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Topic: modeling

Seminar
4 seminars

In Computational Neuroscience and Mathematical Modeling

Seminar · Neuroscience

Mapping the neural dynamics of dominance and defeat

Annegret Falkner · Princeton Neuroscience Institute, USA

Thu, Dec 12, 2024 · 12:15 UTC

Social experiences can have lasting changes on behavior and affective state. In particular, repeated wins and losses during fighting can facilitate and suppress future aggressive behavior, leading to persistent high aggression or low aggression states. We use a combination of techniques for multi-region neural recording, perturbation, behavioral analysis, and modeling to understand how nodes in the brain’s subcortical “social decision-making network” encode and transform aggressive motivation into action, and how these circuits change following social experience.

Seminar · Biomechanics

Computational and mathematical approaches to myopigenesis

C. Ross Ethier · Georgia Institute of Technology and Emory University

Tue, Aug 1, 2023 · 15:00 UTC

Myopia is predicted to affect 50% of all people worldwide by 2050, and is a risk factor for significant, potentially blinding ocular pathologies, such as retinal detachment and glaucoma. Thus, there is significant motivation to better understand the process of myopigenesis and to develop effective anti-myopigenic treatments. In nearly all cases of human myopia, scleral remodeling is an obligate step in the axial elongation that characterizes the condition. Here I will describe the development of a biomechanical assay based on transient unconfined compression of scleral samples. By treating the

Seminar · Neuroscience

Hidden nature of seizures

Premysl Jiruska · Charles University, Prague

Wed, Oct 5, 2022 · 18:00 UTC

How seizures emerge from the abnormal dynamics of neural networks within the epileptogenic tissue remains an enigma. Are seizures random events, or do detectable changes in brain dynamics precede them? Are mechanisms of seizure emergence identical at the onset and later stages of epilepsy? Is the risk of seizure occurrence stable, or does it change over time? A myriad of questions about seizure genesis remains to be answered to understand the core principles governing seizure genesis. The last decade has brought unprecedented insights into the complex nature of seizure emergence. It is now bel

Seminar · Computational Neuroscience

Reverse engineering Hydra

Adrienne Fairhall · University of Washington

Fri, Oct 8, 2021 · 15:50 UTC

Hydra is an extraordinary creature. Continuously replacing itself, it can live indefinitely, performing a stable repertoire of reasonably sophisticated behaviors. This remarkable stability under plasticity may be due to the uniform nature of its nervous system, which consists of two apparently noncommunicating nerve net layers. We use modeling to understand the role of active muscles and biomechanics interact with neural activity to shape Hydra behaviour. We will discuss our findings and thoughts on how this simple nervous system may self-organize to produce purposeful behavior.