1.

Record Nr.

UNINA9910678586203321

Titolo

Gamification : Analysis, Design, Development and Ludification / / edited by Ioannis Deliyannis, Vaia Tzori, Athanasios Koutsouridis

Pubbl/distr/stampa

[Place of publication not identified] : , : IntechOpen, , 2023

ISBN

1-80356-261-7

Descrizione fisica

1 online resource (176 pages)

Disciplina

418.0078

Soggetti

Gamification

Video games in education

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

11552 This book examines how gamification is designed and implemented today, particularly within our transmedia world. This process requires balancing the narrative elements and the gamification mechanics used within the scenario that leads to the target objectives. Therefore, it is important to examine how exemplar case studies have been developed to learn from those implementations and advance this research and applications in this area. We approach the interdisciplinary design of gamified systems both as a deterministic and a creative process. From the deterministic perspective, one must design the system functionality as well as the rules and the mechanics that govern the functionality. However, the creative process is often an important factor for the success of an implementation. This includes all aspects of a gamified system, including its aesthetics, storyline and narration, and in more technologically advanced systems that are not limited to one medium. An important development in the field is the ability to use both gamification and ludification techniques within an implementation, a process that can create systems that are enjoyable and can dress up the scenario in our attempt to reach a state of "Flow"(In Csikszentmihalyi's words, flow is "a state in which people are so involved in an activity that nothing else seems to matter; the experience is so enjoyable that people will continue to do it even at



great cost, for the sheer sake of doing it"). Contemporary gamified systems utilize a wide variety of technologies that allow the extension from cross-media to transmedia scenarios. The availability of so many technologies and media platforms that one may use to design a gamified process is phenomenal, extending our capacity to create new gamified realizations that were not possible in the past as they can combine the complete reality-virtuality continuum.

2.

Record Nr.

UNINA9910337954303321

Titolo

Computational Glioscience / / edited by Maurizio De Pittà, Hugues Berry

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-00817-7

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (509 pages)

Collana

Springer Series in Computational Neuroscience, , 2197-1900

Disciplina

611.0188

Soggetti

Neurosciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Part 1. Introduction -- A Neuron-Glial perspective for computational neuroscience -- Part 2. Calcium dynamics -- Data-driven modelling of the inositol trisphosphate receptor and its role in calcium induced calcium release -- Intracellular calcium dynamics: biophysical and simplified models -- Modeling of stochastic Ca2+ signals -- G protein-coupled receptor-mediated astrocytic Ca2+ signaling in astrocytes -- Emergence of regular and complex calcium oscillations by inositol 1,4,5-trisphosphate signaling in astrocytes -- Astrocyte networks and intercellular calcium propagation -- Part 3. Tripartite Synapse and regulation of network activity -- Tripartite synapses and regulation of synaptic plasticity -- Purinergic signaling at tripartite synapses -- Gliotransmitter exocytosis and its consequences on synaptic transmission -- Computational models of pathophysiological glial activation in CNS disorders -- Part 4. Homeostasis and Metabolic



coupling -- The role of astrocytes in neurotransmitter uptake and brain metabolism -- Glutamate uptake -- Astrocytic ion dynamics: Implications for potassium buffering and liquid flow -- Constraint-Based Modeling of Metabolic Interactions in and between Astrocytes and Neurons -- Part 5. Computational Tools to Analyze and Model Astrocyte Experiments -- Computational models of astrocytes and astrocyte-neuron interactions: Characterization, reproducibility, and future perspectives -- GECIquant: semi-automated detection and quantification of astrocyte intracellular Ca2+ signals monitored with GCaMP6f -- Modeling neuron-glia interactions with the Brian 2.0 simulator.

Sommario/riassunto

Over the last two decades, the recognition that astrocytes - the predominant type of cortical glial cells - could sense neighboring neuronal activity and release neuroactive agents, has been instrumental in the uncovering of many roles that these cells could play in brain processing and the storage of information. These findings initiated a conceptual revolution that leads to rethinking how brain communication works since they imply that information travels and is processed not just in the neuronal circuitry but in an expanded neuron-glial network. On the other hand the physiological need for astrocyte signaling in brain information processing and the modes of action of these cells in computational tasks remain largely undefined. This is due, to a large extent, both to the lack of conclusive experimental evidence, and to a substantial lack of a theoretical framework to address modeling and characterization of the many possible astrocyte functions. This book that we propose aims at filling this gap, providing the first systematic computational approach to the complex, wide subject of neuron-glia interactions. The organization of the book is unique insofar as it considers a selection of “hot topics” in glia research that ideally brings together both the novelty of the recent experimental findings in the field and the modelling challenge that they bear. A chapter written by experimentalists, possibly in collaboration with theoreticians, will introduce each topic. The aim of this chapter, that we foresee less technical in its style than in conventional reviews, will be to provide a review as clear as possible, of what is “established” and what remains speculative (i.e. the open questions). Each topic will then be presented in its possible different aspects, by 2-3 chapters by theoreticians. These chapters will be edited in order to provide a “priming” reference for modeling neuron-glia interactions, suitable both for the graduate student and the professional researcher.