Angus Silver

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University College London, United Kingdom


Synaptic Physiology and Plasticity

Title of the talk:
Vesicle mobility and supply at a fast central synapse



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Angus Silver is a Wellcome Trust Principal Research Fellow, an ERC Advanced Investigator and Professor of Neuroscience at University College London. He studied Physical Science as an undergraduate and during his PhD at UCL he investigated the mechanisms underlying neuronal growth under Prof. Bolsover. His postdoctoral work with Prof. Cull-Candy at UCL, and Prof Tomoyuki Takahashi in Japan, involved investigating the properties of synaptic glutamate receptors and synaptic transmission. He has developed several new statistical methods for studying synaptic function including a non-stationary fluctuation analysis method for studying synaptic channels and Multiple-Probability Fluctuation Analysis, a method for studying the quantal properties of central synapses. In 1997 he established his own lab at UCL to study synaptic transmission, synaptic integration and network processing. His most important scientific achievements include establishing several fundamental properties of central excitatory synapses, elucidating how neurons perform distinct mathematical operations and extending our understanding of the relationship between network structure and function. Several of these discoveries were made possible through his development of innovative new methods. His Lab is highly multidisciplinary with research that spans the fields of neurophysiology, microscope development and neuroinformatics.


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Angus Silvers research focuses on information processing in the brain. He combines both experimental and theoretical approaches to study the mechanisms underlying synaptic transmission, neuronal integration and signal processing in cerebellar and neocortical networks. He also develops new optical and neuroinformatics tools for studying brain function. These include an acousto-optic lens microscope for high speed 2-photon imaging of neuronal signalling in 3D space and software tools for building and analysing biologically detailed models of neurons and networks. He leads the international team that develops NeuroML, a language for defining models in computational neuroscience and the Open Source Brain initiative, a web-based repository of standardized models and a framework for collaborative modelling that is based on open source software development.


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