An automatic system for recognizing fly courtship patterns via an image processing method.

Fruit fly courtship behaviors composed of a series of actions have always been an important model for behavioral research. While most related studies have focused only on total courtship behaviors, specific courtship elements have often been underestimated. Identifying these courtship element details is extremely labor intensive and would largely benefit from an automatic recognition system. To address this issue, in this study, we established a vision-based fly courtship behavior recognition system. The system based on the proposed image processing methods can precisely distinguish body parts such as the head, thorax, and abdomen and automatically recognize specific courtship elements, including orientation, singing, attempted copulation, copulation and tapping, which was not detectable in previous studies. This system, which has high identity tracking accuracy (99.99%) and high behavioral element recognition rates (> 97.35%), can ensure correct identification even when flies completely overlap. Using this newly developed system, we investigated the total courtship time, and proportion, and transition of courtship elements in flies across different ages and found that male flies adjusted their courtship strategy in response to their physical condition. We also identified differences in courtship patterns between males with and without successful copulation. Our study therefore demonstrated how image processing methods can be applied to automatically recognize complex animal behaviors. The newly developed system will largely help us investigate the details of fly courtship in future research.

An automated, low-latency environment for studying the neural basis of behavior in freely moving rats.

BACKGROUND: Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). RESULTS: To overcome this mismatch, we developed the Rat Interactive Foraging Facility (RIFF): a programmable interactive arena for freely moving rats with multiple feeding areas, multiple sound sources, high-resolution behavioral tracking, and simultaneous electrophysiological recordings. The paper provides detailed information about the construction of the RIFF and the software used to control it. To illustrate the flexibility of the RIFF, we describe two complex tasks implemented in the RIFF, a foraging task and a sound localization task. Rats quickly learned to obtain rewards in both tasks. Neurons in the auditory cortex as well as neurons in the auditory field in the posterior insula had sound-driven activity during behavior. Remarkably, neurons in both structures also showed sensitivity to non-auditory parameters such as location in the arena and head-to-body angle. CONCLUSIONS: The RIFF provides insights into the cognitive capabilities and learning mechanisms of rats and opens the way to a better understanding of how brains control behavior. The ability to do so depends crucially on the combination of wireless electrophysiology and detailed behavioral documentation available in the RIFF.

Stride-level analysis of mouse open field behavior using deep-learning-based pose estimation.

Gait and posture are often perturbed in many neurological, neuromuscular, and neuropsychiatric conditions. Rodents provide a tractable model for elucidating disease mechanisms and interventions. Here, we develop a neural-network-based assay that adopts the commonly used open field apparatus for mouse gait and posture analysis. We quantitate both with high precision across 62 strains of mice. We characterize four mutants with known gait deficits and demonstrate that multiple autism spectrum disorder (ASD) models show gait and posture deficits, implying this is a general feature of ASD. Mouse gait and posture measures are highly heritable and fall into three distinct classes. We conduct a genome-wide association study to define the genetic architecture of stride-level mouse movement in the open field. We provide a method for gait and posture extraction from the open field and one of the largest laboratory mouse gait and posture data resources for the research community.

Natural sensory context drives diverse brain-wide activity during C. elegans mating.

Natural goal-directed behaviors often involve complex sequences of many stimulus-triggered components. Understanding how brain circuits organize such behaviors requires mapping the interactions between an animal, its environment, and its nervous system. Here, we use brain-wide neuronal imaging to study the full performance of mating by the C. elegans male. We show that as mating unfolds in a sequence of component behaviors, the brain operates similarly between instances of each component but distinctly between different components. When the full sensory and behavioral context is taken into account, unique roles emerge for each neuron. Functional correlations between neurons are not fixed but change with behavioral dynamics. From individual neurons to circuits, our study shows how diverse brain-wide dynamics emerge from the integration of sensory perception and motor actions in their natural context.

Prefrontal GABAergic Interneurons Gate Long-Range Afferents to Regulate Prefrontal Cortex-Associated Complex Behaviors.

Prefrontal cortical GABAergic interneurons (INs) and their innervations are essential for the execution of complex behaviors such as working memory, social behavior, and fear expression. These behavior regulations are highly dependent on primary long-range afferents originating from the subcortical structures such as mediodorsal thalamus (MD), ventral hippocampus (vHPC), and basolateral amygdala (BLA). In turn, the regulatory effects of these inputs are mediated by activation of parvalbumin-expressing (PV) and/or somatostatin expressing (SST) INs within the prefrontal cortex (PFC). Here we review how each of these long-range afferents from the MD, vHPC, or BLA recruits a subset of the prefrontal interneuron population to exert precise control of specific PFC-dependent behaviors. Specifically, we first summarize the anatomical connections of different long-range inputs formed on prefrontal GABAergic INs, focusing on PV versus SST cells. Next, we elaborate on the role of prefrontal PV- and SST- INs in regulating MD afferents-mediated cognitive behaviors. We also examine how prefrontal PV- and SST- INs gate vHPC afferents in spatial working memory and fear expression. Finally, we discuss the possibility that prefrontal PV-INs mediate fear conditioning, predominantly driven by the BLA-mPFC pathway. This review will provide a broad view of how multiple long-range inputs converge on prefrontal interneurons to regulate complex behaviors and novel future directions to understand how PFC controls different behaviors.

Model and Non-model Insects in Chronobiology.

The fruit fly Drosophila melanogaster is an established model organism in chronobiology, because genetic manipulation and breeding in the laboratory are easy. The circadian clock neuroanatomy in D. melanogaster is one of the best-known clock networks in insects and basic circadian behavior has been characterized in detail in this insect. Another model in chronobiology is the honey bee Apis mellifera, of which diurnal foraging behavior has been described already in the early twentieth century. A. mellifera hallmarks the research on the interplay between the clock and sociality and complex behaviors like sun compass navigation and time-place-learning. Nevertheless, there are aspects of clock structure and function, like for example the role of the clock in photoperiodism and diapause, which can be only insufficiently investigated in these two models. Unlike high-latitude flies such as Chymomyza costata or D. ezoana, cosmopolitan D. melanogaster flies do not display a photoperiodic diapause. Similarly, A. mellifera bees do not go into "real" diapause, but most solitary bee species exhibit an obligatory diapause. Furthermore, sociality evolved in different Hymenoptera independently, wherefore it might be misleading to study the social clock only in one social insect. Consequently, additional research on non-model insects is required to understand the circadian clock in Diptera and Hymenoptera. In this review, we introduce the two chronobiology model insects D. melanogaster and A. mellifera, compare them with other insects and show their advantages and limitations as general models for insect circadian clocks.

O que (não) há de "complexo" no comportamento? Behaviorismo radical, self, insight e linguagem / Qu'est qui est (et n'est pas) "complexe" dans le comportement? Béhaviorisme radical, self, insight et langage / ¿Qué (no) hay de "complejo" sobre el comportamiento? Conductismo radical, self, insight y lenguaje / What is (not) "complex" about behavior? Radical behaviorism, self, insight and language

Resumo Uma crítica comum encontrada em manuais e livros didáticos de psicologia é que a análise do comportamento não seria capaz de explicar fenômenos psicológicos complexos. Estes seriam melhor abordados por explicações cognitivistas baseadas em mecanismos internos ao organismo. Este ensaio tem como objetivo avaliar a pertinência dessa crítica à luz de exemplos da literatura analítico-comportamental. A partir da análise de pesquisas que tratam de formação de self, insight e linguagem, argumenta-se que a "complexidade" foi importada para os laboratórios de análise do comportamento, assim como floresceu em diversas linhas de pesquisa de tradição behaviorista radical. Em adição, são discutidos cinco significados possíveis dados à "complexidade" extraídos da literatura consultada. Conclui-se que não há significado útil do termo e que, por essa razão, talvez seja pertinente abandoná-lo como critério de classificação de comportamentos. Como consequência, "comportamento complexo" seria simplesmente "comportamento" e nada mais.

Résumé Une critique généralement trouvée dans les manuels et les livres de psychologie est que l'analyse de comportement ne serait pas capable d'expliquer les phénomènes psychologiques complexes. Ceux-ci seraient mieux abordées par des explications cognitives basées sur des mécanismes internes à l'organisme. Cet article vise à discuter la pertinence de cette critique à la lumière d'exemples de la littérature sur l'analyse de comportement. En analysant la recherche sur la formation du "self", "Insight" et du langage, on soutient que la "complexité" a été importé pour les laboratoires d'analyse comportementale, mais a aussi prospéré dans des nombreux domaines de recherche de la tradition béhavioriste radical. En outre, cinq significations possibles de "complexité" extraites de la littérature consultée sont discutés. On conclut qu'il n'y a pas de sens utile à ce terme et que, par conséquent, il peut être abandonné en tant que critère de classification des comportements. En conséquence, "comportement complexe" serait tout simplement "comportement" et rien de plus.

Resumen Una de las críticas a la Análisis de la Conducta, que se encuentran en los manuales y libros didácticos de psicología, es que esta no sería capaz de explicar los fenómenos psicológicos complejos. Estos serían mejor abordados por las explicaciones cognitivas basadas en los mecanismos internos del organismo. Este trabajo tiene como objetivo evaluar la relevancia de esta crítica a la luz de ejemplos de la literatura. A partir de investigaciones acerca del "self", "insight" y lenguaje, se argumenta que se importó la "complejidad" tanto para los laboratorios de análisis del comportamiento, como también floreció en varias líneas de investigación en la tradición conductista radical. Además, se discuten cinco posibles significados al término "complejidad". Llegamos a la conclusión de que no hay un significado útil y que, por esto, se puede abandonarlo como criterio de clasificación de comportamientos. Como resultado, "comportamiento complejo" haría simplemente "comportamiento" y nada más.

Abstract A criticism usually found in Psychology textbooks and manuals is that Behavior Analysis would not be able to explain complex psychological phenomena. These would be better approached by cognitivist explanations based on mechanisms internal to the organism. This study aims to discuss the relevance of this criticism in light of examples gathered from behavior-analytic literature. By analyzing researches about the formation of "self", "insight" and language, we argue that "complexity" was imported to behavior-analytic laboratories as well as it flourished in numerous fields of research of radical behaviorism tradition. Additionally, five meanings of "complexity" extracted from the consulted literature are discussed. It is concluded that there is no useful meaning to this term and, for that reason, it can be abandoned as a criterion for classifying behaviors. As a consequence, "complex behavior" should be viewed only as "behavior" and nothing else.

Bacteria Use Collective Behavior to Generate Diverse Combat Strategies.

Animals have evolved a wide diversity of aggressive behavior often based upon the careful monitoring of other individuals. Bacteria are also capable of aggression, with many species using toxins to kill or inhibit their competitors. Like animals, bacteria also have systems to monitor others during antagonistic encounters, but how this translates into behavior remains poorly understood. Here, we use colonies of Escherichia coli carrying colicin-encoding plasmids as a model for studying antagonistic behavior. We show that in the absence of threat, dispersed cells with low reproductive value produce colicin toxins spontaneously, generating efficient pre-emptive attacks. Cells can also respond conditionally to toxins released by clonemates via autoinduction or other genotypes via competition sensing. The strength of both pre-emptive and responsive attacks varies widely between strains. We demonstrate that this variability occurs easily through mutation by rationally engineering strains to recapitulate the diversity in naturally occurring strategies. Finally, we discover that strains that can detect both competitors and clonemates are capable of massive coordinated attacks on competing colonies. This collective behavior protects established colonies from competitors, mirroring the evolution of alarm calling in the animal world.

Model-Based Phenotypic Signatures Governing the Dynamics of the Stem and Semi-differentiated Cell Populations in Dysplastic Colonic Crypts.

Mathematical modeling of cell differentiated in colonic crypts can contribute to a better understanding of basic mechanisms underlying colonic tissue organization, but also its deregulation during carcinogenesis and tumor progression. Here, we combined bifurcation analysis to assess the effect that time delay has in the complex interplay of stem cells and semi-differentiated cells at the niche of colonic crypts, and systematic model perturbation and simulation to find model-based phenotypes linked to cancer progression. The models suggest that stem cell and semi-differentiated cell population dynamics in colonic crypts can display chaotic behavior. In addition, we found that clinical profiling of colorectal cancer correlates with the in silico phenotypes proposed by the mathematical model. Further, potential therapeutic targets for chemotherapy resistant phenotypes are proposed, which in any case will require experimental validation.

Zolpidem Induced Sleep-related Eating and Complex Behaviors in a Patient with Obstructive Sleep Apnea and Restless Legs Syndrome.

Zolpidem-induced sleep-related complex behaviors (SRCB) with anterograde amnesia have been reported. We describe herein a case in which the development of zolpidem-induced sleep-related eating disorder (SRED) and SRCB was strongly suspected. A 71-year-old Korean male was admitted to the Department of Psychiatry due to his repetitive SRED and SRCB with anterograde amnesia, which he reported as having occurred since taking zolpidem. The patient also had restless legs syndrome (RLS) and obstructive sleep apnea (OSA). His baseline serum iron level was low at admission. Zolpidem discontinuation resulted in the immediate disappearance of his SRED, but did not affect his RLS symptoms. These symptoms rapidly improved after adding a single i.v. iron injection once daily, and so he was discharged to day-clinic treatment. These findings indicate that zolpidem can induce SRCB. Although the pathophysiology of zolpidem-induced SRED and other SRCB remains unclear, clinicians should carefully monitor for the potential induction of complex behaviors associated with zolpidem in patients with comorbid RLS or OSA.

Zolpidem Induced Sleep-related Eating and Complex Behaviors in a Patient with Obstructive Sleep Apnea and Restless Legs Syndrome

Zolpidem-induced sleep-related complex behaviors (SRCB) with anterograde amnesia have been reported. We describe herein a case in which the development of zolpidem-induced sleep-related eating disorder (SRED) and SRCB was strongly suspected. A 71-year-old Korean male was admitted to the Department of Psychiatry due to his repetitive SRED and SRCB with anterograde amnesia, which he reported as having occurred since taking zolpidem. The patient also had restless legs syndrome (RLS) and obstructive sleep apnea (OSA). His baseline serum iron level was low at admission. Zolpidem discontinuation resulted in the immediate disappearance of his SRED, but did not affect his RLS symptoms. These symptoms rapidly improved after adding a single i.v. iron injection once daily, and so he was discharged to day-clinic treatment. These findings indicate that zolpidem can induce SRCB. Although the pathophysiology of zolpidem-induced SRED and other SRCB remains unclear, clinicians should carefully monitor for the potential induction of complex behaviors associated with zolpidem in patients with comorbid RLS or OSA.

Insight em macacos-prego (Sapajus spp) com diferentes contextos de treino das habilidades pré-requisitos / Insight in Capuchin-monkeys (Sapajus spp) with different contexts of training of prerequisite abilities

Insight, na Psicologia Experimental, indica, tradicionalmente, a resolução súbita e espontânea de um determinado problema. O presente estudo verificou a ocorrência de resolução súbita em macacos-prego (Sapajus spp.) a partir do treino de habilidades pré-requisitos de uma tarefa. Adicionalmente o estudo avaliou se a manipulação do local de treino altera a topografia de solução do problema. Dois sujeitos foram treinados a: a) encaixar objetos e b) pescar objetos fora do alcance utilizando uma ferramenta. O treino das duas habilidades se deu de forma independente e em diferentes contextos. A tarefa final consistiiu em pescar um alimento fora do alcance encaixando um par de ferramentas nunca antes manuseado. Os dois sujeitos resolveram a tarefa, entretanto, nenhum apresentou um desempenho tipicamente de insight, na medida em que as resoluções foram pouco fluidas, com pausas entre suas etapas, e aparentemente sem direcionamento. Discute-se o papel do treino das habilidades pré-requisitos em ambientes diferenciados como um fator que dificulta a resolução da tarefa

Insight, in Experimental Psychology, traditionally refers a sudden and spontaneous solution of a specific problem. The present study aims to verify the occurrence of sudden problem resolution in capuchin monkeys (Sapajus spp.) based on explicit training of two pre-requisite repertoires. Additionally, we examined if the manipulation of the context of training alters the topography of the problem solution response. Two subjects were trained to: a) join objects, and b) to rake objects with a tool. The training of the two repertoires was independent and was carried out in different contexts. The final task consists in raking a piece of food with a joinable tool that was never seen before. The two subjects solved the task, but the topography of solution was not clearly compatible with insight interpretation. The solutions had pauses between steps, and the behavior was not goal directed. The negative effects of different contexts for the training of the pre-requisite repertoires are discussed

Fractal-like correlations of the fluctuating inter-spike membrane potential of a Helix aspersa pacemaker neuron.

We analyzed the voltage fluctuations of the membrane potential manifested along the inter-spike segment of a pacemaker neuron. Time series of intracellular inter-spike voltage fluctuations were obtained in the current-clamp configuration from the F1 neuron of 12 Helix aspersa specimens. To assess the dynamic or stochastic nature of the voltage fluctuations these series were analyzed by Detrended Fluctuation Analysis (DFA), providing the scaling exponent α. The median α result obtained for the inter-spike segments was 0.971 ([0.963, 0.995] lower and upper quartiles). Our results indicate a critical-like dynamic behavior in the inter-spike membrane potential that, far from being random, shows long-term correlations probably linked to the dynamics of the mechanisms involved in the regulation of the membrane potential, thereby endorsing the occurrence of critical-like phenomena at a single-neuron level.