Littérature scientifique sur le sujet « Quantitative Neuroscience »
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Articles de revues sur le sujet "Quantitative Neuroscience"
Höller, Yvonne. « Quantitative EEG in Cognitive Neuroscience ». Brain Sciences 11, no 4 (19 avril 2021) : 517. http://dx.doi.org/10.3390/brainsci11040517.
Texte intégralHu, Chenfei, et Gabriel Popescu. « Quantitative Phase Imaging (QPI) in Neuroscience ». IEEE Journal of Selected Topics in Quantum Electronics 25, no 1 (janvier 2019) : 1–9. http://dx.doi.org/10.1109/jstqe.2018.2869613.
Texte intégralMilton, John G. « Quantitative Neuroscience : From Chalk Board to Bedside ». Mathematical Modelling of Natural Phenomena 5, no 2 (2010) : 1–4. http://dx.doi.org/10.1051/mmnp/20105299.
Texte intégralWebster, Gregory D. « Evolutionary Theory in Cognitive Neuroscience : A 20-Year Quantitative Review of Publication Trends ». Evolutionary Psychology 5, no 3 (1 juillet 2007) : 147470490700500. http://dx.doi.org/10.1177/147470490700500304.
Texte intégralDuffus, Dwight, et Andrei Olifer. « Introductory Life Science Mathematics and Quantitative Neuroscience Courses ». CBE—Life Sciences Education 9, no 3 (septembre 2010) : 370–77. http://dx.doi.org/10.1187/cbe.10-03-0026.
Texte intégralField, Thomas A., Eric T. Beeson, Chad Luke, Michelle Ghoston et Nedeljko Golubovic. « Counselors' Neuroscience Conceptualizations of Depression ». Journal of Mental Health Counseling 41, no 3 (1 juillet 2019) : 260–79. http://dx.doi.org/10.17744/mehc.41.3.05.
Texte intégralBloomingdale, Peter, Tatiana Karelina, Murat Cirit, Sarah F. Muldoon, Justin Baker, William J. McCarty, Hugo Geerts et Sreeraj Macha. « Quantitative systems pharmacology in neuroscience : Novel methodologies and technologies ». CPT : Pharmacometrics & ; Systems Pharmacology 10, no 5 (29 mars 2021) : 412–19. http://dx.doi.org/10.1002/psp4.12607.
Texte intégralZinchuk, Vadim, et Olga Grossenbacher-Zinchuk. « Recent advances in quantitative colocalization analysis : Focus on neuroscience ». Progress in Histochemistry and Cytochemistry 44, no 3 (octobre 2009) : 125–72. http://dx.doi.org/10.1016/j.proghi.2009.03.001.
Texte intégralCofré, Rodrigo, Cesar Maldonado et Bruno Cessac. « Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics ». Entropy 22, no 11 (23 novembre 2020) : 1330. http://dx.doi.org/10.3390/e22111330.
Texte intégralCherniak, Christopher. « The Bounded Brain : Toward Quantitative Neuroanatomy ». Journal of Cognitive Neuroscience 2, no 1 (janvier 1990) : 58–68. http://dx.doi.org/10.1162/jocn.1990.2.1.58.
Texte intégralThèses sur le sujet "Quantitative Neuroscience"
Ganau, Mario. « Nanotechnology Applications in Quantitative Neuroscience : Proteomic Analysis of Malignant Gliomas ». Doctoral thesis, Università degli studi di Trieste, 2013. http://hdl.handle.net/10077/8575.
Texte intégralAbstract (English) The current limit of knowledge advancement in proteomic analysis of gliomas, the most common primary malignant brain tumors, is related to the high sensitivity required to detect specific biomarkers within few cells volumes. To address this problem we developed a quantitative approach to eventually enable precise, high throughput and low cost analysis of glial cells with potential capability of real-time pathological screening and subtyping of brain tumors. A device consisting in micro-fabricated wells capable to isolate and host living astrocytes was designed and functionalized. Then for the fabrication of a nanobiosensor, able to detect in small volumes the presence of specific biomarkers, ideally for multiplexing assays and meant to fit within the small dimensions of this microdevice, an approach consisting in DNA-directed-immobilization (DDI) of biotinylated antibodies (Abs) on a single stranded DNA (ssDNA) nanoarray, produced by Atomic Force Microscopy (AFM) nanografting, was carefully optimized. The proof of concept was realized with Abs specific for Glial Fibrillary Acidic Protein (GFAP), a biomarker which belongs to the family of intermediate filaments and is crucial in cell’s differentiation, within a platform ready for parallelization. Nanosized patches of thiol modified ssDNA were prepared by AFM-based nanografting inside a matrix of self assembled monolayers (SAM) of alkanethiol-modified gold surfaces. Subsequently a complementary DNA strand (cDNA) conjugated to streptavidin (STV) was allowed to covalently bind to the patch by sequence specific DNA hybridization. Finally the biotin binding sites of STV were exploited to immobilize biotinylated monoclonal GFAP Abs (already in use for ELISA assays) on the top of those nanopatches. The efficiency of those nano-immuno arrays was tested by successfully obtaining the immobilization of purified recombinant GFAP protein, down to a concentration of 4 nM, firstly in standard PBS then in multicells’ lysate obtained from U87 glial cultures. The immobilization was detected by means of AFM measuring step by step the increases in the height of the patches and excluding modification of the roughness of both the SAM and the nanopatches after incubation with the cells’ lysate through a signal to noise ratio analysis. Titration curves for a comparison of sensitivity between this technique and the conventional ELISA assays are provided, they indeed confirm that the sensitivity of our nanosensors is at least that of ELISA, with the advantage of the scalability of the device.
Abstract (Italiano) L’attuale limite di avanzamento dello stato dell’arte dell’analisi proteomica dei gliomi cerebrali, la classe istologica di tumori cerebrali più frequente ed aggressiva, è legato alla difficoltà di individuare specifici biomarkers in piccoli volumi cellulari. Per superare questo limite si è deciso di sviluppare un approccio nanoquantitativo che consenta un’analisi proteomica precisa, ad alta sensibilità e basso costo, degli astrociti tumorali, con potenzialità di screening in tempo reale e sottotipizzazione di tumori cerebrali. Previa fabbricazione e funzionalizzazione di micro pozzetti idonei ad ospitare cellule astrocitarie, ci si è dedicati alla realizzazione di biosensori in grado di riconoscere specifici biomarkers e di essere accoppiati ai micro pozzetti. Al fine di immobilizzare anticorpi specifici per proteine di interesse in ambito neuroncologico, è stato scelto un approccio basato sul nanografting con Microscopio a Forza Atomica (AFM) e sull’immobilizzazione diretta sul DNA di anticorpi (DDI). In particolare la prova concettuale è stata condotta con anticorpi specifici per la Glial Fibrillary Acidic Protein (GFAP), un marcatore della differenziazione astrocitaria appartenente alla famiglia dei filamenti intermedi intracellulari, su una piattaforma atta ad una successiva parallelizzazione. I nanocostrutti responsabili del riconoscimento della proteina d’interesse, sono stati realizzati partendo da molecole di DNA a singola elica (ssDNA) graftate in una matrice di monostrati autoassemblati (SAM) di superfici d’oro alchiltiolo modificato. Al fine di sfruttare la capacità della streptavidina (STV) di legarsi ad anticorpi biotinilati è stata successivamente indotta l’ibridazione di un filamento di DNA complementare (cDNA) a quello precedentemente immobilizzato sulla superficie nanoassemblata che presentasse anche una coda di STV. I siti di legame per la biotina intrinseci al tetramero di STV sono quindi stati sfruttati per immobilizzare sulla superficie dei nanocostrutti degli anticorpi monoclonali biotinilati specifici per GFAP (già in uso per i protocolli ELISA). L’efficienza dei nano-immuno costrutti così ottenuti è stata testata ottenendo l’immobilizzazione di GFAP ricombinante anche a basse concentrazioni (fino a 4nM), sia in presenza di standard PBS, sia in presenza di un lisato multicellulare ottenuto da colture gliali di cellule U87. L’immobilizzazione di GFAP è stata confermata dall’incremento in altezza dei nanocostrutti misurato all’AFM escludendo modificazioni del rapporto segnale/rumore sia del SAM che dei nanocostrutti prima e dopo aggiunta di lisato multicellulare. Il limite di sensibilità del prototipo così ottenuto è stato confrontato con quello raggiungibile con protocolli standard ELISA, mostrando una sensibilità almeno comparabile all’ELISA a fronte di un maggiore potenziale diagnostico legato alla sua scalabilità.
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Yan, Haiyan. « Quantitative EEG changes in excessive daytime sleepiness ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0017/MQ57169.pdf.
Texte intégralColetta, Annette Lisa. « A Quantitative Assessment of Empathy After an Art Prime with Counseling Students ». ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6717.
Texte intégralMunoz, Maniega Susana. « Diffusion tensor MRI of human ischaemic stroke : quantitative measurements, acquisition and registration issues ». Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/1955.
Texte intégralSegerdahl, Andrew Reilly. « Investigation of the neural correlates of ongoing pain states using quantitative perfusion arterial spin labelling ». Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:e55cc4a1-cbd3-477d-a7c2-0935349914f1.
Texte intégralLancione, Marta. « Structural and functional neuroimaging using quantitative susceptibility mapping and ultra-high field magnetic resonance imaging ». Thesis, IMT Alti Studi Lucca, 2021. http://e-theses.imtlucca.it/339/1/Lancione_phdthesis.pdf.
Texte intégralMasri, Rania. « Neurons of the primate retina : A qualitative and quantitative analysis ». Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/21165.
Texte intégralTziortzi, Andri. « Quantitative dopamine imaging in humans using magnetic resonance and positron emission tomography ». Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:26b8b4c2-0237-4c40-8c84-9ae818a0dabf.
Texte intégralHengenius, James B. « Quantitative modeling of spatiotemporal systems| Simulation of biological systems and analysis of error metric effects on model fitting ». Thesis, Purdue University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3687049.
Texte intégralUnderstanding the biophysical processes underlying biological and biotechnological processes is a prerequisite for therapeutic treatments and technological innovation. With the exponential growth of computational processing speed, experimental findings in these fields have been complemented by dynamic simulations of developmental signaling and genetic interactions. Models provide means to evaluate "emergent" properties of systems sometimes inaccessible by reductionist approaches, making them test beds for biological inference and technological refinement.
The complexity and interconnectedness of biological processes pose special challenges to modelers; biological models typically possess a large number of unknown parameters relative to their counterparts in other physical sciences. Estimating these parameter values requires iterative testing of parameter values to find values that produce low error between model and data. This is a task whose length grows exponentially with the number of unknown parameters. Many biological systems require spatial representation (i.e., they are not well-mixed systems and change over space and time). Adding spatial dimensions complicates parameter estimation by increasing computational time for each model evaluation. Defining error for model-data comparison is also complicated on spatial domains. Different metrics compare different features of data and simulation, and the desired features are dependent on the underlying research question.
This dissertation documents the modeling, parameter estimation, and simulation of two spatiotemporal modeling studies. Each study addresses an unanswered research question in the respective experimental system. The former is a 3D model of a nanoscale amperometric glucose biosensor; the model was used to optimize the sensor's design for improved sensitivity to glucose. The latter is a 3D model of the developmental gap gene system that helps establish the bodyplan of Drosophila melanogaster; I wished to determine if the embryo's geometry alone was capable of accounting for observed spatial distributions of gap gene products and to infer feasible genetic regulatory networks (GRNs) via parameter estimation of the GRN interaction terms. Simulation of the biosensor successfully predicted an optimal electrode density on the biosensor surface, allowing us to fabricate improved biosensors. Simulation of the gap gene system on 1D and 3D embryonic demonstrated that geometric effects were insufficient to produce observed distributions when simulated with previously reported GRNs. Noting the effects of the error definition on the outcome of parameter estimation, I conclude with a characterization of assorted error definitions (objective functions), describe data characteristics to which they are sensitive, and end with a suggested procedure for objective function selection. Choice of objective function is important in parameter estimation of spatiotemporal system models in varied biological and biotechnological disciplines.
Mumuni, Abdul Nashirudeen. « Investigation of brain tissue water NMR response by optimised quantitative single-voxel proton magnetic resonance spectroscopy ». Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4717/.
Texte intégralLivres sur le sujet "Quantitative Neuroscience"
Pardalos, P. M., J. C. Sackellares, P. R. Carney et L. D. Iasemidis, dir. Quantitative Neuroscience. Boston, MA : Springer US, 2004. http://dx.doi.org/10.1007/978-1-4613-0225-4.
Texte intégralEllis, Carson Richard, Daube-Witherspoon Margaret E et Herscovitch Peter, dir. Quantitative functional brain imaging with positron emission tomography. San Diego, Calif : Academic Press, 1998.
Trouver le texte intégralTranquillo, Joseph Vincent. Quantitative neurophysiology. San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2008.
Trouver le texte intégralPlonsey, Robert. Bioelectricity : A Quantitative Approach. Boston, MA : Springer US, 2000.
Trouver le texte intégralHabib, Zaidi, dir. Quantitative analysis of nuclear medicine images. New York : Springer, 2005.
Trouver le texte intégralEvans, Stephen M., Ann Marie Janson et Jens Randel Nyengaard. Quantitative Methods in Neuroscience : A Neuroanatomical Approach. Oxford University Press, 2004.
Trouver le texte intégral(Editor), Stephen M. Evans, Ann Marie Janson (Editor) et Jens Randel Nyengaard (Editor), dir. Quantitative Methods in Neuroscience : A Neuroanatomical Approach. Oxford University Press, USA, 2004.
Trouver le texte intégralQuantitative neuroscience : Models, algorithms, diagnostics, and therapeutic applications. Boston : Kluwer Academic, 2004.
Trouver le texte intégralPardalos, P. M. Quantitative Neuroscience : Models, Algorithms, Diagnostics, and Therapeutic Applications. Springer, 2011.
Trouver le texte intégralPardalos, P. M. Quantitative Neuroscience : Models, Algorithms, Diagnostics, and Therapeutic Applications. Springer London, Limited, 2013.
Trouver le texte intégralChapitres de livres sur le sujet "Quantitative Neuroscience"
Thomassen, Arnold J. W. M., et Hein J. C. M. Tibosch. « A Quantitative Model of Graphic Production ». Dans Tutorials in Motor Neuroscience, 269–81. Dordrecht : Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3626-6_22.
Texte intégralZornoza, Teodoro, María José Cano-Cebrián, Ana Polache et Luis Granero. « Quantitative In Vivo Microdialysis in Pharmacokinetic Studies ». Dans Microdialysis Techniques in Neuroscience, 103–20. Totowa, NJ : Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-173-8_6.
Texte intégralMizusawa, Hidehiro. « Prism Adaptation Test (PAT) : A Practical and Quantitative Method to Evaluate Cerebellar Function ». Dans Contemporary Clinical Neuroscience, 445–56. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75817-2_22.
Texte intégralAsherson, Philip, et Hugh Gurling. « Quantitative and Molecular Genetics of ADHD ». Dans Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder and Its Treatment, 239–72. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/7854_2011_155.
Texte intégralMilošević, Nebojša. « The Morphology of the Brain Neurons : Box-Counting Method in Quantitative Analysis of 2D Image ». Dans Springer Series in Computational Neuroscience, 109–26. New York, NY : Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3995-4_7.
Texte intégralHaralanov, Svetlozar, Evelina Haralanova, Emil Milushev et Diana Shkodrova. « Locomotor Movement-Pattern Analysis as an Individualized Objective and Quantitative Approach in Psychiatry and Psychopharmacology : Clinical and Theoretical Implications ». Dans Psychiatry and Neuroscience Update, 387–416. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95360-1_32.
Texte intégralWang, Yue-Ting, Sujeewa C. Piyankarage et Gregory R. J. Thatcher. « Quantitative Profiling of Reversible Cysteome Modification Under Nitrosative Stress ». Dans Analysis of Post-Translational Modifications and Proteolysis in Neuroscience, 55–72. New York, NY : Springer New York, 2016. http://dx.doi.org/10.1007/7657_2015_88.
Texte intégralBiercewicz, Konrad, et Mariusz Borawski. « Examining the Degree of Engagement of a Participant in Economic Games Using Cognitive Neuroscience Techniques ». Dans Experimental and Quantitative Methods in Contemporary Economics, 201–16. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30251-1_15.
Texte intégralCottrell, Marie, et Patrick Rousset. « The Kohonen algorithm : A powerful tool for analysing and representing multidimensional quantitative and qualitative data ». Dans Biological and Artificial Computation : From Neuroscience to Technology, 861–71. Berlin, Heidelberg : Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0032546.
Texte intégralKager, Klara. « Language Aptitude in Relation to Handedness, Hemispheric Dominance, Cognitive Learning Strategies and Non-verbal IQ : A Combined Quantitative and Qualitative Study ». Dans Exploring Language Aptitude : Views from Psychology, the Language Sciences, and Cognitive Neuroscience, 167–93. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91917-1_9.
Texte intégralActes de conférences sur le sujet "Quantitative Neuroscience"
Saha Roy, Tiasha, Jesse Breedlove, Ghislain St-Yves, Kendrick Kay et Thomas Naselaris. « Quantitative comparison of imagery and perception ». Dans 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA : Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1310-0.
Texte intégralThorburn, Craig, Naomi Feldman et Thomas Schatz. « A quantitative model of the language familiarity effect in infancy ». Dans 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA : Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1353-0.
Texte intégralRajalingham, Rishi, Hyodong Lee et James J. DiCarlo. « Selective behavioral deficits from focal inactivation of primate inferior temporal (IT) cortex : a new quantitative constraint for models of core object recognition ». Dans 2018 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA : Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1056-0.
Texte intégralKlimenkov, Igor, Nikolai Sudakov, Mikhail Pastukhov, Mikhail Svinov et Nikolai Kositsyn. « QUANTITATIVE INDICATORS OF STIMULUSDEPENDENT APOPTOSIS AND PROLIFERATION OF CELLS IN THE OLFACTORY EPITHELIUM IN FISH ». Dans XIV International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2018. http://dx.doi.org/10.29003/m186.sudak.ns2018-14/249-250.
Texte intégralHarahap, Iskandar Azmy, Abdullah Rasyid, et Masteria Yunovilsa Putra. « Estimation of quantitative risk assessment of dietary exposure to lead (Pb) from sea cucumbers in Indonesia ». Dans THE FIRST INTERNATIONAL CONFERENCE ON NEUROSCIENCE AND LEARNING TECHNOLOGY (ICONSATIN 2021). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0118424.
Texte intégralVasilyeva, Valentina, et Nina Shumeyko. « QUANTITATIVE CHANGES IN THE FIBROUS STRUCTURES OF THE VISUAL AND MOTOR AREAS OF THE CEREBRAL CORTEX OF CHILDREN FROM BIRTH TO 7 YEARS ». Dans XVIII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2022. http://dx.doi.org/10.29003/m2705.sudak.ns2022-18/87-88.
Texte intégralM. Bahgat, Mohamed, Ashraf Elsafty et Ashraf Shaarawy. « Validating the Impact of FIRST as a New Learner Experience Framework for Teachers Professional Development ». Dans International Conference on Education. The International Institute of Knowledge Management, 2020. http://dx.doi.org/10.17501/24246700.2020.6204.
Texte intégralDaube, Christoph, Bruno Giordano, Phillippe Schyns et Robin Ince. « Quantitatively comparing predictive models with the Partial Information Decomposition ». Dans 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA : Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1142-0.
Texte intégralRapports d'organisations sur le sujet "Quantitative Neuroscience"
Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo et Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets : The Dawn of the Age of Camelot. [б. в.], novembre 2018. http://dx.doi.org/10.31812/123456789/2648.
Texte intégralBurnett, Cathy. Scoping the field of literacy research : how might a range of research be valuable to primary teachers ? Sheffield Hallam University, 2022. http://dx.doi.org/10.7190/shu-working-papers/2201.
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