A Contact-Dependent Animal-to-Vegetal Signal Biases Neural Lineages duringXenopusCleavage Stages

In a model, conflicts of interest between communicating individuals are shown to have an important influence on the cost and form of signals that evolve. Two types of conflict are considered: competition between senders to obtain a response from the receiver, and conflict between the sender and the receiver. The receiver system is modelled as an artificial neural network whose ‘resistance’ to signals is represented as a motivational factor that varies independently of the signal. Biases in the receiver system act as the selective force on signals, causing them to become more costly and conspicuous as the intensity of conflict increases. There is some evidence that competition between senders and sender—receiver conflict may have qualitatively different outcomes. We give examples of some situations to which the model might be applied and point out some predictions that could be tested empirically.

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Correcting signal biases and detecting regulatory elements in STARR-seq data

Genome Research ◽

10.1101/gr.269209.120 ◽

2021 ◽

pp. gr.269209.120

Author(s):

Young-Sook Kim ◽

Graham D. Johnson ◽

Jungkyun Seo ◽

Alejandro Barrera ◽

William H. Majoros ◽

...

Keyword(s):

Regulatory Elements ◽

Signal Biases

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Signal Biases Calibration for Precise Orbit Determination of the Chinese Area Positioning System using SLR and C-Band Transfer Ranging Observations

Journal of Navigation ◽

10.1017/s0373463316000205 ◽

2016 ◽

Vol 69 (6) ◽

pp. 1234-1246

Author(s):

Cao Fen ◽

Yang Xuhai ◽

Li Zhigang ◽

Chen Liang ◽

Feng Chugang

Keyword(s):

Orbit Determination ◽

Precise Orbit Determination ◽

Comparison Method ◽

Positioning System ◽

Delay Model ◽

Precise Orbit ◽

Percentage Improvement ◽

Geo Satellites ◽

Signal Biases

In C-Band transfer measuring systems, the Precise Orbit Determination (POD) precision of Geostationary Earth Orbit (GEO) satellites is limited by signal biases such as the station delay biases, transponder delay biases, the ionospheric delay model bias, etc. In order to improve the POD precision, the signal biases of the Chinese Area Positioning System (CAPS) are calibrated using Satellite Laser Ranging (SLR) and C-Band Transfer Ranging (CBTR) observations. Since the Changchun SLR site and C-Band station are close to each other, the signal biases of the Changchun C-Band station are calibrated using the co-location comparison method. Then the signal biases of the other two CAPS C-Band stations, located in Linton and Kashi, are calibrated using the combined POD method, with the signal biases of the Changchun C-Band station being fixed. After the signal biases are calibrated, the RMS of the line-of-sight residuals of the Changchun SLR observations decrease by 0·4 m, with the percentage improvement being 75·19%.

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Remote sensing of seabed types in the Australian South East Fishery; development and application of normal incident acoustic techniques and associated 'ground truthing'

Marine and Freshwater Research ◽

10.1071/mf99181 ◽

2001 ◽

Vol 52 (4) ◽

pp. 475 ◽

Cited By ~ 38

Author(s):

R. J. Kloser ◽

N. J. Bax ◽

T. Ryan ◽

A. Williams ◽

B. A. Barker

Keyword(s):

Extraction Methods ◽

Video Data ◽

Single Frequency ◽

Acoustic Backscattering ◽

Acoustic Data ◽

Swath Mapping ◽

Acoustic Techniques ◽

Different Depths ◽

Signal Biases ◽

Ground Truthing

Calibrated acoustic backscattering measurements using 12, 38 and 120 kHz were collected over depths of 30–230 m, together with benthic epi- and in-fauna, sediments, photographs and video data. Each acoustic ping was envelope detected and digitized by echo sounder to include both the first and second echoes, and specifically designed software removed signal biases. A reference set of distinct habitat types at different depths was established, and a simple classification of the seabed combined both biological and geological attributes. Four seabed types were identified as having broad biological and geological significance;the simple acoustic indices could discriminate three of these at a single frequency. This demonstrates that the acoustic indices are not directly related to specific seabed properties but to a combination of seabed hardness and roughness attributes at a particular sampling frequency. The acoustic-derived maps have greater detail of seabed structure than previously described by sediment surveys and fishers’ interpretation. The collection of calibrated digital acoustic data at multiple frequencies and the creation of reference seabed sites will ensure that new shape-and energy-based feature extraction methods on the ping-based data can begin to unravel the complexities of the seabed. The methods described can be transferred to higher-resolution swath-mapping acoustic-sampling devices such as digital side-scan sonars and multi-beam echo sounders.

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The Roles of Multiple UNC-40 (DCC) Receptor-Mediated Signals in Determining Neuronal Asymmetry Induced by the UNC-6 (Netrin) Ligand

Genetics ◽

10.1534/genetics.109.108654 ◽

2009 ◽

Vol 183 (3) ◽

pp. 941-949 ◽

Cited By ~ 18

Author(s):

Zhennan Xu ◽

Haichang Li ◽

William G. Wadsworth

Keyword(s):

Amino Acid ◽

Conformational Changes ◽

Single Amino Acid ◽

Link Type ◽

Guidance Cue ◽

Single Amino Acid Change ◽

Signal Biases ◽

Mutant Phenotypes ◽

Neuronal Asymmetry ◽

Orientation Signal

The polarization of post-mitotic neurons is poorly understood. Preexisting spatially asymmetric cues, distributed within the neuron or as extracellular gradients, could be required for neurons to polarize. Alternatively, neurons might have the intrinsic ability to polarize without any preestablished asymmetric cues. In Caenorhabditis elegans, the UNC-40 (DCC) receptor mediates responses to the extracellular UNC-6 (netrin) guidance cue. For the HSN neuron, an UNC-6 ventral-dorsal gradient asymmetrically localizes UNC-40 to the ventral HSN surface. There an axon forms, which is ventrally directed by UNC-6. In the absence of UNC-6, UNC-40 is equally distributed and the HSN axon travels anteriorly in response to other cues. However, we find that a single amino acid change in the UNC-40 ectodomain causes randomly oriented asymmetric UNC-40 localization and a wandering axon phenotype. With UNC-6, there is normal UNC-40 localization and axon migration. A single UNC-6 amino acid substitution enhances the mutant phenotypes, whereas UNC-6 second-site amino acid substitutions suppress the phenotypes. We propose that UNC-40 mediates multiple signals to polarize and orient asymmetry. One signal triggers the intrinsic ability of HSN to polarize and causes randomly oriented asymmetry. Concurrently, another signal biases the orientation of the asymmetry relative to the UNC-6 gradient. The UNC-40 ectodomain mutation activates the polarization signal, whereas different forms of the UNC-6 ligand produce UNC-40 conformational changes that allow or prohibit the orientation signal.

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Contributions of optostatic and optokinetic cues to the perception of vertical

Journal of Neurophysiology ◽

10.1152/jn.00740.2018 ◽

2019 ◽

Vol 122 (2) ◽

pp. 480-489 ◽

Cited By ~ 1

Author(s):

Nynke Niehof ◽

Florian Perdreau ◽

Mathieu Koppen ◽

W. Pieter Medendorp

Keyword(s):

Visual Cues ◽

Internal Representation ◽

Stimulus Velocity ◽

Rotation Direction ◽

Vestibular Cues ◽

Neural Computations ◽

Observer Model ◽

Frame Orientation ◽

Signal Biases ◽

The Individual

While it has been well established that optostatic and optokinetic cues contribute to the perception of vertical, it is unclear how the brain processes their combined presence with the nonvisual vestibular cues. Using a psychometric approach, we examined the percept of vertical in human participants ( n = 17) with their body and head upright, presented with a visual frame tilted at one of eight orientations (between ±45°, steps of 11.25°) or no frame, surrounded by an optokinetic roll-stimulus (velocity = ±30°/s or stationary). Both cues demonstrate relatively independent biases on vertical perception, with a sinusoidal modulation by frame orientation of ~4° and a general shift of ~1–2° in the rotation direction of the optic flow. Variability was unaffected by frame orientation but was higher with than without optokinetic rotation. An optimal-observer model in which vestibular, optostatic, and optokinetic cues provide independent sources to vertical perception was unable to explain these data. In contrast, a model in which the optokinetic signal biases the internal representation of gravity, which is then optimally integrated with the optostatic cue, provided a good account, at the individual participant level. We conclude that optostatic and optokinetic cues interact differently with vestibular cues in the neural computations for vertical perception. NEW & NOTEWORTHY Static and dynamic visual cues are known to bias the percept of vertical, but how they interact with vestibular cues remains to be established. Guided by an optimal-observer model, the present results suggest that optokinetic information is combined with vestibular information into a single, vestibular-optokinetic estimate, which is integrated with an optostatically derived estimate of vertical.

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