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Relevant bibliographies by topics / Plasticità Hebbiana / Dissertations / Theses

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Dissertations / Theses on the topic 'Plasticità Hebbiana'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

GUIDALI, GIACOMO. "Cross-modal plasticity in sensory-motor cortices and non-invasive brain stimulation techniques: new ways to explore and modulate brain plasticity." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/306484.

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Nella presente tesi di dottorato, ho esplorato se fenomeni di apprendimento Hebbiano possano governare il funzionamento dei sistemi cross-modali e sensorimotori del cervello umano. A tal fine, durante il mio dottorato, ho sviluppato e testato due nuovi protocolli Paired Associative Stimulation (PAS), una classe di tecniche di stimolazione cerebrale non invasiva in cui una stimolazione sensoriale periferica viene ripetutamente accoppiata con un impulso di stimolazione magnetica transcranica (TMS) su un’area bersaglio al fine di indurre plasticità associativa Hebbiana. I due protocolli PAS prese

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2

Prosper, Antoine. "Hebbian and Homeostatic plasticity in the adult visual cortex." Electronic Thesis or Diss., Université Paris sciences et lettres, 2025. http://www.theses.fr/2025UPSLE005.

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Cette thèse explore comment la plasticité hebbienne et homéostatique coexistent dans le système visuel adulte. Bien que ces deux mécanismes aient été étudiés dans des modèles animaux et durant le développement, leur interaction chez l’adulte humain n’a, à notre connaissance, pas été examinée systématiquement. Nous testons ici directement, pour la première fois, l’interaction de ces deux formes de plasticité chez l’adulte. À cette fin, nous présentons trois expériences combinant diverses techniques expérimentales : psychophysique, électroencéphalographie (EEG) chez l’humain et imagerie fonction

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3

Soares, Cary. "Mechanisms of Synaptic Homeostasis and their Influence on Hebbian Plasticity at CA1 Hippocampal Synapses." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35508.

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Information is transferred between neurons in the brain via electrochemical transmission at specialized cell-cell junctions called synapses. These structures are far from being static, but rather are influenced by plasticity mechanisms that alter features of synaptic transmission as means to build routes of information flow in the brain. Hebbian forms of synaptic plasticity – long-term potentiation and long-term depression – have been well studied and are considered to be the cellular basis of learning and memory, although their positive feedback nature is prone to instability. Neurons are als

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4

Bartsch, Armin P. "Orientation maps in primary visual cortex a Hebbian model of intracortical and geniculocortical plasticity /." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=962125733.

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5

Ljaschenko, Dmitrij [Verfasser], Mafred [Gutachter] Heckmann, and Erich [Gutachter] Buchner. "Hebbian plasticity at neuromuscular synapses of Drosophila / Dmitrij Ljaschenko. Gutachter: Mafred Heckmann ; Erich Buchner." Würzburg : Universität Würzburg, 2014. http://d-nb.info/1108780482/34.

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6

Gasselin, Célia. "Plasticités hebbienne et homéostatique de l'excitabilité intrinsèque des neurones de la région CA1 de l'hippocampe=hebbian and homeostatic plasticity of intrinsic excitability in hippocampal CA1 neurons." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM5047.

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Pendant des décennies, la plasticité synaptique a été considérée comme le substrat principal de la plasticité fonctionnelle cérébrale. Récemment, plusieurs études expérimentales indiquent que des régulations à long terme de l’excitabilité intrinsèque participent à la plasticité dépendante de l’activité. En effet, la modulation des canaux ioniques dépendants du potentiel, lesquels régulent fortement l’excitabilité intrinsèque et l’intégration des entrées synaptiques, a été démontrée essentielle dans les processus d’apprentissage. Cependant, la régulation, dépendante de l’activité, du courant io

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7

Bouchacourt, Flora. "Hebbian mechanisms and temporal contiguity for unsupervised task-set learning." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066379/document.

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L'homme est capable d'utiliser des stratégies ou règles concurrentes selon les contraintes environnementales. Nous étudions un modèle plausible pour une tâche nécessitant l'apprentissage de plusieurs règles associant des stimuli visuels à des réponses motrices. Deux réseaux de populations neurales à sélectivité mixte interagissent. Le réseau décisionnel apprend les associations stimulus-réponse une à une, mais ne peut gérer qu'une règle à la fois. Son activité modifie la plasticité synaptique du second réseau qui apprend les statistiques d'évènements sur une échelle de temps plus longue. Lorsq

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8

Albers, Christian [Verfasser], Klaus [Akademischer Betreuer] Pawelzik, and Stefan [Akademischer Betreuer] Bornholdt. "Functional Implications of Synaptic Spike Timing Dependent Plasticity and Anti-Hebbian Membrane Potential Dependent Plasticity / Christian Albers. Gutachter: Klaus Pawelzik ; Stefan Bornholdt. Betreuer: Klaus Pawelzik." Bremen : Staats- und Universitätsbibliothek Bremen, 2015. http://d-nb.info/107560947X/34.

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9

Tully, Philip. "Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits." Doctoral thesis, KTH, Beräkningsvetenskap och beräkningsteknik (CST), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205568.

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Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. What dynamical phenomena exist to act together to balance such learning with information processing? What types of activity patterns do they underpin, and how do these patterns relate to our perceptual experiences? What enables learning and memory operations to occur despite such massive and cons

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10

Fiorentino, Domenico. "Interazione visuo-acustica e fenomeni di plasticità sinaptica: studio mediante un modello di rete neurale applicato al ventriloquismo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/4863/.

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11

Cappelli, Simona. "Modello di rete neurale per lo studio di fenomeni di integrazione visuoacustica in soggetti sani e patologici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3275/.

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L’integrazione multisensoriale è la capacità del sistema nervoso di utilizzare molteplici sorgenti sensoriali. Una tra le più studiate forme di integrazione è quella tra informazioni visive ed acustiche. La capacità di localizzare uno stimolo acustico nello spazio è un processo meno accurato ed affidabile della localizzazione visiva, di conseguenza, un segnale visivo è spesso in grado di “catturare” (ventriloquismo) o di incrementare (enhancement multisensoriale) la performance di localizzazione acustica. Numerose evidenze sperimentali hanno contribuito ad individuare i processi neurali e le

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12

Teichmann, Michael. "A plastic multilayer network of the early visual system inspired by the neocortical circuit." Universitätsverlag der Technischen Universität Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A31832.

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The ability of the visual system for object recognition is remarkable. A better understanding of its processing would lead to better computer vision systems and could improve our understanding of the underlying principles which produce intelligence. We propose a computational model of the visual areas V1 and V2, implementing a rich connectivity inspired by the neocortical circuit. We combined the three most important cortical plasticity mechanisms. 1) Hebbian synaptic plasticity to learn the synapse strengths of excitatory and inhibitory neurons, including trace learning to learn invariant rep

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13

Ljaschenko, Dmitrij. "Hebbian plasticity at neuromuscular synapses of Drosophila." Doctoral thesis, 2013. https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-90465.

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Synaptic plasticity determines the development of functional neural circuits. It is widely accepted as the mechanism behind learning and memory. Among different forms of synaptic plasticity, Hebbian plasticity describes an activity-induced change in synaptic strength, caused by correlated pre- and postsynaptic activity. Additionally, Hebbian plasticity is characterised by input specificity, which means it takes place only at synapses, which participate in activity. Because of its correlative nature, Hebbian plasticity suggests itself as a mechanism behind associative learning. Although it is c

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14

Kolodziejski, Christoph Markus. "Mathematical Description of Differential Hebbian Plasticity and its Relation to Reinforcement Learning." Doctoral thesis, 2009. http://hdl.handle.net/11858/00-1735-0000-000D-F171-5.

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15

Bartsch, Armin P. [Verfasser]. "Orientation maps in primary visual cortex : a Hebbian model of intracortical and geniculocortical plasticity / Armin P. Bartsch." 2000. http://d-nb.info/962125733/34.

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16

Kolodziejski, Christoph Markus [Verfasser]. "Mathematical description of differential Hebbian plasticity and its relation to reinforcement learning / vorgelegt von Christoph Markus Kolodziejski." 2009. http://d-nb.info/999318330/34.

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