The Human Brain Project: Parallel technologies for biologically accurate simulation of Granule cells

Giordana Florimbi, Emanuele Torti, Stefano Masoli, Egidio D'Angelo, Giovanni Danese, Francesco Leporati

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Studying and understanding human brain is one of the main challenges of 21st century scientists.The Human Brain Project was conceived for addressing this challenge in an innovative way, enabling collaborations between 112 partners spread in 24 European countries.The project is funded by the European Commission and will last until 2023.This paper describes the ongoing activity at one of the Italian units focused on innovative brain simulation through high performance computing technologies. Simulations concern realistic models of neurons belonging to the cerebellar cortex. Due to the level of biological realism, the computational complexity of this model is high, requiring suitable technologies. In this work, simulations have been conducted on high-end Graphical Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The first technology is used during model tuning and validation phases, while the latter allows to achieve real time elaboration, aiming at a possible development of embedded implantable systems. Simulations performance evaluations are discussed in the result section.

Original languageEnglish
JournalMicroprocessors and Microsystems
DOIs
Publication statusAccepted/In press - Jan 21 2016

Fingerprint

Brain
Neurons
Field programmable gate arrays (FPGA)
Computational complexity
Tuning
Processing

Keywords

  • Application specific processors
  • Cerebellar neuron simulation
  • European projects in digital systems design
  • FPGA
  • GPU
  • Neuromorphic elaboration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Artificial Intelligence

Cite this

The Human Brain Project : Parallel technologies for biologically accurate simulation of Granule cells. / Florimbi, Giordana; Torti, Emanuele; Masoli, Stefano; D'Angelo, Egidio; Danese, Giovanni; Leporati, Francesco.

In: Microprocessors and Microsystems, 21.01.2016.

Research output: Contribution to journalArticle

Florimbi, Giordana ; Torti, Emanuele ; Masoli, Stefano ; D'Angelo, Egidio ; Danese, Giovanni ; Leporati, Francesco. / The Human Brain Project : Parallel technologies for biologically accurate simulation of Granule cells. In: Microprocessors and Microsystems. 2016.
@article{aa421f3e68bf42899e659c6dad89d2a1,
title = "The Human Brain Project: Parallel technologies for biologically accurate simulation of Granule cells",
abstract = "Studying and understanding human brain is one of the main challenges of 21st century scientists.The Human Brain Project was conceived for addressing this challenge in an innovative way, enabling collaborations between 112 partners spread in 24 European countries.The project is funded by the European Commission and will last until 2023.This paper describes the ongoing activity at one of the Italian units focused on innovative brain simulation through high performance computing technologies. Simulations concern realistic models of neurons belonging to the cerebellar cortex. Due to the level of biological realism, the computational complexity of this model is high, requiring suitable technologies. In this work, simulations have been conducted on high-end Graphical Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The first technology is used during model tuning and validation phases, while the latter allows to achieve real time elaboration, aiming at a possible development of embedded implantable systems. Simulations performance evaluations are discussed in the result section.",
keywords = "Application specific processors, Cerebellar neuron simulation, European projects in digital systems design, FPGA, GPU, Neuromorphic elaboration",
author = "Giordana Florimbi and Emanuele Torti and Stefano Masoli and Egidio D'Angelo and Giovanni Danese and Francesco Leporati",
year = "2016",
month = "1",
day = "21",
doi = "10.1016/j.micpro.2016.05.015",
language = "English",
journal = "Microprocessors and Microsystems",
issn = "0141-9331",
publisher = "Elsevier",

}

TY - JOUR

T1 - The Human Brain Project

T2 - Parallel technologies for biologically accurate simulation of Granule cells

AU - Florimbi, Giordana

AU - Torti, Emanuele

AU - Masoli, Stefano

AU - D'Angelo, Egidio

AU - Danese, Giovanni

AU - Leporati, Francesco

PY - 2016/1/21

Y1 - 2016/1/21

N2 - Studying and understanding human brain is one of the main challenges of 21st century scientists.The Human Brain Project was conceived for addressing this challenge in an innovative way, enabling collaborations between 112 partners spread in 24 European countries.The project is funded by the European Commission and will last until 2023.This paper describes the ongoing activity at one of the Italian units focused on innovative brain simulation through high performance computing technologies. Simulations concern realistic models of neurons belonging to the cerebellar cortex. Due to the level of biological realism, the computational complexity of this model is high, requiring suitable technologies. In this work, simulations have been conducted on high-end Graphical Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The first technology is used during model tuning and validation phases, while the latter allows to achieve real time elaboration, aiming at a possible development of embedded implantable systems. Simulations performance evaluations are discussed in the result section.

AB - Studying and understanding human brain is one of the main challenges of 21st century scientists.The Human Brain Project was conceived for addressing this challenge in an innovative way, enabling collaborations between 112 partners spread in 24 European countries.The project is funded by the European Commission and will last until 2023.This paper describes the ongoing activity at one of the Italian units focused on innovative brain simulation through high performance computing technologies. Simulations concern realistic models of neurons belonging to the cerebellar cortex. Due to the level of biological realism, the computational complexity of this model is high, requiring suitable technologies. In this work, simulations have been conducted on high-end Graphical Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The first technology is used during model tuning and validation phases, while the latter allows to achieve real time elaboration, aiming at a possible development of embedded implantable systems. Simulations performance evaluations are discussed in the result section.

KW - Application specific processors

KW - Cerebellar neuron simulation

KW - European projects in digital systems design

KW - FPGA

KW - GPU

KW - Neuromorphic elaboration

UR - http://www.scopus.com/inward/record.url?scp=84971597254&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84971597254&partnerID=8YFLogxK

U2 - 10.1016/j.micpro.2016.05.015

DO - 10.1016/j.micpro.2016.05.015

M3 - Article

AN - SCOPUS:84971597254

JO - Microprocessors and Microsystems

JF - Microprocessors and Microsystems

SN - 0141-9331

ER -