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You searched for subject:(Brain complexity). Showing records 1 – 17 of 17 total matches.

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Universiteit Utrecht

1. Saenger Amoore, V.M. A matter of mind: reductionism and emergentism as frameworks for understanding consciousness.

Degree: 2014, Universiteit Utrecht

 According to materialists, mental processes are a product of the brain. In the context of neural properties such as complexity and consciousness, new frameworks for… (more)

Subjects/Keywords: reductionism; emergentism; brain complexity; consciousness.

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APA (6th Edition):

Saenger Amoore, V. M. (2014). A matter of mind: reductionism and emergentism as frameworks for understanding consciousness. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296440

Chicago Manual of Style (16th Edition):

Saenger Amoore, V M. “A matter of mind: reductionism and emergentism as frameworks for understanding consciousness.” 2014. Masters Thesis, Universiteit Utrecht. Accessed October 31, 2020. http://dspace.library.uu.nl:8080/handle/1874/296440.

MLA Handbook (7th Edition):

Saenger Amoore, V M. “A matter of mind: reductionism and emergentism as frameworks for understanding consciousness.” 2014. Web. 31 Oct 2020.

Vancouver:

Saenger Amoore VM. A matter of mind: reductionism and emergentism as frameworks for understanding consciousness. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Oct 31]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296440.

Council of Science Editors:

Saenger Amoore VM. A matter of mind: reductionism and emergentism as frameworks for understanding consciousness. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296440


University of Toronto

2. Carpentier, Sarah McDonough. It’s Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward.

Degree: PhD, 2018, University of Toronto

The dynamic, integrated, network activity that underlies higher cognition produces complex brain signals with information at multiple timescales. The present body of work represents an… (more)

Subjects/Keywords: brain complexity; information processing; multiscale entropy; music perception; music preferences; reward; 0317

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APA (6th Edition):

Carpentier, S. M. (2018). It’s Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/97780

Chicago Manual of Style (16th Edition):

Carpentier, Sarah McDonough. “It’s Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward.” 2018. Doctoral Dissertation, University of Toronto. Accessed October 31, 2020. http://hdl.handle.net/1807/97780.

MLA Handbook (7th Edition):

Carpentier, Sarah McDonough. “It’s Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward.” 2018. Web. 31 Oct 2020.

Vancouver:

Carpentier SM. It’s Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward. [Internet] [Doctoral dissertation]. University of Toronto; 2018. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1807/97780.

Council of Science Editors:

Carpentier SM. It’s Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward. [Doctoral Dissertation]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/97780


Universitat Pompeu Fabra

3. Saenger Amoore, Victor Manuel. Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2018, Universitat Pompeu Fabra

 La actividad cerebral en reposo revela una arquitectura funcional compleja. Sin embargo, los mecanismos subyacentes que generan dicha arquitectura no han sido esclarecidos del todo.… (more)

Subjects/Keywords: Whole-brain modeling; Brain disease; Brain networks; Complexity; Criticality; Modelos computacionales cerebrales a gran escala; Enfermedades cerebrales; Redes cerebrales; Complejidad; Criticalidad; 62

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APA (6th Edition):

Saenger Amoore, V. M. (2018). Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/565910

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saenger Amoore, Victor Manuel. “Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling.” 2018. Thesis, Universitat Pompeu Fabra. Accessed October 31, 2020. http://hdl.handle.net/10803/565910.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saenger Amoore, Victor Manuel. “Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling.” 2018. Web. 31 Oct 2020.

Vancouver:

Saenger Amoore VM. Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling. [Internet] [Thesis]. Universitat Pompeu Fabra; 2018. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10803/565910.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saenger Amoore VM. Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling. [Thesis]. Universitat Pompeu Fabra; 2018. Available from: http://hdl.handle.net/10803/565910

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Comsa, Iulia-Maria. Tracking brain dynamics across transitions of consciousness.

Degree: PhD, 2019, University of Cambridge

 How do we lose and regain consciousness? The space between healthy wakefulness and unconsciousness encompasses a series of gradual and rapid changes in brain activity.… (more)

Subjects/Keywords: consciousness; neuroscience of consciousness; states of consciousness; levels of consciousness; impaired consciousness; onset of sleep; sedation; coma; EEG; EEG microstates; brain connectivity; frontoparietal connectivity; temporal brain dynamics; graph theory; Lempel-Ziv complexity; neural complexity; neural integration; brain networks; spectral power; spectral connectivity; weighted phase lag index

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APA (6th Edition):

Comsa, I. (2019). Tracking brain dynamics across transitions of consciousness. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.37723 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774595

Chicago Manual of Style (16th Edition):

Comsa, Iulia-Maria. “Tracking brain dynamics across transitions of consciousness.” 2019. Doctoral Dissertation, University of Cambridge. Accessed October 31, 2020. https://doi.org/10.17863/CAM.37723 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774595.

MLA Handbook (7th Edition):

Comsa, Iulia-Maria. “Tracking brain dynamics across transitions of consciousness.” 2019. Web. 31 Oct 2020.

Vancouver:

Comsa I. Tracking brain dynamics across transitions of consciousness. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Oct 31]. Available from: https://doi.org/10.17863/CAM.37723 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774595.

Council of Science Editors:

Comsa I. Tracking brain dynamics across transitions of consciousness. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://doi.org/10.17863/CAM.37723 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774595


University of Cambridge

5. Comsa, Iulia-Maria. Tracking brain dynamics across transitions of consciousness.

Degree: PhD, 2019, University of Cambridge

 How do we lose and regain consciousness? The space between healthy wakefulness and unconsciousness encompasses a series of gradual and rapid changes in brain activity.… (more)

Subjects/Keywords: consciousness; neuroscience of consciousness; states of consciousness; levels of consciousness; impaired consciousness; onset of sleep; sedation; coma; EEG; EEG microstates; brain connectivity; frontoparietal connectivity; temporal brain dynamics; graph theory; Lempel-Ziv complexity; neural complexity; neural integration; brain networks; spectral power; spectral connectivity; weighted phase lag index

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APA (6th Edition):

Comsa, I. (2019). Tracking brain dynamics across transitions of consciousness. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/290496

Chicago Manual of Style (16th Edition):

Comsa, Iulia-Maria. “Tracking brain dynamics across transitions of consciousness.” 2019. Doctoral Dissertation, University of Cambridge. Accessed October 31, 2020. https://www.repository.cam.ac.uk/handle/1810/290496.

MLA Handbook (7th Edition):

Comsa, Iulia-Maria. “Tracking brain dynamics across transitions of consciousness.” 2019. Web. 31 Oct 2020.

Vancouver:

Comsa I. Tracking brain dynamics across transitions of consciousness. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Oct 31]. Available from: https://www.repository.cam.ac.uk/handle/1810/290496.

Council of Science Editors:

Comsa I. Tracking brain dynamics across transitions of consciousness. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/290496

6. Zare, Hoda. The relationship between lexical and grammatical development in typical and brain-damaged children.

Degree: Linguistics, 2013, University of Manitoba

 Although there are many studies about the relationship between grammar and lexicon, there is a lack of studies examining the relationship between the growth of… (more)

Subjects/Keywords: language acquisition; brain-damaged; Speech pathology; lexical complexity; grammatical complexity

…a brain damaged child. The pattern of the complexity in lexical and grammatical… …39 Figure 7- Auxiliary and modal use of brain injured children… …42 Figure 8- Coordinate clause use of brain injured children… …44 Figure 9- Subordinate clause use of brain injured children… …45 Figure 10- Coordinated subject/object use of brain injured children… 

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APA (6th Edition):

Zare, H. (2013). The relationship between lexical and grammatical development in typical and brain-damaged children. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/22025

Chicago Manual of Style (16th Edition):

Zare, Hoda. “The relationship between lexical and grammatical development in typical and brain-damaged children.” 2013. Masters Thesis, University of Manitoba. Accessed October 31, 2020. http://hdl.handle.net/1993/22025.

MLA Handbook (7th Edition):

Zare, Hoda. “The relationship between lexical and grammatical development in typical and brain-damaged children.” 2013. Web. 31 Oct 2020.

Vancouver:

Zare H. The relationship between lexical and grammatical development in typical and brain-damaged children. [Internet] [Masters thesis]. University of Manitoba; 2013. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1993/22025.

Council of Science Editors:

Zare H. The relationship between lexical and grammatical development in typical and brain-damaged children. [Masters Thesis]. University of Manitoba; 2013. Available from: http://hdl.handle.net/1993/22025


University of Tennessee – Knoxville

7. McBride, Joseph Curtis. Dynamic Complexity and Causality Analysis of Scalp EEG for Detection of Cognitive Deficits.

Degree: 2014, University of Tennessee – Knoxville

 This dissertation explores the potential of scalp electroencephalography (EEG) for the detection and evaluation of neurological deficits due to moderate/severe traumatic brain injury (TBI), mild… (more)

Subjects/Keywords: EEG; causality; complexity; mild cognitive impairment; Alzheimer's disease; traumatic brain injury; Bioelectrical and Neuroengineering; Biomedical Devices and Instrumentation

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APA (6th Edition):

McBride, J. C. (2014). Dynamic Complexity and Causality Analysis of Scalp EEG for Detection of Cognitive Deficits. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/2713

Chicago Manual of Style (16th Edition):

McBride, Joseph Curtis. “Dynamic Complexity and Causality Analysis of Scalp EEG for Detection of Cognitive Deficits.” 2014. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 31, 2020. https://trace.tennessee.edu/utk_graddiss/2713.

MLA Handbook (7th Edition):

McBride, Joseph Curtis. “Dynamic Complexity and Causality Analysis of Scalp EEG for Detection of Cognitive Deficits.” 2014. Web. 31 Oct 2020.

Vancouver:

McBride JC. Dynamic Complexity and Causality Analysis of Scalp EEG for Detection of Cognitive Deficits. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2020 Oct 31]. Available from: https://trace.tennessee.edu/utk_graddiss/2713.

Council of Science Editors:

McBride JC. Dynamic Complexity and Causality Analysis of Scalp EEG for Detection of Cognitive Deficits. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2014. Available from: https://trace.tennessee.edu/utk_graddiss/2713

8. La Freniere, Eric Alexander. The emergence of language as a function of brain-hemispheric feedback.

Degree: 2012, James Madison University

 This text posits the emergence of language as a function of brain-hemispheric feedback, where “emergence” refers to the generation of complex patterns from relatively simple… (more)

Subjects/Keywords: language; evolution; brain; hemispheres; lateralization; asymmetry; complexity; chaos; fractals; semiotics; abstraction; recursion; Jaynes; Rhetoric and Composition

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APA (6th Edition):

La Freniere, E. A. (2012). The emergence of language as a function of brain-hemispheric feedback. (Masters Thesis). James Madison University. Retrieved from https://commons.lib.jmu.edu/master201019/257

Chicago Manual of Style (16th Edition):

La Freniere, Eric Alexander. “The emergence of language as a function of brain-hemispheric feedback.” 2012. Masters Thesis, James Madison University. Accessed October 31, 2020. https://commons.lib.jmu.edu/master201019/257.

MLA Handbook (7th Edition):

La Freniere, Eric Alexander. “The emergence of language as a function of brain-hemispheric feedback.” 2012. Web. 31 Oct 2020.

Vancouver:

La Freniere EA. The emergence of language as a function of brain-hemispheric feedback. [Internet] [Masters thesis]. James Madison University; 2012. [cited 2020 Oct 31]. Available from: https://commons.lib.jmu.edu/master201019/257.

Council of Science Editors:

La Freniere EA. The emergence of language as a function of brain-hemispheric feedback. [Masters Thesis]. James Madison University; 2012. Available from: https://commons.lib.jmu.edu/master201019/257


Universitat de Girona

9. Bonmatí Coll, Ester. Study of brain complexity using information theory tools.

Degree: Departament d'Informàtica, Matemàtica Aplicada i Estadística (2013-), 2016, Universitat de Girona

 El cervell humà és una xarxa complexa que comparteix i processa la informació mitjançant els camins estructurals per tal de realitzar una funció. El connectoma… (more)

Subjects/Keywords: Connectome; Connectoma; Conectoma; Brain complexity; Complexitat del cervell; Complejidad del cerebro; Information theory; Teoria de la informació; Teoría de la información; Brain networks; Xarxes cerebrals; Redes cerebrales; 004; 616.8

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APA (6th Edition):

Bonmatí Coll, E. (2016). Study of brain complexity using information theory tools. (Thesis). Universitat de Girona. Retrieved from http://hdl.handle.net/10803/404384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bonmatí Coll, Ester. “Study of brain complexity using information theory tools.” 2016. Thesis, Universitat de Girona. Accessed October 31, 2020. http://hdl.handle.net/10803/404384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bonmatí Coll, Ester. “Study of brain complexity using information theory tools.” 2016. Web. 31 Oct 2020.

Vancouver:

Bonmatí Coll E. Study of brain complexity using information theory tools. [Internet] [Thesis]. Universitat de Girona; 2016. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10803/404384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bonmatí Coll E. Study of brain complexity using information theory tools. [Thesis]. Universitat de Girona; 2016. Available from: http://hdl.handle.net/10803/404384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Belio, Christian. Handicap, cognition et représentations : Handicap, cognition and representations.

Degree: Docteur es, Sociétés, Politique, Santé publique. Sciences cognitives et Ergonomie. Sciences cognitives, 2012, Université de Bordeaux Segalen

La médecine de l’Antiquité voit l’individu malade et ne reconnaît pas le handicap. Les classifications C.I.H. et C.I.F. de l’O.M.S. ont modifié notre manière de… (more)

Subjects/Keywords: Handicap psychique; Handicap cognitif; Traumatisme crânien; Schizophrénie; Attitudes; Représentations; Complexité; Ergothérapie; Mental impairment; Cognitive impairment; Traumatic brain Injury; Schizophrenia; Attitudes; Representations; Complexity; Occupational therapie

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APA (6th Edition):

Belio, C. (2012). Handicap, cognition et représentations : Handicap, cognition and representations. (Doctoral Dissertation). Université de Bordeaux Segalen. Retrieved from http://www.theses.fr/2012BOR22011

Chicago Manual of Style (16th Edition):

Belio, Christian. “Handicap, cognition et représentations : Handicap, cognition and representations.” 2012. Doctoral Dissertation, Université de Bordeaux Segalen. Accessed October 31, 2020. http://www.theses.fr/2012BOR22011.

MLA Handbook (7th Edition):

Belio, Christian. “Handicap, cognition et représentations : Handicap, cognition and representations.” 2012. Web. 31 Oct 2020.

Vancouver:

Belio C. Handicap, cognition et représentations : Handicap, cognition and representations. [Internet] [Doctoral dissertation]. Université de Bordeaux Segalen; 2012. [cited 2020 Oct 31]. Available from: http://www.theses.fr/2012BOR22011.

Council of Science Editors:

Belio C. Handicap, cognition et représentations : Handicap, cognition and representations. [Doctoral Dissertation]. Université de Bordeaux Segalen; 2012. Available from: http://www.theses.fr/2012BOR22011


Macquarie University

11. White, Gemma Ellen. Spatial learning in intertidal gobies.

Degree: 2014, Macquarie University

"A thesis presented to the Department of Biological Sciences at Macquarie University"

"June, 2014"

Bibliography:pages 161-179.

Chapter 1. General introduction  – Chapter 2. Influence of… (more)

Subjects/Keywords: Gobiidae; Gobiidae  – Research  – Methodology; Intertidal fishes; Intertidal ecology; Intertidal ecology  – Research  – Methodology; spatial learning and memory; Gobiidae; marine environment; intertidal fish assemblages; rock pool characteristics; habitat complexity; homing; site fidelity; cue use; brain size; brain morphology; histology; ellipsoid model; micro-CT; phylogeny; D-loop

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APA (6th Edition):

White, G. E. (2014). Spatial learning in intertidal gobies. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1142371

Chicago Manual of Style (16th Edition):

White, Gemma Ellen. “Spatial learning in intertidal gobies.” 2014. Doctoral Dissertation, Macquarie University. Accessed October 31, 2020. http://hdl.handle.net/1959.14/1142371.

MLA Handbook (7th Edition):

White, Gemma Ellen. “Spatial learning in intertidal gobies.” 2014. Web. 31 Oct 2020.

Vancouver:

White GE. Spatial learning in intertidal gobies. [Internet] [Doctoral dissertation]. Macquarie University; 2014. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1959.14/1142371.

Council of Science Editors:

White GE. Spatial learning in intertidal gobies. [Doctoral Dissertation]. Macquarie University; 2014. Available from: http://hdl.handle.net/1959.14/1142371

12. Linkenkaer-Hansen, Klaus. Self-Organized Criticality and Stochastic Resonance in the Human Brain.

Degree: 2002, Helsinki University of Technology

 The human brain spontaneously generates neuronal network oscillations at around 10 and 20 Hz with a large variability in amplitude, duration, and recurrence. Despite more than… (more)

Subjects/Keywords: neuroscience; complexity physics; neuronal population dynamics; avalanche dynamics; spontaneous or ongoing oscillations; self-organization; variability; criticality; brain states; stochastic resonance; correlations; scaling behavior

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APA (6th Edition):

Linkenkaer-Hansen, K. (2002). Self-Organized Criticality and Stochastic Resonance in the Human Brain. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2002/isbn9512262177/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Linkenkaer-Hansen, Klaus. “Self-Organized Criticality and Stochastic Resonance in the Human Brain.” 2002. Thesis, Helsinki University of Technology. Accessed October 31, 2020. http://lib.tkk.fi/Diss/2002/isbn9512262177/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Linkenkaer-Hansen, Klaus. “Self-Organized Criticality and Stochastic Resonance in the Human Brain.” 2002. Web. 31 Oct 2020.

Vancouver:

Linkenkaer-Hansen K. Self-Organized Criticality and Stochastic Resonance in the Human Brain. [Internet] [Thesis]. Helsinki University of Technology; 2002. [cited 2020 Oct 31]. Available from: http://lib.tkk.fi/Diss/2002/isbn9512262177/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Linkenkaer-Hansen K. Self-Organized Criticality and Stochastic Resonance in the Human Brain. [Thesis]. Helsinki University of Technology; 2002. Available from: http://lib.tkk.fi/Diss/2002/isbn9512262177/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Stellenbosch University

13. De Villiers, Tanya. Complexity and the self.

Degree: MA, Philosophy, 2002, Stellenbosch University

ENGLISH ABSTRACT: In this thesis it is argued that the age-old philosophical "Problem of the Self' can benefit by being approached from the perspective of… (more)

Subjects/Keywords: Freud, Sigmund,  – 1856-1939; Dawkins, Richard,  – 1941-; Dennett, Daniel Clement; Cilliers, Paul,  – 1956-; Self (Philosophy); Complexity (Philosophy); Brain  – Philosophy; Philosophy of mind; Social ecology; Complex self

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APA (6th Edition):

De Villiers, T. (2002). Complexity and the self. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/52744

Chicago Manual of Style (16th Edition):

De Villiers, Tanya. “Complexity and the self.” 2002. Masters Thesis, Stellenbosch University. Accessed October 31, 2020. http://hdl.handle.net/10019.1/52744.

MLA Handbook (7th Edition):

De Villiers, Tanya. “Complexity and the self.” 2002. Web. 31 Oct 2020.

Vancouver:

De Villiers T. Complexity and the self. [Internet] [Masters thesis]. Stellenbosch University; 2002. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/10019.1/52744.

Council of Science Editors:

De Villiers T. Complexity and the self. [Masters Thesis]. Stellenbosch University; 2002. Available from: http://hdl.handle.net/10019.1/52744

14. Serletis, Demitre. A Complexity Analysis of Noise-like Activity in the Nervous System and its Application to Brain State Classification and Identification in Epilepsy.

Degree: 2010, University of Toronto

Complexity lies halfway between stochasticity and determinism, suggesting that brain activity is neither fully random nor fully predictable but lives by the rules of nonlinear… (more)

Subjects/Keywords: Noise-like activity; Brain; Complexity; Hippocampus; Signal analysis; Membrane potential; Electrophysiology; Network dynamics; Phase synchrony; Nonlinear dynamics; Fractal; 0317; 0541

…analysis of NLA complexity. XII 1 1 Introduction The brain is a complex system under… …differences in neurodynamical complexity between healthy and epileptiform brain activity. 4 2.2… …2.4 Complexity Theory and the Brain Many real systems are characterized by complex, network… …brain to investigate the complexity therein. For completeness sake, a brief description of… …solely on the notion of low- and high-complexity in the background NLA component of brain… 

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APA (6th Edition):

Serletis, D. (2010). A Complexity Analysis of Noise-like Activity in the Nervous System and its Application to Brain State Classification and Identification in Epilepsy. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/32049

Chicago Manual of Style (16th Edition):

Serletis, Demitre. “A Complexity Analysis of Noise-like Activity in the Nervous System and its Application to Brain State Classification and Identification in Epilepsy.” 2010. Doctoral Dissertation, University of Toronto. Accessed October 31, 2020. http://hdl.handle.net/1807/32049.

MLA Handbook (7th Edition):

Serletis, Demitre. “A Complexity Analysis of Noise-like Activity in the Nervous System and its Application to Brain State Classification and Identification in Epilepsy.” 2010. Web. 31 Oct 2020.

Vancouver:

Serletis D. A Complexity Analysis of Noise-like Activity in the Nervous System and its Application to Brain State Classification and Identification in Epilepsy. [Internet] [Doctoral dissertation]. University of Toronto; 2010. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1807/32049.

Council of Science Editors:

Serletis D. A Complexity Analysis of Noise-like Activity in the Nervous System and its Application to Brain State Classification and Identification in Epilepsy. [Doctoral Dissertation]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/32049


University of New South Wales

15. Teo, Jason T. W. Pareto multi-objective evolution of legged embodied organisms.

Degree: Information Technology & Electrical Engineering, 2003, University of New South Wales

 The automatic synthesis of embodied creatures through artificial evolution has becomea key area of research in robotics, artificial life and the cognitive sciences.However, the research… (more)

Subjects/Keywords: Artificial intelligence; artificial life; artificial neural networks; body-brain co-evolution; complexity measures; differential evolution; evolutionary algorithms; evolutionary complexity measures; differential evolution; evolutionary algorithms; evolutionary multi-objective optimization; evolutionary artificial neural networks; evolutionary robotics; morpho-functional machines; multi-objective optimization

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APA (6th Edition):

Teo, J. T. W. (2003). Pareto multi-objective evolution of legged embodied organisms. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/38682 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3283/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Teo, Jason T W. “Pareto multi-objective evolution of legged embodied organisms.” 2003. Doctoral Dissertation, University of New South Wales. Accessed October 31, 2020. http://handle.unsw.edu.au/1959.4/38682 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3283/SOURCE01?view=true.

MLA Handbook (7th Edition):

Teo, Jason T W. “Pareto multi-objective evolution of legged embodied organisms.” 2003. Web. 31 Oct 2020.

Vancouver:

Teo JTW. Pareto multi-objective evolution of legged embodied organisms. [Internet] [Doctoral dissertation]. University of New South Wales; 2003. [cited 2020 Oct 31]. Available from: http://handle.unsw.edu.au/1959.4/38682 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3283/SOURCE01?view=true.

Council of Science Editors:

Teo JTW. Pareto multi-objective evolution of legged embodied organisms. [Doctoral Dissertation]. University of New South Wales; 2003. Available from: http://handle.unsw.edu.au/1959.4/38682 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3283/SOURCE01?view=true

16. Ertem Oktay, Makbule Zeynep. Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks.

Degree: PhD, Industrial Engineering, 2015, Texas A&M University

 Many complex systems involve entities that interact with each other through various relationships (e.g., people in social systems, neurons in the brain). These entities and… (more)

Subjects/Keywords: Clique relaxations; Clustering coefficient; Clustering algorithms; Integer programming; Graph theory; Combinatorial optimization; Computational complexity; Branch and bound; Social network analysis; Brain network analysis; Maximum independent union of cliques problem

…59 59 62 62 64 66 69 71 4. NETWORK ANALYSIS OF LARGE SCALE BRAIN… …4.1 A flowchart for the construction and analysis of brain networks from the animal brain… …threshold-based matrix. Step 6a, clustering analysis on the brain networks. Step 6b, graph… …theoretical analyses on the brain networks… …87 4.13 Identified clusters on the brain fMRI image for a subject in the control group… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ertem Oktay, M. Z. (2015). Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155698

Chicago Manual of Style (16th Edition):

Ertem Oktay, Makbule Zeynep. “Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 31, 2020. http://hdl.handle.net/1969.1/155698.

MLA Handbook (7th Edition):

Ertem Oktay, Makbule Zeynep. “Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks.” 2015. Web. 31 Oct 2020.

Vancouver:

Ertem Oktay MZ. Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 31]. Available from: http://hdl.handle.net/1969.1/155698.

Council of Science Editors:

Ertem Oktay MZ. Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155698

17. Khajehabdollahi, Sina. Phase transitions of Integrated Information in the Generalized Ising Model of the Brain.

Degree: 2018, University of Western Ontario

 The bold framework of the Integrated Information Theory of consciousness are explored in this thesis in the context of the generalized Ising model of the… (more)

Subjects/Keywords: integrated information; consciousness; ising model; criticality; phase transitionsThe bold framework of the Integrated Information Theory of consciousness are explored in this thesis in the context of the generalized Ising model of the brain. Small 5-node networks are simulated on the Ising model with Metropolis transitions where the fitting parameter $T$ is fit to empirical functional connectivity matrices of healthy human subjects. Fitting to criticality; results indicate that integrated information undergoes a phase transition at the critical temperature $T_c$. The results are interpreted in the context of an emerging perspective of the science of complexity and perhaps even the philosophy of science; the universe as a self-organizing critical system undergoing cascades of phase transitions into complexity.; complexity

…Structure Brain Networks AUD Auditory DMN Default Mode ECNr Executive Control Right ECNl Executive… …imitation and to that end, in this thesis we use a generalized Ising model to model the brain as a… …combined with the emerging physical perspective of the critical brain to explore the interaction… …recent arguments that complexity, life, and consciousness all tend to be critical systems… …thesis is mostly interested in the ‘brain and consciousness’ patch of this puzzle, though a… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khajehabdollahi, S. (2018). Phase transitions of Integrated Information in the Generalized Ising Model of the Brain. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5241

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khajehabdollahi, Sina. “Phase transitions of Integrated Information in the Generalized Ising Model of the Brain.” 2018. Thesis, University of Western Ontario. Accessed October 31, 2020. https://ir.lib.uwo.ca/etd/5241.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khajehabdollahi, Sina. “Phase transitions of Integrated Information in the Generalized Ising Model of the Brain.” 2018. Web. 31 Oct 2020.

Vancouver:

Khajehabdollahi S. Phase transitions of Integrated Information in the Generalized Ising Model of the Brain. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2020 Oct 31]. Available from: https://ir.lib.uwo.ca/etd/5241.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khajehabdollahi S. Phase transitions of Integrated Information in the Generalized Ising Model of the Brain. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5241

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.