Gotowa bibliografia na temat „Brain encoding”
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Artykuły w czasopismach na temat "Brain encoding"
Heinze, S., G. Sartory, B. W. Mueller, M. Forsting i M. Jueptner. "Brain activation during verbal encoding". Schizophrenia Research 60, nr 1 (marzec 2003): 220. http://dx.doi.org/10.1016/s0920-9964(03)81186-6.
Pełny tekst źródłaDuss, Simone B., Thomas P. Reber, Jürgen Hänggi, Simon Schwab, Roland Wiest, René M. Müri, Peter Brugger, Klemens Gutbrod i 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.
Pełny tekst źródłaHenin, Simon, Anita Shankar, Helen Borges, Adeen Flinker, Werner Doyle, Daniel Friedman, Orrin Devinsky, György Buzsáki i 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.
Pełny tekst źródłaFazio, P., A. Cantagallo, L. Craighero, A. D'Ausilio, A. C. Roy, T. Pozzo, F. Calzolari, E. Granieri i 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.
Pełny tekst źródłaStaurenghi, Erica, Gabriella Testa, Valerio Leoni, Rebecca Cecci, Lucrezia Floro, Serena Giannelli, Eugenio Barone i in. "Altered Brain Cholesterol Machinery in a Down Syndrome Mouse Model: A Possible Common Feature with Alzheimer’s Disease". Antioxidants 13, nr 4 (3.04.2024): 435. http://dx.doi.org/10.3390/antiox13040435.
Pełny tekst źródłaRudenga, K. J., R. Sinha i D. M. Small. "Stress impacts brain encoding of food". Appetite 52, nr 3 (czerwiec 2009): 855. http://dx.doi.org/10.1016/j.appet.2009.04.167.
Pełny tekst źródłaTurella, Luca, Raffaella Rumiati i 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.
Pełny tekst źródłaMiller, Michael B., Alan Kingstone i Michael S. Gazzaniga. "Hemispheric Encoding Asymmetry is More Apparent Than Real". Journal of Cognitive Neuroscience 14, nr 5 (1.07.2002): 702–8. http://dx.doi.org/10.1162/08989290260138609.
Pełny tekst źródłaTulving, Endel, Hans J. Markowitsch, Shitij Kapur, Reza Habib i Sylvain Houle. "Novelty encoding networks in the human brain". NeuroReport 5, nr 18 (grudzień 1994): 2525–28. http://dx.doi.org/10.1097/00001756-199412000-00030.
Pełny tekst źródłaBird, C. M., S. C. Berens, A. J. Horner i A. Franklin. "Categorical encoding of color in the brain". Proceedings of the National Academy of Sciences 111, nr 12 (3.03.2014): 4590–95. http://dx.doi.org/10.1073/pnas.1315275111.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaTreue, Stefan. "Encoding surfaces from motion in the primate visual system". Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12930.
Pełny tekst źródłaZhang, 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.
Pełny tekst źródłaFellner, 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.
Pełny tekst źródłaHowland, 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.
Pełny tekst źródłaGruber, 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/.
Pełny tekst źródłaCosta, 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.
Pełny tekst źródłaLa 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.
Pełny tekst źródłaOur 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.
Pełny tekst źródłaBenavides, Amanda Michelle. "Early neurodevelopmental outcomes in preterm infants: memory, attention, & encoding speed". Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5415.
Pełny tekst źródłaKsiążki na temat "Brain encoding"
1955-, Parker Amanda, Wilding Edward L. 1968- i Bussey Timothy J. 1961-, red. The cognitive neuroscience of memory: Encoding and retrieval. New York: Psychology Press, 2002.
Znajdź pełny tekst źródłaCao, Chenglong. Immunological screening of a rat brain cDNA library for genes encoding potential novel glutamate receptors. Ottawa: National Library of Canada, 1993.
Znajdź pełny tekst źródłaParker, Amanda, Timothy J. Bussey i Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Znajdź pełny tekst źródłaParker, Amanda, Timothy J. Bussey i Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Znajdź pełny tekst źródłaParker, Amanda, Timothy J. Bussey i Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2014.
Znajdź pełny tekst źródłaParker, Amanda, Timothy J. Bussey i Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Znajdź pełny tekst źródłaParker, Amanda, Timothy J. Bussey i Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Znajdź pełny tekst źródłaParker, Amanda, Timothy J. Bussey i Edward L. Wilding. Cognitive Neuroscience of Memory: Encoding and Retrieval. Taylor & Francis Group, 2005.
Znajdź pełny tekst źródłaCao, Chenglong. Immunological screening of a rat brain cDNA library for genes encoding potential novel glutamate receptors. 1994.
Znajdź pełny tekst źródłaRoth, Jeffrey Stephen. Isolation and expression of a cDNA clone encoding the catalytic subunit of the rat cAMP-dependent protein kinase. 1987.
Znajdź pełny tekst źródłaCzęści książek na temat "Brain encoding"
Qiu, Jie-Lin, Xin-Yi Qiu i Kai Hu. "Emotion Recognition Based on Gramian Encoding Visualization". W Brain Informatics, 3–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05587-5_1.
Pełny tekst źródłaBonato, Jacopo, Sebastiano Curreli, Tommaso Fellin i Stefano Panzeri. "Optimizing Measures of Information Encoding in Astrocytic Calcium Signals". W Brain Informatics, 117–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15037-1_10.
Pełny tekst źródłaVan Leemput, Koen. "Probabilistic Brain Atlas Encoding Using Bayesian Inference". W 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.
Pełny tekst źródłaBeinborn, Lisa, Samira Abnar i Rochelle Choenni. "Robust Evaluation of Language–Brain Encoding Experiments". W 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.
Pełny tekst źródłaMaffei, Lamberto. "Encoding and Processing of Visual Information in Cortical Neurones". W Experimental Brain Research Supplementum, 97–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-09224-8_6.
Pełny tekst źródłaLi, Mi, Shengfu Lu, Jiaojiao Li i Ning Zhong. "The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study". W Brain Informatics, 377–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15314-3_36.
Pełny tekst źródłaJallais, Maëliss, i Demian Wassermann. "Single Encoding Diffusion MRI: A Probe to Brain Anisotropy". W Mathematics and Visualization, 171–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56215-1_8.
Pełny tekst źródłaDimkovski, Martin, i Aijun An. "Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding". W Brain Informatics and Health, 24–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47103-7_3.
Pełny tekst źródłaBai, Lijun, i Jie Tian. "Temporospatial Encoding of Acupuncture Effects in the Brain". W 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.
Pełny tekst źródłaRahman, Md Monibor, Md Shibly Sadique, Ahmed G. Temtam, Walia Farzana, L. Vidyaratne i Khan M. Iftekharuddin. "Brain Tumor Segmentation Using UNet-Context Encoding Network". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Brain encoding"
Shin, Gi-Hwan, i Young-Seok Kweon. "Differential EEG Characteristics during Working Memory Encoding and Re-encoding". W 2022 10th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2022. http://dx.doi.org/10.1109/bci53720.2022.9735117.
Pełny tekst źródłaGozukara, Dora, Djamari Oetringer, Linda Geerligs i Umut Güçlü. "Precision Brain Encoding Under Naturalistic Conditions". W 2023 Conference on Cognitive Computational Neuroscience. Oxford, United Kingdom: Cognitive Computational Neuroscience, 2023. http://dx.doi.org/10.32470/ccn.2023.1567-0.
Pełny tekst źródłaZhao, Shijie, Junwei Han, Xintao Hu, Lei Guo i Tianming Liu. "Encoding functional brain interactions from computational visual features". W 2013 Chinese Automation Congress (CAC). IEEE, 2013. http://dx.doi.org/10.1109/cac.2013.6775739.
Pełny tekst źródłaLi, Chao, Baolin Liu i Jianguo Wei. "Visual Encoding and Decoding of the Human Brain Based on Shared Features". W 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.
Pełny tekst źródłaRahnama, Arash, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis i Fatos T. Yarman Vural. "Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning". W 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2017. http://dx.doi.org/10.1109/bibe.2017.00-75.
Pełny tekst źródłaKalafatovich, Jenifer, i Minji Lee. "Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals". W 2020 8th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2020. http://dx.doi.org/10.1109/bci48061.2020.9061650.
Pełny tekst źródłaZhang, Shan, Peng Cao, Lili Dou, Jinzhu Yang i Dazhe Zhao. "An Auto-Encoding Generative Adversarial Networks for Generating Brain Network". W 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.
Pełny tekst źródłaYang, Huzheng, Yuanning Li i Shi Gu. "Voxel-wise Encoding Models with Hierarchical Task-optimized Brain Atlas". W 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA: Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1105-0.
Pełny tekst źródłaCao, Lu, Dandan Huang i Yue Zhang. "When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding". W 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.
Pełny tekst źródłaZhang, Duzhen, Tielin Zhang, Shuncheng Jia, Qingyu Wang i Bo Xu. "Recent Advances and New Frontiers in Spiking Neural Networks". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Brain encoding"
Yaron, Zvi, Abigail Elizur, Martin Schreibman i Yonathan Zohar. Advancing Puberty in the Black Carp (Mylopharyngodon piceus) and the Striped Bass (Morone saxatilis). United States Department of Agriculture, styczeń 2000. http://dx.doi.org/10.32747/2000.7695841.bard.
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