Academic literature on the topic 'Aperiodic activity'
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Journal articles on the topic "Aperiodic activity"
Freeman, W. J. "A proposed name for aperiodic brain activity: stochastic chaos." Neural Networks 13, no. 1 (January 2000): 11–13. http://dx.doi.org/10.1016/s0893-6080(99)00093-3.
Full textSmith, Myron A. "Recent Spectroscopic Evidence for Aperiodic Activity in Classical Be Stars." International Astronomical Union Colloquium 175 (2000): 292–303. http://dx.doi.org/10.1017/s0252921100056049.
Full textVarner, K. J., S. M. Barman, and G. L. Gebber. "Cat diencephalic neurons with sympathetic nerve-related activity." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 254, no. 2 (February 1, 1988): R257—R267. http://dx.doi.org/10.1152/ajpregu.1988.254.2.r257.
Full textDonoghue, Thomas, Julio Dominguez, and Bradley Voytek. "Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity." eneuro 7, no. 6 (September 25, 2020): ENEURO.0192–20.2020. http://dx.doi.org/10.1523/eneuro.0192-20.2020.
Full textIshizuka, Kentaro, Tomohiro Nakatani, Masakiyo Fujimoto, and Noboru Miyazaki. "Noise robust voice activity detection based on periodic to aperiodic component ratio." Speech Communication 52, no. 1 (January 2010): 41–60. http://dx.doi.org/10.1016/j.specom.2009.08.003.
Full textRamsay, Ian, Peter Lynn, Erik Lee, Brandon Schermitzler, David Leipold, and Scott Sponheim. "Disturbances in Aperiodic Neural Activity During Resting State in Patients With Schizophrenia." Biological Psychiatry 89, no. 9 (May 2021): S254—S255. http://dx.doi.org/10.1016/j.biopsych.2021.02.637.
Full textKatz, J. I. "Testing models of periodically modulated FRB activity." Monthly Notices of the Royal Astronomical Society 502, no. 3 (February 11, 2021): 4664–68. http://dx.doi.org/10.1093/mnras/stab399.
Full textSheeba, V., M. Chandrashekaran, Amitabh Joshi, and Vijay Sharma. "Locomotor activity rhythm in Drosophila melanogaster after 600 generations in an aperiodic environment." Naturwissenschaften 89, no. 11 (November 1, 2002): 512–14. http://dx.doi.org/10.1007/s00114-002-0360-9.
Full textSinger, Annabelle C., Giovanni Talei Franzesi, Suhasa B. Kodandaramaiah, Francisco J. Flores, Jeremy D. Cohen, Albert K. Lee, Christoph Borgers, Craig R. Forest, Nancy J. Kopell, and Edward S. Boyden. "Mesoscale-duration activated states gate spiking in response to fast rises in membrane voltage in the awake brain." Journal of Neurophysiology 118, no. 2 (August 1, 2017): 1270–91. http://dx.doi.org/10.1152/jn.00116.2017.
Full textSilbert, B. S., E. Koumoundouros, M. J. Davies, and K. D. Cronin. "The use of Aperiodic Analysis of the EEG during Carotid Artery Surgery." Anaesthesia and Intensive Care 17, no. 1 (February 1989): 16–23. http://dx.doi.org/10.1177/0310057x8901700105.
Full textDissertations / Theses on the topic "Aperiodic activity"
Afzal, Muhammad Furqan. "Robust Encoding of Aperiodic Spatiotemporal Activity Patterns in Recurrent Neural Networks." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1458900169.
Full textKosciessa, Julian Q. "Measurement and relevance of rhythmic and aperiodic human brain dynamics." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/22040.
Full textNon-invasive signals recorded from the human scalp provide a window on the neural dynamics that shape perception, cognition and action. Historically motivating the assessment of large-scale network dynamics, rhythms are a ubiquitous sign of neural coordination, and a major signal of interest in the cognitive, systems, and computational neurosciences. However, typical descriptions of rhythmicity lack detail, e.g., failing to indicate when and for how long rhythms occur. Moreover, neural times series exhibit a wealth of dynamic patterns, only some of which appear rhythmic. While aperiodic contributions are traditionally relegated to the status of irrelevant ‘noise’, they may be informative of latent processing regimes in their own right. This cumulative dissertation summarizes and discusses work that (a) aims to methodologically dissociate rhythmic and aperiodic contributions to human electroencephalogram (EEG) signals, and (b) probes their relevance for flexible cognition. Specifically, Project 1 highlights the necessity, feasibility and limitations of dissociating rhythmic from aperiodic activity at the single-trial level. Project 2 inverts this perspective, and examines the utility of multi-scale entropy as an index for the irregularity of brain dynamics, with a focus on the relation to rhythmic and aperiodic descriptions. By highlighting prior biases and proposing solutions, this work indicates future directions for measurements of temporal irregularity. Finally, Project 3 examines the neurocognitive relevance of rhythmic and aperiodic regimes with regard to the neurophysiological context in which they may be engaged. Using a parallel multi-modal EEG-fMRI design with concurrent pupillometry, this project provides initial evidence that elevated demands shift cortical dynamics from a rhythmic to an irregular regime; and implicates concurrent phasic neuromodulation and subcortical thalamic engagement in these regime shifts.
Book chapters on the topic "Aperiodic activity"
Marinaro, Maria, and Silvia Scarpetta. "Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks." In Artificial Neural Networks — ICANN 2002, 39–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46084-5_7.
Full textConference papers on the topic "Aperiodic activity"
Donoghue, Thomas, Richard Gao, Leonhard Waschke, and Bradley Voytek. "A Simulation-Based Comparison of Methods for Analyzing Aperiodic Neural Activity." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1394-0.
Full textAfzal, M. Furqan, and Ali A. Minai. "Reliable storage and recall of aperiodic spatiotemporal activity patterns using scaffolded attractors." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727451.
Full textWaschke, Leonhard, Thomas Donoghue, Sydney Smith, Bradley Voytek, and Jonas Obleser. "Aperiodic EEG activity tracks 1/f stimulus characteristics and the allocation of cognitive resources." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1111-0.
Full textIshizuka, Kentaro, Tomohiro Nakatani, Masakiyo Fujimoto, and Noboru Miyazaki. "Noise robust front-end processing with voice activity detection based on periodic to aperiodic component ratio." In Interspeech 2007. ISCA: ISCA, 2007. http://dx.doi.org/10.21437/interspeech.2007-93.
Full textRuzzene, M., and A. Baz. "Localization and Control of Wave Propagation in Active Periodic Fluid-Loaded Shells." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21739.
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