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Spatial Directionality Found in Frontal-Parietal Attentional Networks.

Neuroscience journal

Hossain G, Myers MH, Kozma R.
PMID: 30228978
Neurosci J. 2018 Aug 30;2018:7879895. doi: 10.1155/2018/7879895. eCollection 2018.

Research in last few years on neurophysiology focused on several areas across the cortex during cognitive processing to determine the dominant direction of electrical activity. However, information about the frequency and direction of episodic synchronization related to higher cognitive...

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Hossain G, Myers MH, Kozma R. Spatial Directionality Found in Frontal-Parietal Attentional Networks. Neurosci J. 2018;2018:7879895doi: 10.1155/2018/7879895.
Hossain, G., Myers, M. H., & Kozma, R. (2018). Spatial Directionality Found in Frontal-Parietal Attentional Networks. Neuroscience journal, 20187879895. https://doi.org/10.1155/2018/7879895
Hossain, Gahangir, et al. "Spatial Directionality Found in Frontal-Parietal Attentional Networks." Neuroscience journal vol. 2018 (2018): 7879895. doi: https://doi.org/10.1155/2018/7879895
Hossain G, Myers MH, Kozma R. Spatial Directionality Found in Frontal-Parietal Attentional Networks. Neurosci J. 2018 Aug 30;2018:7879895. doi: 10.1155/2018/7879895. eCollection 2018. PMID: 30228978; PMCID: PMC6136485.
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Past and potential future population dynamics of three grouse species using ecological and whole genome coalescent modeling.

Ecology and evolution

Kozma R, Lillie M, Benito BM, Svenning JC, Höglund J.
PMID: 30038766
Ecol Evol. 2018 May 29;8(13):6671-6681. doi: 10.1002/ece3.4163. eCollection 2018 Jul.

Studying demographic history of species provides insight into how the past has shaped the current levels of overall biodiversity and genetic composition of species, but also how these species may react to future perturbations. Here we investigated the demographic...

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Kozma R, Lillie M, Benito BM, et al. Past and potential future population dynamics of three grouse species using ecological and whole genome coalescent modeling. Ecol Evol. 2018;8(13):6671-6681doi: 10.1002/ece3.4163.
Kozma, R., Lillie, M., Benito, B. M., Svenning, J. C., & Höglund, J. (2018). Past and potential future population dynamics of three grouse species using ecological and whole genome coalescent modeling. Ecology and evolution, 8(13), 6671-6681. https://doi.org/10.1002/ece3.4163
Kozma, Radoslav, et al. "Past and potential future population dynamics of three grouse species using ecological and whole genome coalescent modeling." Ecology and evolution vol. 8,13 (2018): 6671-6681. doi: https://doi.org/10.1002/ece3.4163
Kozma R, Lillie M, Benito BM, Svenning JC, Höglund J. Past and potential future population dynamics of three grouse species using ecological and whole genome coalescent modeling. Ecol Evol. 2018 May 29;8(13):6671-6681. doi: 10.1002/ece3.4163. eCollection 2018 Jul. PMID: 30038766; PMCID: PMC6053575.
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Robust sequential working memory recall in heterogeneous cognitive networks.

Frontiers in systems neuroscience

Rabinovich MI, Sokolov Y, Kozma R.
PMID: 25452717
Front Syst Neurosci. 2014 Nov 14;8:220. doi: 10.3389/fnsys.2014.00220. eCollection 2014.

Psychiatric disorders are often caused by partial heterogeneous disinhibition in cognitive networks, controlling sequential and spatial working memory (SWM). Such dynamic connectivity changes suggest that the normal relationship between the neuronal components within the network deteriorates. As a result,...

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Rabinovich MI, Sokolov Y, Kozma R. Robust sequential working memory recall in heterogeneous cognitive networks. Front Syst Neurosci. 2014;8:220doi: 10.3389/fnsys.2014.00220.
Rabinovich, M. I., Sokolov, Y., & Kozma, R. (2014). Robust sequential working memory recall in heterogeneous cognitive networks. Frontiers in systems neuroscience, 8220. https://doi.org/10.3389/fnsys.2014.00220
Rabinovich, Mikhail I, et al. "Robust sequential working memory recall in heterogeneous cognitive networks." Frontiers in systems neuroscience vol. 8 (2014): 220. doi: https://doi.org/10.3389/fnsys.2014.00220
Rabinovich MI, Sokolov Y, Kozma R. Robust sequential working memory recall in heterogeneous cognitive networks. Front Syst Neurosci. 2014 Nov 14;8:220. doi: 10.3389/fnsys.2014.00220. eCollection 2014. PMID: 25452717; PMCID: PMC4231877.
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The virtual high school: Teaching generation V

high school

Zucker AA, Kozma R.
GSID: fHMTgyfwz9AJ
AA Zucker, R Kozma - 2003 - books.google.com

… , this study provides a balanced perspective on the evolution of virtual high school courses and programs. In creating and refining the VHS project, the … • the use of multiple institutional participants to distribute the investments and...

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Zucker, A. A., & Kozma, R. (2003). The virtual high school: Teaching generation V. Teachers College Press.
Zucker, Andrew A., and Robert Kozma. The virtual high school: Teaching generation V. Teachers College Press, 2003.
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Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments.

Frontiers in psychology

Baars BJ, Geld N, Kozma R.
PMID: 34899489
Front Psychol. 2021 Nov 10;12:749868. doi: 10.3389/fpsyg.2021.749868. eCollection 2021.

No abstract available.

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Baars BJ, Geld N, Kozma R. Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments. Front Psychol. 2021;12:749868doi: 10.3389/fpsyg.2021.749868.
Baars, B. J., Geld, N., & Kozma, R. (2021). Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments. Frontiers in psychology, 12749868. https://doi.org/10.3389/fpsyg.2021.749868
Baars, Bernard J, et al. "Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments." Frontiers in psychology vol. 12 (2021): 749868. doi: https://doi.org/10.3389/fpsyg.2021.749868
Baars BJ, Geld N, Kozma R. Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments. Front Psychol. 2021 Nov 10;12:749868. doi: 10.3389/fpsyg.2021.749868. eCollection 2021. PMID: 34899489; PMCID: PMC8660103.
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Advances in Cognitive Engineering Using Neural Networks.

Neural networks : the official journal of the International Neural Network Society

Lee M, Bressler S, Kozma R.
PMID: 28601200
Neural Netw. 2017 Aug;92:1-2. doi: 10.1016/j.neunet.2017.05.012.

No abstract available.

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Lee M, Bressler S, Kozma R. Advances in Cognitive Engineering Using Neural Networks. Neural Netw. 2017;92:1-2doi: 10.1016/j.neunet.2017.05.012.
Lee, M., Bressler, S., & Kozma, R. (2017). Advances in Cognitive Engineering Using Neural Networks. Neural networks : the official journal of the International Neural Network Society, 921-2. https://doi.org/10.1016/j.neunet.2017.05.012
Lee, Minho, et al. "Advances in Cognitive Engineering Using Neural Networks." Neural networks : the official journal of the International Neural Network Society vol. 92 (2017): 1-2. doi: https://doi.org/10.1016/j.neunet.2017.05.012
Lee M, Bressler S, Kozma R. Advances in Cognitive Engineering Using Neural Networks. Neural Netw. 2017 Aug;92:1-2. doi: 10.1016/j.neunet.2017.05.012. PMID: 28601200.
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Cinematic Operation of the Cerebral Cortex Interpreted via Critical Transitions in Self-Organized Dynamic Systems.

Frontiers in systems neuroscience

Kozma R, Freeman WJ.
PMID: 28352218
Front Syst Neurosci. 2017 Mar 14;11:10. doi: 10.3389/fnsys.2017.00010. eCollection 2017.

Measurements of local field potentials over the cortical surface and the scalp of animals and human subjects reveal intermittent bursts of beta and gamma oscillations. During the bursts, narrow-band metastable amplitude modulation (AM) patters emerge for a fraction of...

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Kozma R, Freeman WJ. Cinematic Operation of the Cerebral Cortex Interpreted via Critical Transitions in Self-Organized Dynamic Systems. Front Syst Neurosci. 2017;11:10doi: 10.3389/fnsys.2017.00010.
Kozma, R., & Freeman, W. J. (2017). Cinematic Operation of the Cerebral Cortex Interpreted via Critical Transitions in Self-Organized Dynamic Systems. Frontiers in systems neuroscience, 1110. https://doi.org/10.3389/fnsys.2017.00010
Kozma, Robert, and Freeman, Walter J. "Cinematic Operation of the Cerebral Cortex Interpreted via Critical Transitions in Self-Organized Dynamic Systems." Frontiers in systems neuroscience vol. 11 (2017): 10. doi: https://doi.org/10.3389/fnsys.2017.00010
Kozma R, Freeman WJ. Cinematic Operation of the Cerebral Cortex Interpreted via Critical Transitions in Self-Organized Dynamic Systems. Front Syst Neurosci. 2017 Mar 14;11:10. doi: 10.3389/fnsys.2017.00010. eCollection 2017. PMID: 28352218; PMCID: PMC5348494.
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Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers.

Frontiers in systems neuroscience

Kozma R, Baars BJ, Geld N.
PMID: 34955771
Front Syst Neurosci. 2021 Dec 08;15:784404. doi: 10.3389/fnsys.2021.784404. eCollection 2021.

Spatio-temporal brain activity monitored by EEG recordings in humans and other mammals has identified beta/gamma oscillations (20-80 Hz), which are self-organized into spatio-temporal structures recurring at theta/alpha rates (4-12 Hz). These structures have statistically significant correlations with sensory stimuli...

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Kozma R, Baars BJ, Geld N. Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers. Front Syst Neurosci. 2021;15:784404doi: 10.3389/fnsys.2021.784404.
Kozma, R., Baars, B. J., & Geld, N. (2021). Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers. Frontiers in systems neuroscience, 15784404. https://doi.org/10.3389/fnsys.2021.784404
Kozma, Robert, et al. "Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers." Frontiers in systems neuroscience vol. 15 (2021): 784404. doi: https://doi.org/10.3389/fnsys.2021.784404
Kozma R, Baars BJ, Geld N. Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers. Front Syst Neurosci. 2021 Dec 08;15:784404. doi: 10.3389/fnsys.2021.784404. eCollection 2021. PMID: 34955771; PMCID: PMC8692947.
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Reflections on a giant of brain science: How lucky we are having Walter J. Freeman as our beacon in cognitive neurodynamics research.

Cognitive neurodynamics

Kozma R.
PMID: 27891195
Cogn Neurodyn. 2016 Dec;10(6):457-469. doi: 10.1007/s11571-016-9403-3. Epub 2016 Sep 17.

Walter J. Freeman was a giant of the field of neuroscience whose visionary work contributed various experimental and theoretical breakthroughs to brain research in the past 60 years. He has pioneered a number of Electroencephalogram and Electrocorticogram tools and...

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Kozma R. Reflections on a giant of brain science: How lucky we are having Walter J. Freeman as our beacon in cognitive neurodynamics research. Cogn Neurodyn. 2016;10(6):457-469doi: 10.1007/s11571-016-9403-3.
Kozma, R. (2016). Reflections on a giant of brain science: How lucky we are having Walter J. Freeman as our beacon in cognitive neurodynamics research. Cognitive neurodynamics, 10(6), 457-469. https://doi.org/10.1007/s11571-016-9403-3
Kozma, Robert. "Reflections on a giant of brain science: How lucky we are having Walter J. Freeman as our beacon in cognitive neurodynamics research." Cognitive neurodynamics vol. 10,6 (2016): 457-469. doi: https://doi.org/10.1007/s11571-016-9403-3
Kozma R. Reflections on a giant of brain science: How lucky we are having Walter J. Freeman as our beacon in cognitive neurodynamics research. Cogn Neurodyn. 2016 Dec;10(6):457-469. doi: 10.1007/s11571-016-9403-3. Epub 2016 Sep 17. PMID: 27891195; PMCID: PMC5106457.
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An Effort at Instructional and Faculty Development at the University of Michigan

instructional innovation

Kozma R.
GSID: YWem-OrZzDYJ
R Kozma - 1977 - ERIC

… the adoption of an innovation as an individual decision … instructional technology. Twenty-three innovations were adopted by the nine faculty fellows; the changes ranged from the use of video to the use of discussion and diagnostic tests. It...

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Kozma, R. (1977). An Effort at Instructional and Faculty Development at the University of Michigan.
Kozma, Robert. "An Effort at Instructional and Faculty Development at the University of Michigan." (1977).
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BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.

Frontiers in neuroinformatics

Hazan H, Saunders DJ, Khan H, Patel D, Sanghavi DT, Siegelmann HT, Kozma R.
PMID: 30631269
Front Neuroinform. 2018 Dec 12;12:89. doi: 10.3389/fninf.2018.00089. eCollection 2018.

The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithms. Existing software frameworks support a wide range of neural functionality, software abstraction levels, and...

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Hazan H, Saunders DJ, Khan H, et al. BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Front Neuroinform. 2018;12:89doi: 10.3389/fninf.2018.00089.
Hazan, H., Saunders, D. J., Khan, H., Patel, D., Sanghavi, D. T., Siegelmann, H. T., & Kozma, R. (2018). BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers in neuroinformatics, 1289. https://doi.org/10.3389/fninf.2018.00089
Hazan, Hananel, et al. "BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python." Frontiers in neuroinformatics vol. 12 (2018): 89. doi: https://doi.org/10.3389/fninf.2018.00089
Hazan H, Saunders DJ, Khan H, Patel D, Sanghavi DT, Siegelmann HT, Kozma R. BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Front Neuroinform. 2018 Dec 12;12:89. doi: 10.3389/fninf.2018.00089. eCollection 2018. PMID: 30631269; PMCID: PMC6315182.
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Students becoming chemists: Developing representationl competence

Science education

Kozma R.
GSID: j6YKLf1EaW0J
R Kozma, J Russell - Visualization in science education, 2005 - Springer

This chapter examines the role that representations and visualizations can play in the chemical curriculum. Two types of curricular goals are examined: students' acquisition of …

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Kozma, R., & Russell, J. (2005). Students becoming chemists: Developing representationl competence. In Visualization in science education (pp. 121-145). Springer, Dordrecht.
Kozma, Robert, and Joel Russell. "Students becoming chemists: Developing representationl competence." Visualization in science education. Springer, Dordrecht, 2005. 121-145.
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Showing 1 to 12 of 210 entries