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Topic: synaptic tagging and capture

ePoster
1 ePoster

In Biology and Computational Biology

ePoster · Computational Neuroscience

Plastic Arbor: a modern simulation framework for synaptic plasticity – from single synapses to networks of morphological neurons

Jannik Luboeinski, Sebastian Schmitt, Shirin Shafiee Kamalabad, Thorsten Hater, Fabian Bösch, Christian Tetzlaff · Bernstein Conference 2024

Arbor is a software library that serves to efficiently simulate large-scale networks of neurons with detailed morphological structure. It combines facilitated customization of neuronal and synaptic mechanisms with high-performance computing, enabling to use diverse backend architectures such as multi-core CPU and GPU systems [1]. On the one hand, many computational and experimental studies show the importance of diverse plasticity processes in shaping the dynamics of neuronal networks, being the basis of cognitive processes such as learning and memory. On the other hand, in recent years, stud