Quando: 18 febbraio 2025 alle ore 17:30

Dove: Aula Magna della Clinica Neurologica oppure online su piattaforma Zoom (https://unipd.zoom.us/j/88122453021)

The post Connectomic view of neuro-oncology and neuro-surgical implications appeared first on PNC.

Quando: 11 febbraio 2025 alle ore 17:30

Dove: Aula Magna della Clinica Neurologica oppure online su piattaforma Zoom (https://unipd.zoom.us/j/88575019107)

2025-02-11 – Monica Ferlisi

The post Stato epilettico nell’adulto: Trattamento generale e dei casi “de novo” appeared first on PNC.

Quando: 4 febbraio 2025 alle ore 17:30

Dove: Aula Magna della Clinica Neurologica oppure online su piattaforma Zoom (https://unipd.zoom.us/j/88575019107)

2025-02-04 – Miryam Carecchio

The post La neurogenetica dei disturbi del movimento appeared first on PNC.

When: January 30, 2025, at 3:00 pm

Where: Sala Seminari VIMM (Fondazione per la Ricerca Biomedica Avanzata Onlus, Via Orus 2, Padova)

Abstract: Information storage in the brain, as well as adaptation of neural circuits to external stimuli, rely on restless rearrangement of synaptic connections. Moreover, synapses adjust their strength by varying their molecular composition. Despite the obvious importance of these phenomena, the use of specific tools to study them has been sporadic. Appropriate genetically encoded reporters and probes can help to fill this gap in terms of both imaging and determination of the molecular composition of synapses.

During my talk, I will discuss my most recent effort in this regard, which are based on the in vivo use of recombinant proteins for synapse visualization and for the isolation of the synaptome in specific activation states.

By using behavioral paradigms of hippocampus-dependent learning, my results contribute to elucidate whether specific hotspots for synaptic plasticity exist and to determine the changes in the molecular composition of synapses that support learning and memory.

2025-01-30 – Marco Mainardi

The post Towards a circuit-specific cartography and molecular fingerprinting of synaptic plasticity appeared first on PNC.

Quando: 28 gennaio 2025 alle ore 17:30

Dove: Aula Magna della Clinica Neurologica oppure online su piattaforma Zoom (https://unipd.zoom.us/j/88575019107) 2025-01-28 – Andrea Cortese

The post Update sulla genetica e le terapie delle malattie neuromuscolari appeared first on PNC.

Quando: 21 gennaio 2025 alle ore 17:30

Dove: Aula Magna della Clinica Neurologica

2025-01-21 – Alessandro Padovani

The post La neurologia del futuro: dal “brain health” alla complessità appeared first on PNC.

When: 11 December 2024, h. 5:30 pm

Where: 1AD100, Torre Archimede

Abstract: Recent years have brought tremendous progress in the fields of artificial intelligence and neuroscience, however, a comprehensive framework to explain the computational principles of complex cognitive function and flexible behavior is still lacking. Addressing the complexity within large-scale, multi-area neuronal recordings with simultaneous monitoring of behavioral variables demands novel and deeper connections between the different axes of theoretical neuroscience. In this talk, I will review current approaches and highlight challenges in the upcoming NeuroAI field with particular focus on the following questions: i) What kind of dynamical systems can explain the complex spatiotemporal features of naturalistic animal behavior? ii) What new physical ingredients should recurrent neural networks incorporate to explain the richness observed in large-scale neural activity during behavior? iii) What is the geometry of neural representations in animal brains and how is it related to the geometry of deep learning? Finally, I will show some recent work in my lab showing how the optimal cognitive function known as the Yerkes-Dodson law of psychology relies on a phase transition occurring in sensory cortical circuits.

2024-12-11 – Luca Mazzucato

The post Theoretical neuroscience: the geometry and dynamics of behavior, cognition, and learning appeared first on PNC.

When: November 28, 2024, at 3:00 pm

Where: Sala Seminari VIMM (Fondazione per la Ricerca Biomedica Avanzata Onlus, Via Orus 2, Padova)

Abstract: Cognitive science of language has been dominated for decades by innatism based on generative grammar theory. More recent years have seen a renaissance of models based on (statistical) learning only, leading to positions which I dub neo-behavioralist. These positions are recently even more popular, partially boosted by recent developments of AI large language models. Within this debate, prediction and sensitivity to rhythmicity and regularities of language play a significant role in models of language processing, tightly linked to theories of system neurosciences. I will present some of my current research on prediction, repetition, and entrainment in language processing at the sentence level. I will also try to persuade the audience that it is time to abandon strict ideological position on nature/nurture dualism.

2024-11-28 – Francesco Vespignani

The post Rhythms, entrainment, prediction, and repetition: what is special about language and the brain? appeared first on PNC.

“Aggregazione e armonizzazione di dati retrospettivi e prospettici di neuroimmagini, clinici e comportamentali relativi a ictus, glioma e malattia di Parkinson” (in English: “Aggregate and harmonise retrospective and prospective neuroimaging, clinical and behavioural stroke, glioma and Parkinson’s data”), Research Supervisor Prof. Maurizio Corbetta

Purpose of the Research Grant

The purpose of this Research Grant, which is funded by the European Union in the framework of the Horizon Europe project “EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health”, Principal Investigator Prof. Maurizio Corbetta, is to grant research into:

The EBRAINS project (European Brain Research Infrastructures, https://www.ebrains.eu/) is an innovative collaborative research infrastructure created with the aim of advancing and accelerating scientific progress in the field of neuroscience and Brain Health. This innovative platform, derived from the Human Brain Project (HBP), is an ecosystem in which researchers, clinicians, and experts from various disciplines converge to explore and analyse the complexity of the brain at various scales, from the molecular and cellular level to whole organ functioning and the implications on human behaviour and disease. The ambition of EBRAINS is to create a new standard for brain atlases from the micro- to the macro-scale, integrating clinical, demographic and brain connectivity data (connectomes) from healthy and pathological brains; to create digital twin brains through mathematical models enabling simulations of the effects of pathologies or brain stimulation; to serve as a preferred and competitive infrastructure for the use of neuroscience data according to FAIR (Findable, Accessible, Interoperable, Re-usable) principles.

Activity: The research fellow will play a pivotal role in aggregating and harmonizing extensive retrospective and prospective collections of neuroimaging, clinical, and behavioural data related to brain pathologies such as stroke, glioma, epilepsy, and Parkinson’s disease. S/He will systematically collect and integrate data from multiple centers around Europe, ensuring consistency and compatibility across diverse datasets. Responsibilities include initiating and coordinating prospective data collection using standardized protocols, conducting data cleaning and normalization, and developing workflows for the extraction and public release of imaging features from clinical datasets. The research fellow will process clinical neuroimaging data (structural MRI, DWI, fMRI) ensuring data anonymity and compliance with ethical guidelines. S/He will integrate processed imaging features into the EBRAINS platform, contributing to a centralized repository that fosters collaboration and accelerates advancements in neuroscience and clinical research. Eventually, the research fellow will help in the development and validation of predictive frameworks for clinical and behavioural outcomes. Close collaboration with neurologists, neuroscientists, data scientists, and other collaborators within the consortium is essential, as well as active participation in project meetings and contributing to the development of standardized EU consensus protocols for imaging and clinical assessments.

Profile: The ideal candidate has a background in neuroscience, or a related field. S/He has experience in neuroimaging data analysis, particularly with clinical datasets involving structural MRI, fMRI, DWI and is proficient in data integration and harmonization techniques for large-scale, multi-center datasets. Strong programming and scripting skills (Python, MATLAB, Bash) are highly desirable, along with knowledge of advanced analytical techniques such as machine learning, multivariate analysis, and statistical modeling. The candidate should be familiar with processing and analyzing clinical, and behavioral data related to neurological conditions and have experience in developing workflows and pipelines for data processing and feature extraction. Excellent communication skills, both written and verbal, are required, as well as the ability to work collaboratively in a multidisciplinary research environment.

Deadline for submitting applications

3 December 2024 at 1:00 pm CET

Selection Notice

Guidelines for Submitting Applications

Decree of Acts Approval and Ranking

The post Selection notice no 4 for the awarding of one position at the Padova Neuroscience Center in the framework of the Horizon Europe project “EBRAINS 2.0 appeared first on PNC.