encoding of instincts and provide a foundation for understanding the role of distributed neural representations in the expression of behaviors driven by hardwired circuits.

}, doi = {10.1101/2023.11.21.568163}, url = {https://doi.org/10.1101/2023.11.21.568163}, author = {Stagkourakis, Stefanos and Spigolon, Giada and Marks, Markus and Feyder, Michael and Kim, Joseph and Perona, Pietro and Pachitariu, Marius and Anderson, David J} } @article {65179, title = {Computational neuroethology: A call to action.}, journal = {Neuron}, volume = {104}, year = {2019}, month = {2019 Oct 09}, pages = {11-24}, abstract = {

The brain is worthy of study because it is in charge of behavior. A flurry of recent technical advances in measuring and quantifying naturalistic behaviors provide an important opportunity for advancing brain science. However, the problem of understanding unrestrained behavior in the context of neural recordings and manipulations remains unsolved, and developing approaches to addressing this challenge is critical. Here we discuss considerations in computational neuroethology-the science of quantifying naturalistic behaviors for understanding the brain-and propose strategies to evaluate progress. We point to open questions that require resolution and call upon the broader systems neuroscience community to further develop and leverage measures of naturalistic, unrestrained behavior, which will enable us to more effectively probe the richness and complexity of the brain.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.09.038}, author = {Datta, Sandeep Robert and Anderson, David J and Branson, Kristin and Perona, Pietro and Leifer, Andrew} } @article {48764, title = {A circuit node that integrates convergent input from neuromodulatory and social behavior-promoting neurons to control aggression in Drosophila.}, journal = {Neuron}, volume = {95}, year = {2017}, month = {2017 Aug 30}, pages = {1112-1128.e7}, abstract = {

Diffuse neuromodulatory systems such as norepinephrine (NE) control brain-wide states such as arousal, but whether they control complex social behaviors more specifically is not clear. Octopamine (OA), the insect homolog of NE, is known to promote both arousal and aggression. We have performed a\ systematic, unbiased screen to identify OA receptor-expressing neurons (OARNs) that control aggression in Drosophila. Our results uncover a tiny population of male-specific aSP2 neurons that mediate a specific influence of OA on aggression, independent of any effect on arousal. Unexpectedly, these neurons receive convergent input from OA neurons and P1 neurons, a population of FruM(+) neurons that promotes male courtship behavior. Behavioral epistasis experiments suggest that aSP2 neurons may constitute an integration node at which OAergic neuromodulation can bias the output of P1 neurons to favor aggression over inter-male courtship. These results have potential implications for thinking about\ the role of related neuromodulatory systems in mammals.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2017.08.017}, author = {Watanabe, Kiichi and Chiu, Hui and Pfeiffer, Barret D and Wong, Allan M and Hoopfer, Eric D and Rubin, Gerald M and Anderson, David J} } @article {47304, title = {P1 interneurons promote a persistent internal state that enhances inter-male aggression in Drosophila.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Dec 29}, abstract = {

How brains are hardwired to produce aggressive behavior, and how aggression circuits are related to those that mediate courtship, is not well understood. A large-scale screen for aggression-promoting neurons in Drosophila identified several independent hits that enhanced both inter-male aggression and courtship. Genetic intersections revealed that 8-10 P1 interneurons, previously thought to exclusively control male courtship, were sufficient to promote fighting. Optogenetic experiments indicated that P1 activation could promote aggression at a threshold below that required for wing extension. P1 activation in the absence of wing extension triggered persistent aggression via an internal state that could endure for minutes. High-frequency P1 activation promoted wing extension and suppressed aggression during photostimulation, whereas aggression resumed and wing extension was inhibited following photostimulation offset. Thus, P1 neuron activation promotes a latent, internal state that facilitates aggression and courtship, and controls the overt expression of these social behaviors in a threshold-dependent, inverse manner.

}, issn = {2050-084X}, doi = {10.7554/eLife.11346}, author = {Hoopfer, Eric D and Jung, Yonil and Inagaki, Hidehiko K and Rubin, Gerald M and Anderson, David J} } @article {2678, title = {Automated monitoring and analysis of social behavior in Drosophila.}, journal = {Nature Methods}, volume = {6}, year = {2009}, month = {2009 Apr}, pages = {297-303}, abstract = {

We introduce a method based on machine vision for automatically measuring aggression and courtship in Drosophila melanogaster. The genetic and neural circuit bases of these innate social behaviors are poorly understood. High-throughput behavioral screening in this genetically tractable model organism is a potentially powerful approach, but it is currently very laborious. Our system monitors interacting pairs of flies and computes their location, orientation and wing posture. These features are used for detecting behaviors exhibited during aggression and courtship. Among these, wing threat, lunging and tussling are specific to aggression; circling, wing extension (courtship {\textquoteright}song{\textquoteright}) and copulation are specific to courtship; locomotion and chasing are common to both. Ethograms may be constructed automatically from these measurements, saving considerable time and effort. This technology should enable large-scale screens for genes and neural circuits controlling courtship and aggression.

}, keywords = {Animal, Animals, Artificial Intelligence, Automated, Behavior, Computer-Assisted, Drosophila melanogaster, Humans, Image Interpretation, Monitoring, Movement, Pattern Recognition, Physiologic, Posture, Social Behavior}, issn = {1548-7105}, doi = {10.1038/nmeth.1310}, author = {Dankert, Heiko and Wang, Liming and Hoopfer, Eric D and Anderson, David J and Perona, Pietro} }