Auswahl der wissenschaftlichen Literatur zum Thema „Brain encoding“
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Zeitschriftenartikel zum Thema "Brain encoding"
Heinze, S., G. Sartory, B. W. Mueller, M. Forsting und M. Jueptner. „Brain activation during verbal encoding“. Schizophrenia Research 60, Nr. 1 (März 2003): 220. http://dx.doi.org/10.1016/s0920-9964(03)81186-6.
Der volle Inhalt der QuelleDuss, Simone B., Thomas P. Reber, Jürgen Hänggi, Simon Schwab, Roland Wiest, René M. Müri, Peter Brugger, Klemens Gutbrod und Katharina Henke. „Unconscious relational encoding depends on hippocampus“. Brain 137, Nr. 12 (27.09.2014): 3355–70. http://dx.doi.org/10.1093/brain/awu270.
Der volle Inhalt der QuelleHenin, Simon, Anita Shankar, Helen Borges, Adeen Flinker, Werner Doyle, Daniel Friedman, Orrin Devinsky, György Buzsáki und Anli Liu. „Spatiotemporal dynamics between interictal epileptiform discharges and ripples during associative memory processing“. Brain 144, Nr. 5 (23.04.2021): 1590–602. http://dx.doi.org/10.1093/brain/awab044.
Der volle Inhalt der QuelleFazio, P., A. Cantagallo, L. Craighero, A. D'Ausilio, A. C. Roy, T. Pozzo, F. Calzolari, E. Granieri und L. Fadiga. „Encoding of human action in Broca's area“. Brain 132, Nr. 7 (14.05.2009): 1980–88. http://dx.doi.org/10.1093/brain/awp118.
Der volle Inhalt der QuelleStaurenghi, Erica, Gabriella Testa, Valerio Leoni, Rebecca Cecci, Lucrezia Floro, Serena Giannelli, Eugenio Barone et al. „Altered Brain Cholesterol Machinery in a Down Syndrome Mouse Model: A Possible Common Feature with Alzheimer’s Disease“. Antioxidants 13, Nr. 4 (03.04.2024): 435. http://dx.doi.org/10.3390/antiox13040435.
Der volle Inhalt der QuelleRudenga, K. J., R. Sinha und D. M. Small. „Stress impacts brain encoding of food“. Appetite 52, Nr. 3 (Juni 2009): 855. http://dx.doi.org/10.1016/j.appet.2009.04.167.
Der volle Inhalt der QuelleTurella, Luca, Raffaella Rumiati und Angelika Lingnau. „Hierarchical Action Encoding Within the Human Brain“. Cerebral Cortex 30, Nr. 5 (14.01.2020): 2924–38. http://dx.doi.org/10.1093/cercor/bhz284.
Der volle Inhalt der QuelleMiller, Michael B., Alan Kingstone und Michael S. Gazzaniga. „Hemispheric Encoding Asymmetry is More Apparent Than Real“. Journal of Cognitive Neuroscience 14, Nr. 5 (01.07.2002): 702–8. http://dx.doi.org/10.1162/08989290260138609.
Der volle Inhalt der QuelleTulving, Endel, Hans J. Markowitsch, Shitij Kapur, Reza Habib und Sylvain Houle. „Novelty encoding networks in the human brain“. NeuroReport 5, Nr. 18 (Dezember 1994): 2525–28. http://dx.doi.org/10.1097/00001756-199412000-00030.
Der volle Inhalt der QuelleBird, C. M., S. C. Berens, A. J. Horner und A. Franklin. „Categorical encoding of color in the brain“. Proceedings of the National Academy of Sciences 111, Nr. 12 (03.03.2014): 4590–95. http://dx.doi.org/10.1073/pnas.1315275111.
Der volle Inhalt der QuelleDissertationen zum Thema "Brain encoding"
Bruguier, Antoine Jean Quartz Steven Quartz Steven Bossaerts Peter L. „Encoding of financial signals in the human brain /“. Diss., Pasadena, Calif. : Caltech, 2008. http://resolver.caltech.edu/CaltechETD:etd-10262007-140735.
Der volle Inhalt der QuelleTreue, Stefan. „Encoding surfaces from motion in the primate visual system“. Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12930.
Der volle Inhalt der QuelleZhang, Suyi. „Encoding and decoding of pain relief in the human brain“. Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/286332.
Der volle Inhalt der QuelleFellner, Marie-Christin [Verfasser]. „Unraveling brain oscillatory correlates of memory encoding / Marie-Christin Fellner“. Konstanz : Bibliothek der Universität Konstanz, 2015. http://d-nb.info/1110772386/34.
Der volle Inhalt der QuelleHowland, Brian G. „Episodic memory, integrative processing, and memory-contingent brain activity during encoding“. [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011629.
Der volle Inhalt der QuelleGruber, M. J. „The role of prestimulus brain activity in long-term memory encoding“. Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1333224/.
Der volle Inhalt der QuelleCosta, Faidella Jordi. „Regularity encoding in the auditory brain as revealed by human evoked potentials“. Doctoral thesis, Universitat de Barcelona, 2011. http://hdl.handle.net/10803/78918.
Der volle Inhalt der QuelleLa codificació de regularitats acústiques està associada amb la reducció de la resposta neuronal a l’estimulació repetida, essent la base de la representació dels objectes auditius al cervell. La present tesi doctoral inclou dos estudis que exploren els correlats neuronals de la codificació de regularitats acústiques al sistema auditiu humà, mitjançant l’anàlisi dels potencials evocats auditius. L’objectiu del primer estudi, realitzat al Grup de Recerca en Neurociència Cognitiva de la Facultat de Psicologia de la Universitat de Barcelona (UB) i sota la supervisió directa del Dr. Carles Escera, va ser el d’explorar les dinàmiques d’adaptació dels potencials evocats auditius a estímuls probabilístics en una complexa seqüència de sons. El resultat principal d’aquest estudi va ser la demostració de que l’amplitud dels potencials evocats auditius s’adapta a la historia complexa d’estimulació amb diferents constants temporals simultàniament: s’adapta més ràpidament a probabilitats d’estimulació locals que globals. Aquest estudi també va mostrar que l’amplitud dels potencials evocats auditius correlaciona amb l’expectància d’un estímul definida com a una combinació de probabilitats locals i globals d’estimulació. L’objectiu del segon estudi, realitzat al Institute of Child Health (ICH), de l’University College of London (UCL), sota la supervision directa del Dr. Torsten Baldeweg, va ser el d’explorar la influència de la predictabilitat temporal en l’adaptació de l’activitat neuronal a estímuls probabilístics. El resultat principal d’aquest estudi va ser la demostració que la predictabilitat temporal intensifica la modulació de l’amplitud dels potencials evocats auditius a la repetició dels estímuls, essent esencial pels efectes que la repetició exerceix en etapes primerenques de la jerarquía de processament auditiu.
Recasens, Fusté Marc. „Source localization of deviance detection and regularity encoding in the auditory brain“. Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/396286.
Der volle Inhalt der QuelleOur auditory system is continuously encoding acoustic regularities and comparing them with incoming sensory inputs. Novel sounds or acoustic changes must be detected fast in an automatic and unconscious fashion, thus allowing for the reallocation of attentional resources and the proper adjustment of our behaviour. The present thesis encloses three studies that employ Magnetoencephalography and source localization of auditory evoked fields as generated in oddball paradigms to assess the neural correlates of deviance detection and regularity encoding in early stages of the human auditory system. The first study, conducted at the Cognitive Neuroscience Research Group (University of Barcelona), shows distinct neuronal generators involved in the encoding of novel sounds in early and late time intervals; as respectively indexed by Middle Latency-Responses (MLR) evoked between 20 and 50 milliseconds after sound onset, and the later Mismatch component (MMN) generated between 100 and 250 milliseconds. The second study, conducted at the Institut fur Biomagnetismus & Biosignalanalys (University of Munster), shows that deviant acoustic features involving different levels of complexity are processed in distinct time ranges and generated in separated neuronal sources, thus suggesting a hierarchical organization of deviance detection and regularity encoding. The third study, conducted in the Cognitive Neuroscience Research Group using a roving-standard paradigm, indicates that neural repetition-related suppression and repetition enhancement underlie auditory memory trace formation, and that neural generators involved in this process are located in both auditory and non-auditory high-order regions. In sum, results from this thesis suggest that auditory perception is based on a hierarchically organized sensory system whose goal is to predict future events on the basis of previously encoded regularities.
Elexpuru-Camiruaga, Jose Antonio. „Susceptibility to brain tumours : role of polymorphism at loci encoding detoxifying enzymes“. Thesis, Keele University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336995.
Der volle Inhalt der QuelleBenavides, Amanda Michelle. „Early neurodevelopmental outcomes in preterm infants: memory, attention, & encoding speed“. Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5415.
Der volle Inhalt der QuelleBücher zum Thema "Brain encoding"
1955-, Parker Amanda, Wilding Edward L. 1968- und Bussey Timothy J. 1961-, Hrsg. The cognitive neuroscience of memory: Encoding and retrieval. New York: Psychology Press, 2002.
Den vollen Inhalt der Quelle findenCao, Chenglong. Immunological screening of a rat brain cDNA library for genes encoding potential novel glutamate receptors. Ottawa: National Library of Canada, 1993.
Den vollen Inhalt der Quelle findenParker, Amanda, Timothy J. Bussey und Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Den vollen Inhalt der Quelle findenParker, Amanda, Timothy J. Bussey und Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Den vollen Inhalt der Quelle findenParker, Amanda, Timothy J. Bussey und Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2014.
Den vollen Inhalt der Quelle findenParker, Amanda, Timothy J. Bussey und Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Den vollen Inhalt der Quelle findenParker, Amanda, Timothy J. Bussey und Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Den vollen Inhalt der Quelle findenParker, Amanda, Timothy J. Bussey und Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Den vollen Inhalt der Quelle findenCao, Chenglong. Immunological screening of a rat brain cDNA library for genes encoding potential novel glutamate receptors. 1994.
Den vollen Inhalt der Quelle findenRoth, Jeffrey Stephen. Isolation and expression of a cDNA clone encoding the catalytic subunit of the rat cAMP-dependent protein kinase. 1987.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Brain encoding"
Qiu, Jie-Lin, Xin-Yi Qiu und Kai Hu. „Emotion Recognition Based on Gramian Encoding Visualization“. In Brain Informatics, 3–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05587-5_1.
Der volle Inhalt der QuelleBonato, Jacopo, Sebastiano Curreli, Tommaso Fellin und Stefano Panzeri. „Optimizing Measures of Information Encoding in Astrocytic Calcium Signals“. In Brain Informatics, 117–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15037-1_10.
Der volle Inhalt der QuelleVan Leemput, Koen. „Probabilistic Brain Atlas Encoding Using Bayesian Inference“. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006, 704–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11866565_86.
Der volle Inhalt der QuelleBeinborn, Lisa, Samira Abnar und Rochelle Choenni. „Robust Evaluation of Language–Brain Encoding Experiments“. In Computational Linguistics and Intelligent Text Processing, 44–61. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24337-0_4.
Der volle Inhalt der QuelleMaffei, Lamberto. „Encoding and Processing of Visual Information in Cortical Neurones“. In Experimental Brain Research Supplementum, 97–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-09224-8_6.
Der volle Inhalt der QuelleLi, Mi, Shengfu Lu, Jiaojiao Li und Ning Zhong. „The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study“. In Brain Informatics, 377–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15314-3_36.
Der volle Inhalt der QuelleJallais, Maëliss, und Demian Wassermann. „Single Encoding Diffusion MRI: A Probe to Brain Anisotropy“. In Mathematics and Visualization, 171–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56215-1_8.
Der volle Inhalt der QuelleDimkovski, Martin, und Aijun An. „Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding“. In Brain Informatics and Health, 24–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47103-7_3.
Der volle Inhalt der QuelleBai, Lijun, und Jie Tian. „Temporospatial Encoding of Acupuncture Effects in the Brain“. In Multi-Modality Neuroimaging Study on Neurobiological Mechanisms of Acupuncture, 31–60. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4914-9_2.
Der volle Inhalt der QuelleRahman, Md Monibor, Md Shibly Sadique, Ahmed G. Temtam, Walia Farzana, L. Vidyaratne und Khan M. Iftekharuddin. „Brain Tumor Segmentation Using UNet-Context Encoding Network“. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 463–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08999-2_40.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Brain encoding"
Shin, Gi-Hwan, und Young-Seok Kweon. „Differential EEG Characteristics during Working Memory Encoding and Re-encoding“. In 2022 10th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2022. http://dx.doi.org/10.1109/bci53720.2022.9735117.
Der volle Inhalt der QuelleGozukara, Dora, Djamari Oetringer, Linda Geerligs und Umut Güçlü. „Precision Brain Encoding Under Naturalistic Conditions“. In 2023 Conference on Cognitive Computational Neuroscience. Oxford, United Kingdom: Cognitive Computational Neuroscience, 2023. http://dx.doi.org/10.32470/ccn.2023.1567-0.
Der volle Inhalt der QuelleZhao, Shijie, Junwei Han, Xintao Hu, Lei Guo und Tianming Liu. „Encoding functional brain interactions from computational visual features“. In 2013 Chinese Automation Congress (CAC). IEEE, 2013. http://dx.doi.org/10.1109/cac.2013.6775739.
Der volle Inhalt der QuelleLi, Chao, Baolin Liu und Jianguo Wei. „Visual Encoding and Decoding of the Human Brain Based on Shared Features“. In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/103.
Der volle Inhalt der QuelleRahnama, Arash, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis und Fatos T. Yarman Vural. „Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning“. In 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2017. http://dx.doi.org/10.1109/bibe.2017.00-75.
Der volle Inhalt der QuelleKalafatovich, Jenifer, und Minji Lee. „Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals“. In 2020 8th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2020. http://dx.doi.org/10.1109/bci48061.2020.9061650.
Der volle Inhalt der QuelleZhang, Shan, Peng Cao, Lili Dou, Jinzhu Yang und Dazhe Zhao. „An Auto-Encoding Generative Adversarial Networks for Generating Brain Network“. In ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3451421.3451425.
Der volle Inhalt der QuelleYang, Huzheng, Yuanning Li und Shi Gu. „Voxel-wise Encoding Models with Hierarchical Task-optimized Brain Atlas“. In 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA: Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1105-0.
Der volle Inhalt der QuelleCao, Lu, Dandan Huang und Yue Zhang. „When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding“. In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/594.
Der volle Inhalt der QuelleZhang, Duzhen, Tielin Zhang, Shuncheng Jia, Qingyu Wang und Bo Xu. „Recent Advances and New Frontiers in Spiking Neural Networks“. In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/790.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Brain encoding"
Yaron, Zvi, Abigail Elizur, Martin Schreibman und Yonathan Zohar. Advancing Puberty in the Black Carp (Mylopharyngodon piceus) and the Striped Bass (Morone saxatilis). United States Department of Agriculture, Januar 2000. http://dx.doi.org/10.32747/2000.7695841.bard.
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