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Relevant bibliographies by topics / Behavioral signaling

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Academic literature on the topic 'Behavioral signaling'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "Behavioral signaling"

1

Furigo, Isadora C., Angela M. Ramos-Lobo, Renata Frazão, and J. Donato. "Brain STAT5 signaling and behavioral control." Molecular and Cellular Endocrinology 438 (December 2016): 70–76. http://dx.doi.org/10.1016/j.mce.2016.04.019.

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Hofmann, Hans A. "Gonadotropin-releasing hormone signaling in behavioral plasticity." Current Opinion in Neurobiology 16, no. 3 (June 2006): 343–50. http://dx.doi.org/10.1016/j.conb.2006.05.005.

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Han, Chang S., and Piotr G. Jablonski. "Alternative reproductive tactics shape within-species variation in behavioral syndromes." Behavioral Ecology 30, no. 5 (May 20, 2019): 1234–41. http://dx.doi.org/10.1093/beheco/arz068.

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AbstractMultiple behaviors can correlate with each other at the individual level (behavioral syndrome), and behavioral syndromes can vary in their direction between populations within a species. Within-species variation in behavioral syndromes is predicted to be associated with alternative reproductive tactics (ARTs), which evolve under different selection regimes. Here, we tested this using a water strider species, Gerris gracilicornis, in which males employ 2 ARTs that are fixed for life: signaling males (producing courtship ripples) versus nonsignaling males (producing no courtship ripples). We measured multiple behaviors in males with both of these ARTs and compared behavioral syndromes between them. Our results showed that signaling males were more active and attempted to mate more frequently than nonsignaling males. This shaped an overall behavioral syndrome between activities in mating and nonmating contexts when we pooled both ARTs. In addition, the behavioral syndromes between cautiousness and mating activity differed significantly between ARTs. In signaling males, the syndrome was significantly negative: signaling males more eager to mate tended to leave their refuges more rapidly. However, mating activity and cautiousness were not correlated in nonsignaling males. This might be because active males, in the context of predation risk and mating, were favored during the evolution and maintenance of the unique intimidating courtship tactic of G. gracilicornis males. Thus, our findings suggest that ARTs facilitate behavioral divergence and also contribute to the evolution of tactic-specific behavioral syndromes. We also show that research on ARTs and behavioral syndromes can be harmonized to study behavioral variation.

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Daniels, D., E. G. Mietlicki, and E. L. Nowak. "Behavioral relevance of angiotensin II receptor intracellular signaling pathways." Appetite 51, no. 2 (September 2008): 361. http://dx.doi.org/10.1016/j.appet.2008.04.067.

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Newton, P. M., and R. O. Messing. "Intracellular signaling pathways that regulate behavioral responses to ethanol." Pharmacology & Therapeutics 109, no. 1-2 (January 2006): 227–37. http://dx.doi.org/10.1016/j.pharmthera.2005.07.004.

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Fuxjager, Matthew J., and Eric R. Schuppe. "Androgenic signaling systems and their role in behavioral evolution." Journal of Steroid Biochemistry and Molecular Biology 184 (November 2018): 47–56. http://dx.doi.org/10.1016/j.jsbmb.2018.06.004.

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Daniels, Derek, Daniel K. Yee, Lucy F. Faulconbridge, and Steven J. Fluharty. "Divergent Behavioral Roles of Angiotensin Receptor Intracellular Signaling Cascades." Endocrinology 146, no. 12 (December 1, 2005): 5552–60. http://dx.doi.org/10.1210/en.2005-0774.

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Central injections of angiotensin II (AngII) increase both water and NaCl intake. These effects of AngII occur largely through stimulation of the AngII type 1 (AT1) receptor. Stimulation of the AT1 receptor leads to a number of intracellular events, including phospholipase C (PLC) activation and the subsequent formation of diacylglycerol and inositol trisphosphate (IP3), which then activate protein kinase C (PKC) and increase intracellular calcium, respectively. In addition, AT1 receptor stimulation leads to the activation of MAPK family members. Recent experiments using mutated AT1 receptor constructs or the AngII analog Sar1,Ile4,Ile8-AngII (SII) revealed that MAPK activation can occur independent of PLC/PKC/IP3 activation. The present experiments used in vitro and in vivo approaches to clarify the cellular and behavioral responses to SII. Specifically, SII mimicked AngII stimulation of MAPK in AT1 receptor-transfected COS-1 cells and rat brain but blocked the effects of AngII in two distinct settings: in vitro stimulation of IP3 and in vivo increases in water intake. Moreover, SII increased intake of 1.5% NaCl, despite the SII blockade of IP3 formation and water intake. Examination of brain tissue showed increases in Fos expression in several AngII-sensitive brain areas after injection of AngII, but not SII. The lack of SII-induced IP3 production, water intake, and Fos expression strongly suggest that the PLC/PKC/IP3 pathway is required for water intake, but not NaCl consumption stimulated by AngII. Collectively, these results support the hypothesis that divergent intracellular signals from a single receptor type can give rise to separable behavioral phenomena.

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Landsman, R. E. "Captivity affects behavioral physiology: Plasticity in signaling sexual identity." Experientia 47, no. 1 (January 1991): 31–38. http://dx.doi.org/10.1007/bf02041245.

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Mills, Edouard G. A., Kevin T. O'Byrne, and Alexander N. Comninos. "Kisspeptin as a Behavioral Hormone." Seminars in Reproductive Medicine 37, no. 02 (March 2019): 056–63. http://dx.doi.org/10.1055/s-0039-3400239.

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AbstractSuccessful reproduction is dependent not only on hormonal endocrine responses but also on suitable partner selection, copulatory acts, as well as associated emotional, behavioral, and cognitive processes many of which are supported by the limbic system. The reproductive hormone kisspeptin (encoded by the KISS1/kiss1 gene) is now recognized as the key orchestrator of the reproductive axis. In addition to the hypothalamus, prominent kisspeptin neuronal populations have been identified throughout limbic and paralimbic brain regions across an assortment of species. In this review, we detail the emerging roles of kisspeptin signaling in the broader aspects of behavioral, emotional, and cognitive control. Recent studies from zebrafish through humans have provided new molecular and neural insights into the complex role of kisspeptin in interpreting olfactory and auditory cues to govern sexual partner preference, in regulating copulatory behaviors and in influencing mood and emotions. Furthermore, emerging roles for kisspeptin in facilitating memory and learning are also discussed. To this end, these findings shed new light onto the importance of kisspeptin signaling, while informing the pharmacological development of kisspeptin as a potential therapeutic strategy for individuals suffering from associated reproductive, emotional, and cognitive disorders.

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Harraz, Maged, and Solomon Snyder. "Nitric Oxide-GAPDH Transcriptional Signaling Mediates Behavioral Actions of Cocaine." CNS & Neurological Disorders - Drug Targets 14, no. 6 (June 24, 2015): 757–63. http://dx.doi.org/10.2174/1871527314666150529150143.

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Dissertations / Theses on the topic "Behavioral signaling"

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Rosenthal, Gil Guastoni. "The behavioral ecology of visual signaling in swordtails /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Harris, Gareth P. "Behavioral State Modulates Olfactory Perception and Behavioral Response: Serotonergic and Peptidergic Signaling Interact to Modulate Aversive Olfactory Behaviors in Caenorhabditis elegans." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279300152.

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McLaughlin, Ryan Joseph. "Prefrontal endocannabinoid signaling mediates neuroendocrine and behavioral coping responses to stress." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42054.

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Major depression is a heterogeneous disease often precipitated by dysfunction within the neuroendocrine stress circuitry, leading to profound deficits in prefrontocortical function. The endocannabinoid system has recently emerged as a vital component of the stress response; however, the mechanisms by which endocannabinoid signaling in the prefrontal cortex (PFC) modulates neuroendocrine and behavioral responses to stress has yet to be elucidated. In Chapter 2, genetic deletion of the CB₁ receptor prolonged corticosterone secretion following cessation of stress, which was recapitulated by CB₁ receptor antagonism within the medial PFC. Acute stress produced a delayed elevation in 2-arachidonoylglycerol (2-AG) content in the medial PFC that was reversed by glucocorticoid receptor antagonism. Immunohistochemical and electrophysiological data demonstrated the presence of CB₁ receptors in inhibitory-type terminals impinging upon principal neurons within layer V of the medial PFC. Furthermore, application of corticosterone to prefrontocortical slices suppressed γ-aminobutyric acid release onto layer V principal neurons, which was prevented by CB₁ receptor antagonism. Hence, the ability of glucocorticoids to terminate HPA axis activity is mediated by local recruitment of 2-AG in the medial PFC. In Chapter 3, forced swim stress rapidly suppressed anandamide (AEA) content in the medial PFC. Local inhibition of AEA hydrolysis decreased passive coping and increased active coping strategies in the forced swim test (FST) in a CB₁ receptor-dependent and serotonin-mediated manner. Furthermore, local inhibition of AEA hydrolysis increased the firing rate of serotonin neurons, suggesting that prefrontocortical AEA signaling modulates stress coping behaviors via regulation of serotonergic neurotransmission. In Chapter 4, rats exposed to chronic unpredictable stress (CUS) displayed increased CB₁ receptor binding specifically within the ventromedial PFC. CUS exposure increased passive coping and decreased active coping strategies in the FST, which was further augmented by ventromedial PFC CB₁ receptor blockade. Thus, the increase in CB₁ receptor binding observed in the ventromedial PFC of CUS-exposed rodents serves a compensatory role that maintains proactive coping strategies under chronically stressful conditions. Collectively, this body of research indicates that prefrontocortical endocannabinoid signaling is a critical mediator of neuroendocrine and behavioral stress responses and may represent an appealing target for future therapeutic strategies aimed at combating stress-related disorders.

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Burston, James Justin. "Antipsychotic modulation of cannabinoid signaling in the CNS and behavioral correlates." Thesis, University of the West of England, Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522523.

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Banerjee, Navonil. "Temporal Organization of Behavioral States through Local Neuromodulation in C. elegans." eScholarship@UMMS, 2012. http://escholarship.umassmed.edu/gsbs_diss/892.

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Neuropeptide signaling play critical roles in maintaining distinct behavioral states and orchestrating transitions between them. However, elucidating the mechanisms underlying neuropeptide modulation of neural circuits in vivo remains a major challenge. The nematode Caenorhabditis elegans serves as an excellent model organism to study neuropeptide signaling mechanisms encoded in relatively simple neural circuits. We have used the C. elegans egg-laying circuit as a model to understand how neuropeptide signaling modifies circuit activity to generate opposing behavioral outcomes. C. elegans egg-laying behavior is composed of alternating cycles of two states – short bursts of egg deposition (active phases) and prolonged periods of quiescence (inactive phases). We have identified two neuropeptides (NLP-7 and FLP-11) that are locally released from a group of neurosecretory cells (uv1) and coordinate the temporal organization of egglaying by prolonging the duration of inactive phases. These neuropeptides regulate activity within the core circuit by inhibiting serotonergic transmission between its individual components (HSN motorneurons and Vm2 vulval muscles). This inhibition is achieved at least in part, by reducing synaptic vesicle abundance in the HSN synaptic regions. To identify potential downstream signaling components that mediate the actions of these neuropeptides, we have performed a forward genetic screen and have identified a strong candidate. In addition, we are trying to identify the receptor(s) of these neuropeptides by using a candidate gene approach. Together, we demonstrate that local neuropeptide signaling maintains the periodicity of distinct behavioral states by regulating serotonergic transmission in the core neural circuit.

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Banerjee, Navonil. "Temporal Organization of Behavioral States through Local Neuromodulation in C. elegans." eScholarship@UMMS, 2016. https://escholarship.umassmed.edu/gsbs_diss/892.

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Neuropeptide signaling play critical roles in maintaining distinct behavioral states and orchestrating transitions between them. However, elucidating the mechanisms underlying neuropeptide modulation of neural circuits in vivo remains a major challenge. The nematode Caenorhabditis elegans serves as an excellent model organism to study neuropeptide signaling mechanisms encoded in relatively simple neural circuits. We have used the C. elegans egg-laying circuit as a model to understand how neuropeptide signaling modifies circuit activity to generate opposing behavioral outcomes. C. elegans egg-laying behavior is composed of alternating cycles of two states – short bursts of egg deposition (active phases) and prolonged periods of quiescence (inactive phases). We have identified two neuropeptides (NLP-7 and FLP-11) that are locally released from a group of neurosecretory cells (uv1) and coordinate the temporal organization of egglaying by prolonging the duration of inactive phases. These neuropeptides regulate activity within the core circuit by inhibiting serotonergic transmission between its individual components (HSN motorneurons and Vm2 vulval muscles). This inhibition is achieved at least in part, by reducing synaptic vesicle abundance in the HSN synaptic regions. To identify potential downstream signaling components that mediate the actions of these neuropeptides, we have performed a forward genetic screen and have identified a strong candidate. In addition, we are trying to identify the receptor(s) of these neuropeptides by using a candidate gene approach. Together, we demonstrate that local neuropeptide signaling maintains the periodicity of distinct behavioral states by regulating serotonergic transmission in the core neural circuit.

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Huskey, Richard Wayne. "Does Signaling Theory Account for Aggressive Behavior in Video Games?" Thesis, University of California, Santa Barbara, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1555260.

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Signaling theory originated in evolutionary biology and explains the mechanisms behind the honest communication of information between organisms. Communication scholars are increasingly turning to signaling theory as a way to test evolutionary explanations for human behavior. The present study tests if receiver-dependent costly signals can be used to predict the moment of aggressive behavior in video game environments. High status (but not high trait aggression) male subjects were fastest to engage in combat against a low voice pitch male opponent - but only when subject skill was high. This result underscores the importance of video game skill as a variable of interest as well as the need for video games researchers to tease out when real-world behaviors map to video game contexts.

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Oakes, Mitchell Duane. "Uncovering Cannabinoid Signaling in C. elegans: A New Platform to Study the Effects of Medicinal Cannabis." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1532948536948823.

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Gibbons, Christopher M. "The referentiality of chimpanzee vocal signaling behavioral and acoustic analysis of food barks /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1173219994.

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Long, Jessica B. "The behavioral functions of stimuli signaling transitions across rich and lean schedules of reinforcement." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4444.

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Thesis (M.S.)--West Virginia University, 2005.
Title from document title page. Document formatted into pages; contains vi, 39 p. : ill. Includes abstract. Includes bibliographical references (p. 37-39).

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Books on the topic "Behavioral signaling"

1

Hoek, Jan B. Ethanol and intracellular signaling: From molecules to behavior. Bethesda, MD (6000 Executive Boulevard, Bethesda, 20892): U.S. Department of Health and Human Services, Public Health Service, National Institute of Health, National Institute on Alcohol Abuse and Alcoholism, 2000.

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Es'kov, Evgeniy. Biological effects of electromagnetic fields. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1229809.

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The monograph, based on the use of literary information and research materials of the author, attempts to systematize the influence of natural and anthropogenic electric fields on biological objects of different levels of complexity. The origin of cosmic and terrestrial magnetism is described and the influence of this factor on the physiological state, viability and development of plant and animal objects is analyzed. The biological effects of magnetic storms are investigated. The mechanisms of generation, perception and use of electric fields in signaling and spatial orientation of animals are analyzed. Much attention is paid to the analysis of specific reactions of animals to electromagnetic fields. The prospects of using electromagnetic fields to control the behavior of animals and direct influence on the growth processes of plant objects are considered. For a wide range of readers interested in the possibilities of controlling animal behavior and influencing plant growth.

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Zehavi, Amots. The handicap principle: A missing piece of Darwin's puzzle. New York: Oxford University Press, 1999.

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Zehavi, Amots. The handicap principle: A missing piece of Darwin's puzzle. New York: Oxford University Press, 1997.

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Fridlund, Alan J. The Behavioral Ecology View of Facial Displays, 25 Years Later. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0005.

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This chapter documents the twin origins of the behavioral ecology view (BECV) of human facial expressions, in (1) the empirical weakness and internal contradictions of the accounts proposed by basic emotion theory (BET) and particularly the neurocultural theory of Paul Ekman et al., and (2) newer understandings about the evolution of animal signaling and communication. BET conceives of our facial expressions as quasi-reflexes which are triggered by universal, modular emotion programs but require management in each culture lest they emerge unthrottled. Unlike BET, BECV regards our facial expressions as contingent signals of intent toward interactants within specific contexts of interaction, even when we are alone and our interactants are ourselves, objects, or implicit others. BECV’s functionalist, externalist view does not deny “emotion,” however it is defined, but does not require it to explain human facial displays.

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Brambilla, Riccardo, ed. Neuronal cell signaling and behavior. Frontiers Media SA, 2013. http://dx.doi.org/10.3389/978-2-88919-082-9.

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Arnold, Monica M., Lauren M. Burgeno, and Paul E. M. Phillips. Fast-Scan Cyclic Voltammetry in Behaving Animals. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0005.

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Gaining insight into the mechanisms by which neural transmission governs behavior remains a central goal of behavioral neuroscience. Multiple applications exist for monitoring neurotransmission during behavior, including fast-scan cyclic voltammetry (FSCV). This technique is an electrochemical detection method that can be used to monitor subsecond changes in concentrations of electroactive molecules such as neurotransmitters. In this technique, a triangular waveform voltage is applied to a carbon fiber electrode implanted into a selected brain region. During each waveform application, specific molecules in the vicinity of the electrode will undergo electrolysis and produce a current, which can be detected by the electrode. In order to monitor subsecond changes in neurotransmitter release, waveform application is repeated every 100 ms, yielding a 10 Hz sampling rate. This chapter describes the fundamental principles behind FSCV and the basic instrumentation required, using as an example system the detection of in vivo phasic dopamine changes in freely-moving animals over the course of long-term experiments. We explain step-by-step, how to construct and surgically implant a carbon fiber electrode that can readily detect phasic neurotransmitter fluctuations and that remains sensitive over multiple recordings across months. Also included are the basic steps for recording FSCV during behavioral experiments and how to process voltammetric data in which signaling is time-locked to behavioral events of interest. Together, information in this chapter provides a foundation of FSCV theory and practice that can be applied to the assembly of an FSCV system and execution of in vivo experiments.

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B, Hoek Jan, and National Institute on Alcohol Abuse and Alcoholism (U.S.), eds. Ethanol and intracellular signaling: From molecules to behavior. Bethesda, MD (6000 Executive Blvd., Bethesda 20892): U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, 2000.

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Ethanol and Intracellular Signaling: From Molecules to Behavior. Diane Pub Co, 2001.

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Cao, Zhiping. Chemical signaling in neural circuits that mediate sexual behaviors. 1994.

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Book chapters on the topic "Behavioral signaling"

1

Sobel, Joel. "Signaling Games." In Complex Social and Behavioral Systems, 251–68. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0368-0_481.

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Sorensen, Peter W. "Behavioral Analysis of Pheromones in Fish." In Pheromone Signaling, 293–305. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-619-1_22.

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Jang, Heeun, and Cornelia I. Bargmann. "Acute Behavioral Responses to Pheromones in C. elegans (Adult Behaviors: Attraction, Repulsion)." In Pheromone Signaling, 285–92. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-619-1_21.

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Kukkonen, Jyrki P. "Orexin/Hypocretin Signaling." In Behavioral Neuroscience of Orexin/Hypocretin, 17–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/7854_2016_49.

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Ron, Dorit, and Robert O. Messing. "Signaling Pathways Mediating Alcohol Effects." In Behavioral Neurobiology of Alcohol Addiction, 87–126. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-28720-6_161.

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Kvajo, Mirna, Heather McKellar, and Joseph A. Gogos. "Molecules, Signaling, and Schizophrenia." In Behavioral Neurobiology of Schizophrenia and Its Treatment, 629–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/7854_2010_41.

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Alger, Bradley E. "Endocannabinoid Signaling in Neural Plasticity." In Behavioral Neurobiology of the Endocannabinoid System, 141–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88955-7_6.

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Schaal, Benoist, Syrina Al Aïn, and Bruno Patris. "Testing Smell When It Is Really Vital: Behavioral Assays of Social Odors in the Neonatal Mouse." In Pheromone Signaling, 349–71. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-619-1_26.

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López-Giménez, Juan F., and Javier González-Maeso. "Hallucinogens and Serotonin 5-HT2A Receptor-Mediated Signaling Pathways." In Behavioral Neurobiology of Psychedelic Drugs, 45–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/7854_2017_478.

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Johnson, A. K., and G. L. Edwards. "The Neuroendocrinology of Thirst: Afferent Signaling and Mechanisms of Central Integration." In Behavioral Aspects of Neuroendocrinology, 149–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75837-9_7.

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Conference papers on the topic "Behavioral signaling"

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Borduin, Russell, Karthik Ramaswamy, Ashwin Mohan, Rex Cocroft, and Satish S. Nair. "Modeling the Rapid Transmission of Information Within a Social Group of Insects: Emergent Patterns in the Antipredator Signals." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2298.

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The study of group behavior in animals emerging from social interactions among individuals using agent based models has gained momentum in recent years. Although most of the individuals in a group of the treehopper Umbonia crassicornis do not have information about where the predator is, the signaling behavior of the group yields an emergent pattern that provides the defending adult with information about predator presence and location. Offspring signal synchronously to warn a defending parent of a predator attack. We develop a computational model of rapid signaler-receiver interactions in this group-living insect. We test the emergence of informative global patterns by providing interacting juvenile nymphs with limited locally available information with this agent based model. Known parameters such as size of the aggregation and spatial distribution are estimated from experimental recordings. Further, the model investigates the behavioral rules underlying group signaling patterns that reveal the predator’s location. We also show how variation in these behavioral rules can bring about variation in group signals, demonstrating the potential for natural selection to shape these rules.

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Mazumder, Mohiuddin, James Jaussi, Sitaraman Iyer, Fulvio Spagna, Zuoguo Wu, Beomtaek Lee, and Arvind Kumar. "An Accurate and Efficient Link Analysis Methodology for High Speed I/O Design." In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52279.

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This paper describes an accurate and efficient analysis methodology that enables circuit optimization directly guided by platform-level metric such as link eye margin. Prior to this work, such analysis was not feasible due to significant compute time required by complex circuit simulations. A new method of developing highly abstracted behavioral models of complex circuit blocks is a critical element of this analysis methodology. The method uses statistical signaling analysis and optimization capabilities coupled with behavioral modeling of I/O clocking, transmitter and receiver circuitry that are based on accurate circuit simulations. We also present measured data from products and test chips that show correlation between measured and modeled data within 10–15%. Finally, we describe how the methodology was used to optimize the design of a high speed serial link and achieve approximately 70% improvement in eye margins with limited design iterations.

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Crosby, Nathan D., Ling Dong, and Beth A. Winkelstein. "Transient Tensile Facet Capsular Ligament Loading Above the Mechanical Threshold to Induce Pain Also Regulates Spinal Neuronal Hyperexcitability." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80592.

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Traumatic neck injuries are a primary cause of chronic pain, with the cervical facet joint and its capsule being a common source of the pain. During these injuries, the facet capsular ligament undergoes excessive stretching that can initiate pain [1]. Behavioral sensitivity is produced as early as 1 day after facet capsule stretch, which suggests that the excitatory systems in the spinal cord are modulated by certain tissue loading conditions. In particular, the signaling protein PKCε has been implicated in glutamate release in inflammatory pain [2] and is increased in afferents after painful facet injury [3]. Also, neuronal hyperexcitability has been detected after painful, but not nonpainful, facet joint distraction [4]. Despite the involvement of spinal neuronal activation in pain, the time course of its development and its relationship to painful mechanical facet joint injury is unknown.

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Fields, Aaron J., Susan M. Millard, Jeannie F. Bailey, Dylan O’Carroll, Jeffrey C. Lotz, and Robert A. Nissenson. "Bone Biomechanical Behavior in Adult Mice is Regulated by Osteoblast Gi Signaling in a Sex- and Site-Specific Manner." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53773.

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Osteoporosis decreases bone strength owing to loss of bone mass and deterioration in bone microstructure. The maintenance of bone mass and microstructure depends, at least in part, on the signaling and function of osteoblasts. For example, Gi-coupled signaling by G-protein coupled receptors endogenous to osteoblasts has been shown to restrict cortical and trabecular bone formation in female mice [1,2]. This suggests that inhibiting Gi-coupled signaling in osteoblasts may be an effective strategy for the development of anabolic osteoporosis therapies. However, it remains unclear whether inhibiting Gi-coupled signaling improves bone biomechanical behavior. Thus, the objectives of this study were to: 1) quantify the effect of Gi-coupled signaling on bone strength and bone stiffness; and 2) determine the effects of this signaling mechanism on cortical and trabecular microstructure and on the relationship between mechanical behavior and microstructure.

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"Behavioural Modelling of Signalling Constituents." In Proceedings of the 31st European Safety and Reliability Conference. Singapore: Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_596-cd.

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Miskov-Zivanov, Natasa, Diana Marculescu, and James R. Faeder. "Dynamic behavior of cell signaling networks." In the 50th Annual Design Automation Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2463209.2488743.

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7

Fraser, Cameron. "Evolutions in Railway Signaling: A “New Age” of Control?" In 2009 Joint Rail Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/jrc2009-63027.

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The development of railroad signaling systems evolved with the need to provide interlocking between points and signals, and block working to keep trains a safe distance apart. Accordingly, the archetypal behavior of train control is summed up as providing (1) safe and efficient train movement by (2) the management of train routing and separation. This has been rudimentary since the advent of railway signaling and propagated in even the most contemporary of technologies today.

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Asada, H. Harry. "Reduced-Order Cue-Signal-Response Modeling for Angiogenic Cell Migration Control: A Principal Signal Approach." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4246.

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A cell’s behavior in response to stimuli is governed by a signaling network, called cue-signal-response. Endothelial Cells (ECs), for example, migrate towards the source of chemo-attractants by detecting cues (chemo-attractants and their concentration gradient), feeding them into an intra-cellular signaling network (coded internal state), and producing a response (migration). It is known that the cue-signal-response process is a nonlinear, dynamical system with high dimensionality and stochasticity. This paper presents a system dynamics approach to modeling the cue-signal-response process for the purpose of manipulating and guiding the cell behavior through feedback control. A Hammerstein type model is constructed by representing the entire process in two stages. One is the cue-to-signal process represented as a nonlinear feedforward map, and the other is the signal-to-response process as a stochastic linear dynamical system, which contains feedback loops and auto-regressive dynamics. Analysis of the signaling space based on Singular-Value Decomposition yields a set of reduced order synthetic signals, which are used as inputs to the dynamical system. A prediction-error method is used for identifying the model from experimental data, and an optimal system order is determined based on Akaike’s Information Criterion. The resultant low order model is capable of predicting the expected response to cues, and is directly usable for feedback control. The method is applied to an in vitro angiogenic process using microfluidic devices.

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Gong, Ze, and Yu Zhang. "Behavior Explanation as Intention Signaling in Human-Robot Teaming." In 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2018. http://dx.doi.org/10.1109/roman.2018.8525675.

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Mayalu, Michaëlle N., and H. Harry Asada. "Integrated Mechanistic-Empirical Modeling of Cellular Response Based on Intracellular Signaling Dynamics." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3806.

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A hybrid modeling framework integrating a highly specific mechanistic model with highly abstract empirical model is presented. With the growing interest in the scientific and medical community for identification of therapeutic targets in treatment of disease, it is necessary to develop predictive models that can describe cellular behavior in response to environmental cues. Intracellular signaling pathways form complex networks that regulate cellular response in both health and disease. Mechanistic (or white-box) models of biochemical networks are often unable to explain comprehensive cellular response due to lack of knowledge and/or intractable complexity (especially in events distal from the cell membrane). Empirical (or black-box) models may provide a less than accurate representation of cellular response due to data deficiency and/or loss of mechanistic detail. In the proposed framework, we use a mechanistic model to capture early signaling events and apply the resulting generated internal signals (along with external inputs) to a downstream empirical sub-model. The key construct in the approach is the treatment of a cell’s biochemical network as an encoder that creates a functional internal representation of external environmental cues. The signals derived from this representation are then used to inform downstream behaviors. Using this idea, we are able to create a comprehensive framework that describes important mechanisms with sufficient detail, while representing complex or unknown mechanisms in a more abstract form. The model is verified using published biological data describing T-Cells in immune response.

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Reports on the topic "Behavioral signaling"

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Baker, Malcolm, and Jeffrey Wurgler. Dividends as Reference Points: A Behavioral Signaling Approach. Cambridge, MA: National Bureau of Economic Research, July 2012. http://dx.doi.org/10.3386/w18242.

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Dubé, Jean-Pierre, Xueming Luo, and Zheng Fang. Self-Signaling and Prosocial Behavior: a Cause Marketing Mobile Field Experiment. Cambridge, MA: National Bureau of Economic Research, August 2015. http://dx.doi.org/10.3386/w21475.

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