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29 results for “insect behavior”
Figure 2: Optimization in natural ants collective behavior: foraging and clustering (from [8])-Self-organization and social insects algorithms
<p>On figure 2, two examples of self-organization in natural ants are presented.<br> On the left side, the well-known Deneubourg experiment consists to highlight<br> with a very simple device the ant foraging problem. The ant objectives is<br> to find the optimal way from nest to food source, using pheromone trail deposition.<br> On the right side, cemetery clustering formation are shown at 4<br> successive times: ants form piles of corpses to clean their nests. Each of them<br> has elementary actions, unknowing the whole situation, but dealing only with<br> local information. There is no supervisor to lead the piles formation which<br> emerges from ant interactions.</p>
Data from: Differential neuroanatomical, neurochemical, and behavioral impacts of early-age isolation in a Eusocial insect
<p>Social experience early in life appears to be necessary for the development of species-typical behavior. Although isolation during critical periods of maturation has been shown to impact behavior through gene expression and brain development in invertebrates and vertebrates, workers of some ant species appear resilient to social deprivation and other neurobiological challenges that occur during senescence or due to loss of sensory input. It is unclear if and to what degree neuroanatomy, neurochemistry, and behavior will show deficiencies if social experience in the early adult life of worker ants is compromised. We reared workers of <em>Camponotus floridanus</em> from adult eclosion under conditions of social isolation for two to 53 days, quantified brain compartment volumes, recorded biogenic amine levels in individual brains, and evaluated movement and behavioral performance to compare the neuroanatomy, neurochemistry, brood-care behavior, and foraging (predatory behavior) of isolated workers with that of workers experiencing natural social contact after adult eclosion. We found that the volume of the antennal lobe, which processes olfactory inputs, was significantly reduced in workers isolated for an average 40 days, whereas the size of the mushroom bodies, centers of higher-order sensory processing, increased after eclosion and was not significantly different from controls. Titers of the neuromodulators serotonin, dopamine, and octopamine remained stable and were not significantly different in isolation treatments and controls. Brood care, predation, and overall movement were reduced in workers lacking social contact early in life. These results suggest that the behavioral development of isolated workers of <em>C. floridanus</em> is specifically impacted by a reduction in the size of the antennal lobe. Task performance and locomotor ability therefore appear to be sensitive to a loss of social contact through a reduction of olfactory processing ability rather than change in the size of the mushroom bodies, which serve important functions in learning and memory, or the central complex, which controls movement.</p>
Fig. 3 in Effect of Solenopsis invicta (Hymenoptera: Formicidae) on flower-visiting behavior of insects on Brassica napus (Brassicales: Brassicaceae)
Fig. 3. The cumulative probability of visiting frequency and duration of each visit of Pieris rapae on Brassica napus in fire ant–excluded, fire ant–included, and fire-ant-and-aphid-included plots.
Fig. 2 in Effect of Solenopsis invicta (Hymenoptera: Formicidae) on flower-visiting behavior of insects on Brassica napus (Brassicales: Brassicaceae)
Fig. 2. Daily number (mean ± SE, the number of Frankliniella intonsa was calculated per 10 min per 10 flowers) of flower visitors on Brassica napus in fire ant–excluded, fire ant–included, and fire-ant-and-aphid-included plots.
Fig. 1 in Effect of Solenopsis invicta (Hymenoptera: Formicidae) on flower-visiting behavior of insects on Brassica napus (Brassicales: Brassicaceae)
Fig. 1. Means (± SE) of species richness (A) and total number (B) of flower visitors on Brassica napus in fire ant–excluded, fire ant–included, and fire-antand-aphid-included plots.
Fig. 4 in Effect of Solenopsis invicta (Hymenoptera: Formicidae) on flower-visiting behavior of insects on Brassica napus (Brassicales: Brassicaceae)
Fig. 4. GC-EAD responses of Pieris rapae males to volatiles of Solenopsis invicta. GC-EAD active compounds: (1) n-tricosane; (2) 3-methyl tricosane; (3) unknown; (4) n-pentacosane; (5) 13-methyl pentacosane; (6) n-heptacosane; (7) 13,15-dimethyl heptacosane.
Data and code for behavioral analysis of: Structural and Molecular Properties of Insect Type II Motor Axon Terminals.
<p>Data and code for behavioral analysis of: Structural and Molecular Properties of Insect Type II Motor Axon Terminals.</p> <p>v1.2: typos corrected and all files available in a single .zip file for download</p>
Behavioral responses to mammalian grazing expose insect herbivores to elevated risk of avian predation
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Data from: Differential neuroanatomical, neurochemical, and behavioral impacts of early-age isolation in a Eusocial insect
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Insect pollinator behavior as a function of distance to the nearest turbine
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Data from: when night becomes day: artificial light at night alters insect behavior under semi-natural conditions
<p>Light is the most important <em>Zeitgeber</em> for temporal synchronization in nature. Artificial light at night (ALAN) disrupts the natural light-dark rhythmicity and thus negatively affects animal behavior. However, to date, ALAN research has been mostly conducted under laboratory conditions in this context. Here, we used the field cricket, <em>Gryllus bimaculatus</em>, to investigate the effect of ALAN on insect behavior under semi-natural conditions, i.e., under shaded natural lighting conditions, natural temperature and soundscape. Male crickets were placed individually in outdoor enclosures and exposed to ALAN conditions ranging from <0.01 to 1500 lx intensity. The crickets' stridulation behavior was recorded for 14 consecutive days and nights and their daily activity patterns were analysed. ALAN impaired the crickets' stridulation rhythm, evoking a change in the crickets' naturally synchronized daily activity period. This was manifested by a light-intensity-dependent increase in the proportion of insects demonstrating an intrinsic circadian rhythm (free-run behavior). This also resulted in a change in the population's median activity cycle period. These ALAN-induced effects occurred despite the crickets' exposure to almost natural conditions. Our findings provide further validity to our previous studies on ALAN conducted under lab conditions and establish the deleterious impacts of ALAN on animal behavioral patterns.</p>
Odor plume tracking behavior of walking and flying insects
<p><span></span></p> <p>Many animals locate food, mates, and territories by following plumes of attractive odors. There are clear differences in the structure of this plume tracking behavior depending on whether an animal is flying, swimming, walking, or crawling. These differences could arise from different control rules used by the central nervous system during these different modes of locomotion or one set of rules interacting with the different environments encountered by animals suspended in flow or moving across the ground. Flow speeds and turbulence that characterize the environments where walking and flying insects track plumes may alter the structure of odor plumes in an environment-specific way that results in the same control rules generating behaviors that appear quite different. We tested these ideas by challenging walking male cockroaches, <em>Periplaneta</em> <em>americana</em>, and flying male moths, <em>Manduca</em> <em>sexta</em>, to track plumes of their species' sex-pheromones in low wind speeds characteristic of cockroach experimental environments, higher wind speeds characteristic of moth experimental environments, and conditions ranging from low to high turbulence. Introducing a turbulence-generating structure into the flow significantly improved the flying plume tracker's ability to locate the odor source, and changed the structure of the behavior of both flying and walking plume trackers. Specifically, the walking and flying plume trackers located the odor source more often in experimental conditions characteristic of environments in which they live suggesting differing reliance on spatial and temporal measurements of the odor plume.</p>
Data from: when night becomes day: artificial light at night alters insect behavior under semi-natural conditions
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Historical behavioral data disentangle evolutionary and environmental drivers of recent declines in insect attraction to light
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Asymmetries-induced nonlinear dynamic behaviors enable a versatile modulation strategy for insect-scale robotics
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Odor plume tracking behavior of walking and flying insects
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Data from: Consistent coordination patterns provide near perfect behavior decoding in a comprehensive motor program for insect flight
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Figure 6 in The Behavioral Ecology of Insect Vibrational Communication
Figure 6. Frequency spectra of vibrational signals (a through f) predicted to evolve in response to different combinations of receiver frequency selectivity and average substrate filtering properties. For example, when the substrate filtering is unpredictable or flat, use of signals containing a broad range of frequencies may ensure that some energy reaches the signaler (a). However, this strategy will only be successful if receivers are also broadly tuned; if receivers are selective for a narrow band of frequencies, signals should likewise be narrowly tuned (b). Use of hosts with different filtering properties (such as lowpass vs. bandpass filters, or bandpass filters with different best frequencies) may favor the evolution of different signals, a process that could contribute to speciation.
Figure 5 in The Behavioral Ecology of Insect Vibrational Communication
Figure 5. Female preference curve for signal frequency compared with the amplitude spectrum of a male advertisement signal for a treehopper (a member of the Enchenopa binotata species complex occurring on the host plant Ptelea trifoliata in central Missouri). (a) Amplitude spectrum of a male advertisement signal that closely matches the mean frequency for the population. The waveform of that signal is shown above. (b) Proportion of females (n = 15) that responded to digitally generated signals that varied in carrier frequency while keeping all other traits at the mean value for the population. Playback stimuli were delivered by means of a magnet attached to the host plant stem and an electromagnet placed 2 millimeters away from the magnet. The stimuli and the female response calls were monitored with a PCB U352B65 accelerometer and U480E09 amplifier connected to a recording computer. Playback intensity was set to the median peak acceleration of the signals of nine males recorded on the playback plant.
Figure 4 in The Behavioral Ecology of Insect Vibrational Communication
Figure 4. Examples of complex vibrational signaling environments. (a) A male treehopper (Heteronotus trinodosus) producing advertisement signals in alternation with another male on the same stem. (b, c) Field recordings from two herbaceous plants in Soberanía National Park, Panama. Each recording contains signals of approximately four insect species, with one species signaling continuously (indicated with number 1 in panel b and number 3 in panel c). Scale bars = 1 second. It is difficult to gain from figures like these the impression one gets, when listening to vibrational signals in plants in the field, of an encounter with a mysterious and alien world of sound.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.