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21 results for  Padraig Gleeson.
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Padraig Gleeson

Padraig Gleeson ... Cerebellar Cortex, Electrical Synapses, Ion Channels, Literature, Neocortex, Neural Conduction, Neurosciences, modelling, C. elegans, microcircuit, computational neuroscience ...

The NeuroML C. elegans Connectome

To do so, we have leveraged the NeuroML standard (Gleeson et al., 2010), a language for describing ... Tim Busbice, Padraig Gleeson, Sergey Khayrulin, Matteo Cantarelli, Alexander Dibert, Giovanni Idili ...

OpenWorm: an open-science approach to modelling Caenorhabditis elegans

OpenWorm is an international collaboration with the aim of understanding how the behaviour of ... Balazs Szigeti, Padraig Gleeson, Michael Vella, Sergey Khayrulin, Andrey Palyanov, Jim Hokanson ...

neuroConstruct: a tool for modeling networks of neurons in 3D space.

Conductance-based neuronal network models can help us understand how synaptic and cellular mechanisms underlie brain function. However, these complex ... Padraig Gleeson, Volker Steuber, R Angus Silver ...

Rapid desynchronization of an electrically coupled interneuron network with sparse excitatory synaptic input.

Electrical synapses between interneurons contribute to synchronized firing and network oscillations in ... Koen Vervaeke, Andrea Lorincz, Padraig Gleeson, Matteo Farinella, Zoltan Nusser, R Angus Silver ...

Interoperability of neuroscience modeling software: current status and future directions.

Neuroscience increasingly uses computational models to assist in the exploration and interpretation ... Robert C Cannon, Marc-Oliver Gewaltig, Padraig Gleeson, Upinder S Bhalla, Hugo Cornelis, Michael L ...

Updated energy budgets for neural computation in the neocortex and cerebellum.

The brain's energy supply determines its information processing power, and generates functional imaging signals. The energy use on the different ... Clare Howarth, Padraig Gleeson, David Attwell ...

Reducing duplication and redundancy in declarative model specifications

to create standalone executable units. References 1. Gleeson P, Crook S, Cannon RC, Hines ML ... Robert Cannon, Padraig Gleeson, Sharon Crook, Angus Silver ...

libNeuroML and PyLEMS: using Python to combine imperative and declarative modelling approaches in computational neuroscience

NeuroML is an XML-based model description language, which provides a powerful common data format for ... Crook, Andrew P. Davison, Gautham Ganapathy, Hugh P. C. Robinson, R. Angus Silver, Padraig Gleeson ...

Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models

by and for the community, such as NeuroML (Gleeson et al., 2010), PyNN (Davison et al., 2008) and ... Yann Le Franc, Andrew P Davison, Padraig Gleeson, Fahim T. Imam, Birgit Kriener, Stephen D Larson ...

A thalamocortical network model in NeuroML

models. The most recent version of this language (Gleeson et al., 2010) can be used to express ... Padraig Gleeson, Matteo Farinella, Guy O Billings, Angus R Silver ...

LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2

Computational models are increasingly important for studying complex neurophysiological systems. As ... Robert C Cannon, Padraig Gleeson, Sharon Crook, Gautham Ganapathy, Boris Marin, Eugenio Piasini, R ...

NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

Biologically detailed single neuron and network models are important for understanding how ion ... Padraig Gleeson, Sharon Crook, Robert C Cannon, Michael L Hines, Guy O Billings, Matteo Farinella ...

Desynchronization of an electrically coupled interneuron network with excitatory synaptic input

It is well established that the electrical synapses made between interneurons contribute to their ... Koen Vervaeke, Andrea Lorincz, Padraig Gleeson, Matteo Farinella, Zoltan Nusser, R. Angus Silver ...

Interoperable model components for biologically realistic single neuron and network models implemented in NeuroML

There is now a wealth of detailed experimental data on the subcellular mechanisms underlying neuronal firing behaviour. Understanding how ... Padraig Gleeson, Sharon Crook, Simon Barnes, Angus Silver ...

An integration layer for neural simulation: PyNN in the software forest

Following the principle of separation of concerns, there is a trend in the development of neural simulation ... Mikael Djurfeldt, Jochen Martin Eppler, Padraig Gleeson, Michael Hull, Eilif Benjamin Muller ...

Information scaling, efficiency and anatomy in the cerebellar granule cell layer.

A key challenge in neuroscience is to understand the relationship between the structure of neural circuits and their function ... Guy Billings, Andrea Lorincz, Padraig Gleeson, Zoltan Nusser, Angus Silver ...

NineML: declarative, mathematically-explicit descriptions of spiking neuronal networks

The growing number of spiking neuronal network models has created a need for standards and ... Davison, Erik De Schutter, Mikael Djurfeldt, Padraig Gleeson, Sean Hill, Mike Hines, Birgit Kriener, Yann Le ...

Bridging the gap between Computational Neuroscience and Systems Biology modelling

The increasing use of computational models as a tool for understanding complex neuronal phenomena has led to a number of initiatives that ... Padraig Gleeson, Sharon Crook, Robert Cannon, R Angus Silver ...

Neuroscience Gateway – Cyberinfrastructure Providing Supercomputing Resources for Large Scale Computational Neuroscience Research

Past few decades have seen tremendous growth in computational neuroscience. This is reflected in the scientific literature with the emergence of new journals devoted to theoretical and computational ...

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