Dissertations / Theses on the topic 'Cortex'
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Esmaeili, Vahid. "Neuronal correlates of tactile working memory in rat barrel cortex and prefrontal cortex." Doctoral thesis, SISSA, 2014. http://hdl.handle.net/20.500.11767/3869.
Full textRibenis, Aksels. "Epilepsy surgery around language cortex." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-98318.
Full textRönnqvist, Oskar. "Pekskärmsanvändargränssnittsmodul till ARM Cortex-M3." Thesis, KTH, Maskinkonstruktion (Inst.), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-40281.
Full textAbstractThis report investigates how a touch sensitive user interface can be implemented on Syntronic AB’s hardware and software platform based on an ARM Cortex-M3 microcontroller.A touch sensitive user interface consists of two systems, one touch sensitive system to detect and position user input and one display to present a graphical user interface.The first part of the report describes available touch and display technologies. The purpose is to deepen the knowledge about the different technologies and their advantages and disadvantages. This knowledge is then used to evaluate the technologies in collaboration with Syntronic AB based on their needs. The evaluation leads to a choice of technology both for the touch sensitive system and display technology. Hardware corresponding to the technology choices is ordered and implemented.The implementation consists of both software that is strongly connected to the hardware to handle the communication with the touch panel and display and API software to enable easier interfacing to the hardware.Both hard- and software are documented to describe the system structure. This documentation can also be used as a software manual to ease further development or implementation.The result of the implementation is a touch panel and a display with a simple GUI. The implementation clearly shows how a touch sensitive interface can be implemented on the platform and provides software that is reusable.
Kleppe, Ingo Christian. "Synaptic variability in the cortex." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619941.
Full textThompson, P. D. "Motor cortex stimulation in man." Thesis, King's College London (University of London), 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261197.
Full textJánossy, Andrea. "Régulation cholinergique du cortex surrénal." Lyon 1, 2001. http://www.theses.fr/2001LYO1T014.
Full textDuret, Margaux. "Organisation spatiale et temporelle de l'activité neuronale du cortex moteur chez le singe macaque dans une tâche d'atteinte et de saisie manuelle." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0408/document.
Full textThe motor cortex follows a somatotopic organization in which the different body parts are controlled by distinct cortical zones. It has also been proposed that different spatial zones of this cortical area could be involed in distinct processes of motor preparation. Following this latter hypothesis, the objective of this thesis is to study the spatio-temporal modulations of motor cortex activity during movement preparation and execution. Three monkeys have been trained in an instructed delayed reach-to-grasp task. In each animal, a multielectrode Utah array was chronically implanted in the motor cortex to explore the dynamic modulations of neural activity during task performance. In a first study, we demonstrated that the modulations of neural activity related to distinct processes of motor preparation occur at different cortical locations. These locations are activated sequentially during motor preparation through alternating phases of stationary processing and dynamic propagation. In a second study, we analysed the neural interactions using a measure of spike count correlation (rsc) between pair of neurons. We reported 3 main results. Correlations are higher during movement preparation than during execution. They decrease with the distance between neurons. Finally, they are higher bewteen putative interneurons than bewteen putative pyramidal neurones. All these observations are discussed in relation to several models of the spatial organization the motor cortex
Andres, Michael. "Number and finger interactions : from the parietal to the motor cortex / Interactions entre les nombres et les doigts : du cortex pariétal au cortex moteur." Université catholique de Louvain, 2006. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-03192006-125748/.
Full textNadji, Al-Husein, and Hgi Haval Sarbast. "Bearbetningstid och CPU-användning i Snort IPS : En jämförelse mellan ARM Cortex-A53 och Cortex-A7." Thesis, Tekniska Högskolan, Jönköping University, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-50899.
Full textThe purpose of this study is to examine how the processing time of the Snort intrusion prevention system varies on two different processors; ARM Cortex-A53 and CortexA7. CPU usage was also examined to check if processing time depends on how much CPU Snort uses. This study will provide knowledge about how important a processor is for Snort to be able to perform well in terms of processing time and CPU usage. This knowledge will help choosing between Cortex-A53 and Cortex-A7 when implementing Snort IPS. To achieve the purpose of the study a literature search has been done to design an experimental environment. Snort can be classified as CPU-bound, which means that the system is dependent on a fast processor. In this context, a fast processor means that Snort is given enough time to process the amount of traffic it receives, otherwise the traffic can pass through without it being inspected, which can be harmful to the device that is protected by Snort. The results of the study show that the processing time in Snort on Cortex-A53 and Cortex-A7 differs and an obvious difference in CPU usage between the processors is shown. The study also presents the connection between processing time and CPU usage for Snort. In conclusion, ARM Cortex-A53 has better performance when using Snort IPS in terms of processing time and CPU usage, Cortex-A53 has 10 seconds less processing time and uses 2,87 times less CPU.
Chavez, Candice Monique. "Top-down modulation by medial prefrontal cortex of basal forebrain activation of auditory cortex during learning." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3053.
Full textSalbreux, Guillaume. "Modélisation des instabilités du cortex d'actine." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2008. http://tel.archives-ouvertes.fr/tel-00382577.
Full textFarooqui, Ausaf Ahmed. "Fronto-parietal cortex in sequential behaviour." Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/243944.
Full textSale, Martin V. "Motor cortex excitability in Parkinson's disease /." Adelaide, 1995. http://web4.library.adelaide.edu.au/theses/09SB/09sbs163.pdf.
Full textFrey, Stephen. "On the orbitofrontal cortex and encoding." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=19464.
Full textSchluter, Nathaniel D. "Human premotor cortex : imaging and interference." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284344.
Full textMrsic-Flogel, Thomas D. "Development of the ferret auditory cortex." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249548.
Full textHardingham, Neil Robert. "Synaptic connections in rat visual cortex." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325298.
Full textFotheringhame, David K. "Temporal coding in primary visual cortex." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339357.
Full textArthurs, Owen John. "Neurovascular coupling in human somatosensory cortex." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620402.
Full textKillian, Nathaniel J. "Bioelectrical dynamics of the entorhinal cortex." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52148.
Full textStensola, Tor. "Population codes in medial entorhinal cortex." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for nevromedisin, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25419.
Full textCurrent systems neuroscience has unprecedented momentum, in terms of both technological and conceptual development. It is crucial to study systems mechanisms and their associated functions with behavior in mind. Hippocampal and parahippocampal cortices has proved a highly suitable experimental system because the high level functions that are performed here, including episodic memory formation, are accessible through the clear readout of spatial behavior. Grid cells in medial entorhinal cortex (MEC) have been proposed to account for the spatial selectivity in downstream hippocampal place cells. Until now, however, entorhinal grid cells have only been studied on single cell– or small local ensemble level. The main reason for population studies lagging behind that of hippocampus is the technical difficulties associated with entorhinal implantation and recording. Here we have overcome some of the main technical hurdles, and recorded unprecedented number of cells from distinct functional classes in MEC. We show in Paper 1 that the entorhinal grid map is organized into sub-maps–or modules–that contain grid cells sharing numerous features including spatial pattern scale, orientation, deformation and temporal modulation. We also demonstrate that grid modules in the same system can operate independently on the same input, raising the possibility that hippocampal capacity for encoding distinct spatial representations is enabled by the grid input. We further show in Paper 2 that also head direction cells in entorhinal cortex distribute according to a functional topography along the dorsoventral axis. The head direction system, however, was not modular in contrast to the grid system. Finally, Paper 3 details a common grid anchoring strategy shared across animals and environments. The grid pattern displayed a striking tendency to align to the cardinal axes of the environment, but systematically offset 7.5°. Through simulations, we show that this constitutes an optimal orientation of the grid to maximally decorrelate population encoding of environment border segments, providing a possible link to border-selective cells in the mechanisms that embeds internal representation of space into external frames of reference. These findings have implications for our understanding of entorhinal and hippocampal computations and add several new venues for further investigation.
Rahman, Shbana. "The cerebellar cortex & motor learning." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248049.
Full textMillar, Laurie. "The cerebellar cortex and motor learning." Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415195.
Full textMay, Patrick J. C. "Memory traces in human auditory cortex." Thesis, King's College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341058.
Full textVander, Weele Caitlin Miya. "Dopaminergic modulation of prefrontal cortex subpopulations." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120628.
Full textCataloged from PDF version of thesis. Page 176 blank.
Includes bibliographical references (pages 159-175).
Despite abundant evidence that dopamine modulates medial prefrontal cortex (mPFC) activity to mediate diverse behavioral functions, the precise circuit computations remain elusive. One potentially unifying theoretical model by which dopamine can modulate functions from working memory to schizophrenia is that dopamine serves to increase the signal-to-noise ratio in mPFC neurons, where neuronal activity conveying sensory information (signal) are amplified relative to spontaneous firing (noise). To connect theory to biology, we lack direct evidence for dopaminergic modulation of signal-to-noise in neuronal firing patterns in vivo and a mechanistic explanation of how such computations would be transmitted downstream to instruct specific behavioral functions. Here, we demonstrate that dopamine increases signal-to-noise ratio in mPFC neurons projecting to the dorsal periaqueductal gray (dPAG) during the processing of an aversive stimulus. First, using electrochemical approaches, we reveal the precise time course of tail pinch-evoked dopamine release in the mPFC. Second, we show that dopamine signaling in the mPFC biases behavioral responses to punishment-predictive stimuli, rather than reward-predictive cues. Third, in contrast to the well-characterized mPFC-NAc projection, we show that activation of mPFC-dPAG neurons is sufficient to drive place avoidance and defensive behaviors. Fourth, to determine the natural dynamics of individual mPFC neurons, we performed single-cell projection-defined microendoscopic calcium imaging to reveal a robust preferential excitation of mPFC-dPAG, but not mPFC-NAc, neurons to aversive stimuli. Finally, photostimulation of VTA dopamine terminals in the mPFC revealed an increase in signal-to-noise ratio in mPFC-dPAG neuronal activity during the processing of aversive, but not rewarding stimuli. Together, these data unveil the utility of dopamine in the mPFC to effectively filter sensory information in a valence-specific manner.
by Caitlin Miya Vander Weele.
Ph. D. in Neuroscience
Huang, Ying-Zu. "Theta burst stimulation of human cortex." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445651/.
Full textHindley, Emma Logan. "The functions of the retrosplenial cortex." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/62777/.
Full textBeeren, L. K. "Probing network dynamics in barrel cortex." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1348307/.
Full textBenoit, R. G. "Functional specialisation within rostral prefrontal cortex." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/623668/.
Full textPereira, Jacinto José Fonseca. "Computational modeling of prefrontal cortex circuits." Doctoral thesis, Universidade Nova de Lisboa. Instituto de Tecnologia Química e Biológica, 2014. http://hdl.handle.net/10362/12080.
Full textThe most outstanding feature of the human brain is its ability to perform highly complex cognitive tasks and one key region of the brain involved in these elaborated tasks is the prefrontal cortex. However, little is known about the basic neuronal processes that sustain these capacities. This dissertation describes the computational study of the biophysical properties of neurons in the prefrontal cortex that underlie complex cognitive processes with special emphasis in working memory, the ability to keep information online in the brain for a short period of time while processing incoming external stimuli.(...)
Vernon, Richard J. W. "Shape processing across lateral occipital cortex." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/16777/.
Full textLieleg, Oliver. "Model systems of the actin cortex." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/672641/672641.pdf.
Full textCholfin, Jeremy A. "Genetic regulation of prefrontal cortex development." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3251942.
Full textNauhaus, Ian Michael. "Functional connectivity in primary visual cortex." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1692099811&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Full textPeelen, Marius Vincent. "Body selectivity in human visual cortex." Thesis, Bangor University, 2006. https://research.bangor.ac.uk/portal/en/theses/body-selectivity-in-human-visual-cortex(4091f96c-dee2-42ec-9a32-c0a8cf17b288).html.
Full textVolek, Lukáš. "Vývojová deska s ARM Cortex M4." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220344.
Full textGloveli, Tengis. "Die funktionelle Bedeutung von Projektionszellen des medialen entorhinalen Cortex in der Interaktion zwischen entorhinalem Cortex und Hippocampus." Doctoral thesis, [S.l.] : [s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=965714241.
Full textCacciamani, Laura, Erica Wager, Mary A. Peterson, and Paige E. Scalf. "Age-Related Changes in Perirhinal Cortex Sensitivity to Configuration and Part Familiarity and Connectivity to Visual Cortex." FRONTIERS MEDIA SA, 2017. http://hdl.handle.net/10150/625802.
Full textRothé, Marie. "Activités spécifiques du cortex cingulaire antérieur et du cortex préfrontal dorsolatéral et interactions lors de l'adaptation des comportements." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00710536.
Full textReyns, Nicolas. "ROLE DU CORTEX MOTEUR DANS LA MODULATION DES AFFERENCES SOMESTHESIQUES. MODELE DE LA STIMULATION ELECTRIQUE DU CORTEX MOTEUR." Phd thesis, Université du Droit et de la Santé - Lille II, 2008. http://tel.archives-ouvertes.fr/tel-00440877.
Full textReyns, Nicolas. "Rôle du cortex moteur dans la modulation des afférences somesthésiques : modèle de la stimulation électrique du cortex moteur." Lille 2, 2008. http://www.theses.fr/2008LIL2S022.
Full textRothé, Marie. "Activités spécifiques du cortex cingulaire antérieur et du cortex préfrontal dorsolatéral et interactions lors de l’adaptation des comportements." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10268/document.
Full textActing optimally in uncertain environments requires evaluating costs and benefits of choosing each alternative. It also requires to flexibly regulate between exploration for and exploitation of resources. One current hypothesis is that the anterior cingulate cortex (ACC), involved in action valuation, and dorsolateral prefrontal cortex (dlPFC), involved in cognitive control, interact to elaborate an optimal regulation of behaviour. Studies achieved during this thesis allowed to precise the role of ACC in the detection and valuation of action outcomes as well as to describe the interactions with dlPFC in a cognitive control loop. Thanks to neurophysiological recordings in behaving monkey our work give new clues on the sequential activation of ACC and dlPFC during adaptation. The analyses of local field potentials allowed us to suggest hypotheses on the underlying oscillatory mechanisms, in particular on low frequency communications between ACC and dlPFC, and their modulation during exploration and exploitation
Fernandes, Ninette M. "The Detection of Prefrontal Cortex Development into Early Adulthood." Marietta College / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=marietta1164924291.
Full textMosley, Alycia. "Chromosomal aneuploidy in the developing mammalian cortex." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3398262.
Full textTitle from first page of PDF file (viewed May 6, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
Mazzetti, Caterina. "A mathematical model of the motor cortex." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/15002/.
Full textEhninger, Dan-Achim. "Zelluläre Neogenese im adulten murinen cerebralen Cortex." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970185723.
Full textBender, Vanessa Anne. "Cannabinoid-dependent plasticity in rodent somatosensory cortex." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3221443.
Full textTitle from first page of PDF file (viewed September 18, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
Ingvarsson, Thomas, Henrik Lindström, and Christoffer Lind. "Portning till ARM Cortex M3 och prestandajämförelse." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4624.
Full textThe Anybus CompactCom modules are today using the Anybus NP30 processor. These modules are used for communication between industrial machines and larger network protocols. The communication loads on these systems are increasing every day and the limiting factor for the system is the processor.HMS, the company that develops the Anybus CompactCom, has shown interest for a benchmark test between the old processor and a new processor, ARM Cortex-M3. This project includes that benchmark. To be able to get results that reflect reality a test environment was created to simulate Anybus CompactCom conditions. This test environment was achieved by porting HMS operating system to ARM Cortex-M3 and using it combined with a simulated load. The load consists of a number of processes and Ethernet traffic.The results of the benchmark show that the two processors have different strengths. ARM Cortex-M3 is faster at calculating functions while Anybus NP30 has better support for both Ethernet and external memory.
Anybus NP30 är den processor som används i Anybus CompactCom moduler. Modulerna används till kommunikation mellan industrimaskiner och större nätverksprotokoll. Hastighetsstandarden för denna slags kommunikation precis som för all annan kommunikation ökar ständigt och för inbyggda system med tunga nätverksprotokoll är det processorn som begränsar.HMS, företaget som utvecklar Anybus CompactCom, har visat intresse för en prestanda-jämförelse med en ny processor, ARM Cortex-M3. Projektet innefattar denna jämförelse. För att kunna ge en relevant bild av jämförelsen har den gjorts i en testmiljö som ska återspegla den som Anybus CompactCom modulerna arbetar i. Denna testmiljö har uppnåtts genom att HMS operativsystem har portats till ARM Cortex-M3 och använts tillsammans med en last. Lasten består av ett antal processer och Ethernet-trafik.Resultatet av jämförelsen visar att ARM Cortex-M3 och Anybus NP30 har olika styrkor. ARM Cortex-M3 är snabbare på beräkningar, medan fördelar med Anybus NP30 är bättre nätverkshantering och bättre stöd för externt minne.
Bedwell, S. A. "The connectivity of the mammalian prefrontal cortex." Thesis, Nottingham Trent University, 2015. http://irep.ntu.ac.uk/id/eprint/28042/.
Full textKrug, Kristine. "Ordering geniculate input into primary visual cortex." Thesis, University of Oxford, 1997. https://ora.ox.ac.uk/objects/uuid:b342ffae-4a31-4171-94a6-83cb516e83fe.
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