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20 results for “Multimodal signaling”
Function of a multimodal signal: a multiple hypothesis test using a robot frog
<p>1. Multimodal communication may evolve because different signals may convey information about the signaller (content-based selection), increase efficacy of signal processing or transmission through the environment (efficacy-based selection), or modify the production of a signal or the receiver's response to it (inter-signal interaction selection).</p> <p>2. To understand the function of a multimodal signal (aggressive calls + toe flags) emitted by males of the frog Crossodactylus schmidti during territorial contests, we tested two hypotheses related to content-based selection (quality and redundant signal), one related to efficacy-based selection (efficacy backup), and one related to inter-signal interaction selection (context). For each hypothesis we derived unique predictions based on the biology of the study species.</p> <p>3. In a natural setting, we exposed resident males to a robot frog simulating aggressive calls (acoustic stimulus) and toe flags (visual stimulus), combined and in isolation, and measured quality-related traits from males and local levels of background noise and light intensity.</p> <p>4. Our results provide support to the context hypothesis, as toe flags (the context signal) are insufficient to elicit a receiver's response on their own. However, when toe flags are emitted together with aggressive calls, they evoke in the receiver qualitatively and quantitatively different responses from that evoked by aggressive calls alone. In contrast, we found no evidence that toe flags and aggressive calls provide complementary or redundant information about male quality, which are key predictions of the quality and redundant signal hypotheses, respectively. Finally, the multimodal signal did not increase the receiver's response across natural gradients of light and background noise, a key prediction of the efficacy backup hypothesis.</p> <p>5. Toe flags accompanying aggressive calls seem to provide contextual information that modify the receiver's response in territorial contests. We suggest this contextual information is increased motivation to escalate the contest, and discuss the benefits to the signallers and receivers of adding a contextual signal to the aggressive display. Examples of context-dependent multimodal signals are rare in the literature, probably because most studies focus on single hypotheses assuming content- or efficacy-based selection. Our study highlights the importance of considering multiple selective pressures when testing multimodal signal function. </p>
Light environment interacts with visual displays in a species-specific manner in multimodal signaling wolf spiders
<p>Light availability is highly variable, yet predictable, over various timescales and the light environment is expected to play an important role in the evolution of visual signals. Courtship displays within the wolf spider genus Schizocosa always involve the use of substrate borne vibrations, however, there is substantial variation between species in the use of visual displays. We assessed the impact of light intensity on the courtship of four species of Schizocosa that vary in their use of visual signals during courtship. To examine the effects of the light environment on mating success and courtship effort in each species, we ran behavioral trials at three light intensities (bright, dim and dark). We also examined each species' circadian activity patterns. We found multiple effects of the light environment and these varied between species. Circadian activity patterns also differed between species and sexes. Our results suggest that dim-light might favor more conspicuous visual displays, while less conspicuous displays might be favored in bright light conditions. Additionally, we found evidence for light-dependent changes in selection on male traits, illustrating that short-term changes in light intensity have the potential for strong effects on the dynamics of sexual selection.</p>
Function of a multimodal signal: a multiple hypothesis test using a robot frog
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Light environment interacts with visual displays in a species-specific manner in multimodal signaling wolf spiders
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Body condition and acoustic noise modify female responses to uni- and multimodal signals emitted by a male-mimicking robot frog
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Data from: Wind- and rain-induced vibrations impose different selection pressures on multimodal signaling
The world is a noisy place, and animals have evolved a myriad of strategies to communicate in it. Animal communication signals are, however, often multimodal; their components can be processed by multiple sensory systems, and noise can thus affect signal components across different modalities. We studied the effect of environmental noise on multimodal communication in the túngara frog (Physalaemus pustulosus). Males communicate with rivals using airborne sounds combined with call-induced water ripples. We tested males under control as well as noisy conditions in which we mimicked rain- and wind-induced vibrations on the water surface. Males responded more strongly to a multimodal playback in which sound and ripples were combined, compared to a unimodal sound-only playback, but only in the absence of rain and wind. Under windy conditions, males decreased their response to the multimodal playback, suggesting that wind noise interferes with the detection of rival ripples. Under rainy conditions, males increased their response, irrespective of signal playback, suggesting that different noise sources can have different impacts on communication. Our findings show that noise in an additional sensory channel can affect multimodal signal perception and thereby drive signal evolution, but not always in the expected direction.
Data from: Wind- and rain-induced vibrations impose different selection pressures on multimodal signaling
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Multimodal and multifunctional signaling? – web reduction courtship behavior in a North American population of the false black widow spider
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Data from: Multimodal signals: ultraviolet reflectance and chemical cues in stomatopod agonistic encounters
Complex signals are commonly used during intraspecific contests over resources to assess an opponent's fighting ability and/or aggressive state. Stomatopod crustaceans may use complex signals when competing aggressively for refuges. Before physical attacks, stomatopods assess their opponents using chemical cues and perform threat displays showing a coloured patch, the meral spot. In some species, this spot reflects UV. However, despite their complex visual system with up to 20 photoreceptor classes, we do not know if stomatopods use chromatic or achromatic signals in contests. In a field study, we found that Neogonodactylus oerstedii meral spot luminance varies with sex, habitat and, more weakly, body length. Next, we conducted an experimental manipulation which demonstrated that both chemical cues and chromatic signals are used during contests. In the absence of chemical cues, stomatopods approached an occupied refuge more quickly and performed offensive behaviours at a lower rate. When UV reflectance was absent, stomatopods performed offensive behaviours more frequently and contest duration trended towards shorter fights. These results provide new evidence that UV reflectance and/or visible spectrum luminance is used to amplify threat displays. Our results are the first to demonstrate that chemical and chromatic cues comprise a multimodal signal in stomatopod contests.
Supplementary methods and dataset related to the manuscript: Temporal integration of multimodal signals in crocodiles
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Data from: Multimodal signals: ultraviolet reflectance and chemical cues in stomatopod agonistic encounters
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Data from: What makes a multimodal signal attractive? A preference function approach
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NOninVasive Intracranial prEssure From Transcranial doppLer Ultrasound Development of a Comprehensive Database of Multimodality Monitoring Signals for Brain-Injured Patients
ClinicalTrials.gov study NCT04548596. IPD Sharing: NO. Countries: 1. Publications: 0.
Dataset for the project "Corticocortical signal transmission and brain connectivity alterations at prodromal stage and during the progression of Alzheimer's disease: A multimodal approach of TMS-EEG and advanced MRI" (GR-2016-02364132)
<p><strong>Aim 1:</strong></p> <p><u>Validation of STT as measure of WM integrity and as diagnostic marker of AD</u>. The first step to test the potential of the STT as AD marker is to establish if the SST can differentiate between patients (LOAD, aMCI) and healthy individuals and its relationship with clinical symptoms and with well-established measures of connectivity.</p> <p> <strong>Aim 2:</strong></p> <p><u>Connectivity changes, evaluated as in aim 1, as prognostic marker of disease progression</u>. Another crucial point is to establish if STT can capture brain connectivity alterations with disease progression, if they parallel WM integrity alterations and cognitive decline. Moreover, the potential contribution of STT as prognostic marker can be established by investigating which measure, or combination of measures, of brain connectivity at the baseline best predicts the conversion to AD in aMCI cases.</p> <p> <strong>Aim3:</strong></p> <p><u>Connectivity changes in EOAD patients.</u> The comparison of connectivity alterations between EOAD and LOAD at the baseline and during the disease progression will be a crucial step to establish the efficacy of STT as a marker of differential diagnosis in atypical forms of AD.</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p> </p> <p>File: <strong>Demographics_allparticipants.xlsx</strong> contains demographic and clinical data of the entire sample</p> <p>File: <strong>Hippocampal volume.xlsx</strong> data used to extract hippocampal atrophy as AD biomarker</p> <p> </p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data of HC, MCI and LOAD at T0 are organized in 3 files with TMS-Evoked Potentials (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T0 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T0</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0</p> <p> </p> <p>- Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in one file that includes TMS-Evoked Potentials of HC, MCI and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0 and T1</p> <p> </p> <p>Folder: <strong>Aim3</strong></p> <p> <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in two files that includes TMS-Evoked Potentials of EOAD and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of EOAD and LOAD at T0 and T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of EOAD and LOAD at T0 and T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of EOAD and LOAD at T0 and T1</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis I
GEO Series GSE256403. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis II
GEO Series GSE256404. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
ScRNAseq - Neurotransmitter signaling regulates distinct phases of multimodal human interneuron migration
GEO Series GSE161550. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis
GEO Series GSE256405. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Other.
Multimodal tomographic reconstruction of picrite basaltic rock. Part 2: Transmission-signal
<p>Full size reconstruction of a picrite basaltic rock from transmission-signal projections.</p>
Multimodal tomographic reconstruction of picrite basaltic rock. Part 1: Dark-signal
<p>Full size reconstruction of a picrite basaltic rock from dark-signal projections.</p>
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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.