Gianmarco Tiddia

Scalable construction of spiking neural networks using up to thousands of GPUs

Bruno Golosio, Gianmarco Tiddia, José Villamar, L. Pontisso et autres

Abstract Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex systems at scale on high-performance computing clusters demands efficient management of communication and memory. Inspired by the human cerebral …

it, de, us, gb (code pays fourni par la source)

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs archive

Gianmarco Tiddia, José Villamar, Bruno Golosio, L. Pontisso et autres

Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex systems at scale on high-performance computing clusters demands efficient management of communication and memory. Inspired by the human cerebral cortex …

it, de, gb (code pays fourni par la source)

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs archive

Gianmarco Tiddia, José Villamar, Bruno Golosio, L. Pontisso et autres

Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex systems at scale on high-performance computing clusters demands efficient management of communication and memory. Inspired by the human cerebral cortex …

it, de, gb (code pays fourni par la source)

NEST GPU 2.0

Bruno Golosio, Gianmarco Tiddia, José Villamar, L. Pontisso et autres

NEST GPU is an open-source simulator designed for large-scale spiking neuron networks. The simulator is written in CUDA-C++, multi-GPU simulations are supported through MPI, and simulations can be defined through a Python interface.For further information visit: https://nest-gpu.readthedocs.io/ Release notes are available at: …

it, de, gb (code pays fourni par la source)

NEST GPU 2.0

Bruno Golosio, Gianmarco Tiddia, José Villamar, L. Pontisso et autres

NEST GPU is an open-source simulator designed for large-scale spiking neuron networks. The simulator is written in CUDA-C++, multi-GPU simulations are supported through MPI, and simulations can be defined through a Python interface.For further information visit: https://nest-gpu.readthedocs.io/ Release notes are available at: …

it, de, gb (code pays fourni par la source)

Constructive community race: full-density spiking neural network model drives neuromorphic computing

Johanna Senk, Anno Christopher Kurth, Steve B. Furber, Tobias Gemmeke et autres

Abstract The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a model was proposed representing all neurons and synapses of the stereotypical cortical …

gb, de, it (code pays fourni par la source)

Constructive community race: full-density spiking neural network model drives neuromorphic computing

Johanna Senk, Anno Christopher Kurth, Steve B. Furber, Tobias Gemmeke et autres

de (code pays fourni par la source)

A Graph Neural Network Approach to Study the Human Connectome in Male Individuals with Autism Spectrum Disorders

Giuseppe Antonio Motisi, Francesca Lizzi, Francesca Mainas, Gianmarco Tiddia et autres

it (code pays fourni par la source)

Modeling and simulating two-compartment neuron model with NESTML on NEST GPU

Pooja Babu, Charl Linssen, Elena Pastorelli, Pier Stanislao Paloucci et autres

NESTML is a domain-specific language for spiking neuron models and synaptic plasticity rules. It is designed to support researchers in computational neuroscience by allowing them to specify models in a precise and intuitive way [1]. These models can subsequently be used in …

Short-term plasticity-based working memory spiking model is resilient to synaptic heterogeneity

Gianmarco Tiddia, Luca Sergi, Simone Rubiu, Antonio Incollu et autres

Version of the working memory spiking network model used to produce the simulations of the publication: Tiddia G, Sergi L, Rubiu S, Incollu A, & Golosio B. Short-term plasticity-based working memory spiking model is resilient to synaptic heterogeneity. Phys. Rev. E.

it (code pays fourni par la source)

Short-term plasticity-based working memory spiking model is resilient to synaptic heterogeneity

Gianmarco Tiddia, Luca Sergi, Simone Rubiu, Antonio Incollu et autres

Version of the working memory spiking network model used to produce the simulations of the publication: Tiddia G, Sergi L, Rubiu S, Incollu A, & Golosio B. Short-term plasticity-based working memory spiking model is resilient to synaptic heterogeneity. Phys. Rev. E.

it (code pays fourni par la source)

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs archive

Gianmarco Tiddia, José Villamar, Bruno Golosio, L. Pontisso et autres

Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex systems at scale on high-performance computing clusters demands efficient management of communication and memory. Inspired by the human cerebral cortex …

it, de, gb (code pays fourni par la source)