|
|
Spatial modeling of brain tissue
John, Pavel ; Neruda, Roman (advisor) ; Brom, Cyril (referee)
Neural connections in the human brain are known to be modified by experiences. Yet, little is known about the mechanism of the modification and its implications on the brain function. The aim of this thesis is to investigate what impact the spatial properties of brain tissue can have on learning and memory. In particular, we focus on the dendritic plasticity. We present a model where the tissue is represented by a two-dimensional grid and its structure is characterized by various connections between the grid cells. We provide a formal definition of the model and we prove it to be computational as strong as the Turing machine. An adaptation algorithm proposed enables the model to reflect the environmental feedback, while evolutionary algorithms are employed to search for a satisfactory architecture of the model. Implementation is provided and several experiments are driven to demonstrate the key properties of the model. Powered by TCPDF (www.tcpdf.org)
|
|
|
Lived experience of an artwork as a scientific and methodological problem: new challenges of "the science of subjectivity" based on neuroscience and phenomenology
Grygarová, Dominika ; Rakušanová, Marie (advisor) ; Horáček, Jiří (referee) ; Hampejs, Tomáš (referee)
The presented dissertation deals with the topic of scientific research of experience/lived experience of works of art, using the methods of cognitive sciences and phenomenology. The work selectively summarizes the current research of such experiences in the field of history and theory of art, but especially in the field of cognitive neuroscience of art. The work identifies a fundamental reduction of experiencing art works caused by the epistemology, methodology and concepts of cognitive sciences embedded in cognitivism. Furthermore, the dissertation theoretically considers the possibilities of interdisciplinary collaboration with phenomenology, which, in turn, describes the experience non-reductively, from a first-person perspective. The dissertation identifies the basic conceptual problems of this interdisciplinary project and proposes a solution using neurophenomenology. In its experimental part, the dissertation presents some results of my own neuroimaging studies, which examined the experiences of viewers while viewing art works, both in terms of specific results and in terms of methodology. Finally, I will present a proposal for a new neuroimaging experiment inspired by neurophenomenology, which will use phenomenological introspective and interviewing methods in combination with objective...
|
|
|
Victor Burgin: The Environment of Photography
Hrabina, Martin ; Lahoda, Vojtěch (advisor) ; Rakušanová, Marie (referee)
The dissertation is following both theoretical and practical sides of Victor Burgin's early work. The structure of this thesis mainly reflects a hybrid attitude of the artist/theorist - the text digress from theoretical comments to related art works which are arranged chronologically. The principal focus lies in Burgin's concers for ideological, social and cultural impacts of photographic advertising practice in Great Britain during the 1970s which he assesed through theories derived from marxism, semiology and psychoanalysis. Keywords: Victor Burgin, photography theory, minimal art, conceptual art, cognitive science, semiotics, modernism, postmodernism, LEF (Left Front of the Arts), marxism, psychoanalysis, feminism
|
|
|
Spatial modeling of brain tissue
John, Pavel ; Neruda, Roman (advisor) ; Brom, Cyril (referee)
Neural connections in the human brain are known to be modified by experiences. Yet, little is known about the mechanism of the modification and its implications on the brain function. The aim of this thesis is to investigate what impact the spatial properties of brain tissue can have on learning and memory. In particular, we focus on the dendritic plasticity. We present a model where the tissue is represented by a two-dimensional grid and its structure is characterized by various connections between the grid cells. We provide a formal definition of the model and we prove it to be computational as strong as the Turing machine. An adaptation algorithm proposed enables the model to reflect the environmental feedback, while evolutionary algorithms are employed to search for a satisfactory architecture of the model. Implementation is provided and several experiments are driven to demonstrate the key properties of the model. Powered by TCPDF (www.tcpdf.org)
|
|
|
Design of an e-learning solution for the course 5FI404 – Cognitive Science
Klička, Lukáš ; Šubrta, Václav (advisor) ; Sigmund, Tomáš (referee)
This paper presents an e-learning solution used as supporting educational material for the subject 5FI404 - "Cognitive Science". In the theoretical part it summarizes the basic knowledge and principles from the field of e-learning and e-learning course design, which it then attempts to practically apply to the author's own e-learning solution. The first half of the paper focuses on theoretical aspects of planning of an e-learning course, its presentation to the user, user interface design and the possibility of using it to review learnt information. Principles used in individual chapters are discussed in detail so that their application in the practical part is understandable. The second half of this paper focuses on the author's own e-learning solution. The author presents an e-learning course meant to serve as support material for the subject "Cognitive science" at the University of Economics in Prague. Finally, the author analyzes the benefits of his solution and the possibilities of its practical application.
|
guest ::
