GRIDMAP

Grid cells: From brains to technical implementation

 Coordinatore NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU 

 Organization address address: MTFS, NTNU, Olav Kyrres gate 9
city: Trondheim

contact info
Titolo: Mr.
Nome: Jens Fredrik
Cognome: Andersen
Email: send email
Telefono: +47 73598737

 Nazionalità Coordinatore Norway [NO]
 Totale costo 4˙346˙717 €
 EC contributo 2˙917˙961 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-9
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-03-01   -   2016-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU

 Organization address address: MTFS, NTNU, Olav Kyrres gate 9
city: Trondheim

contact info
Titolo: Mr.
Nome: Jens Fredrik
Cognome: Andersen
Email: send email
Telefono: +47 73598737

NO (Trondheim) coordinator 0.00
2    SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE

 Organization address address: VIA BONOMEA 265
city: TRIESTE

contact info
Titolo: Dr.
Nome: Luca
Cognome: Bardi
Email: send email
Telefono: +39 0403787201
Fax: +39 0403787249

IT (TRIESTE) participant 0.00
3    TECHNISCHE UNIVERSITAET MUENCHEN

 Organization address address: Arcisstrasse 21
city: MUENCHEN

contact info
Titolo: Ms.
Nome: Katrin
Cognome: Hörmann
Email: send email
Telefono: +49 89 289 22629
Fax: +49 89 289 22620

DE (MUENCHEN) participant 0.00
4    THE UNIVERSITY OF EDINBURGH

 Organization address address: OLD COLLEGE, SOUTH BRIDGE
city: EDINBURGH

contact info
Titolo: Ms.
Nome: Angela
Cognome: Noble
Email: send email
Telefono: +44 131 650 9039
Fax: +44 131 651 4028

UK (EDINBURGH) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

discovery    computer    fundamental    parallel    technologies    grid    principles    spatial    computers    massively    computing    recent    good    brain    interactive    cells   

 Obiettivo del progetto (Objective)

Since the invention of the first computers, their speed and computing power have grown exponentially but their fundamental operating principles remain essentially unchanged. Computers are still operating on one or a few central processing units, each with limited interconnectivity. Such processors, coupled with fast access to memory, are good for performing precisely instructed operations on large quantities of data very rapidly, but less effective in enabling the near instantaneous processing of the rapidly changing and ambiguous information that living interactive organisms are apparently so good at dealing with. With this in mind, it has been argued that computer technology would benefit from looking at how parallel computation is handled by the brain, nature ́s most advanced computer. Our recent discovery of a key mechanism for the neural mapping of space, using the metric encoded by 'grid cells', provides us with unprecedented direct-access to some of the fundamental operating principles of cortical circuits ‒ principles to which engineers need access for developing brain-inspired computing technologies. We shall use grid cells as an access ramp to understanding massively parallel-distributed spatial computations in sufficient detail to implement these basic working principles in computational architecture. Building on our recent breakthrough discovery, and guided by new brain experiments, computationally tractable algorithms will be tested in artificial navigating agents (robots), with the overall aim of identifying cardinal elements of future emerging technologies in the domain of spatial navigation and, more generally, in the development of massively parallel multi-core interactive computers. Because the expected long-term impacts are substantial, the project group will interact regularly with advisory panels on both IPR and man-machine ethics.

Altri progetti dello stesso programma (FP7-ICT)

S-Cube (2008)

Software Services and Systems Network (S-Cube)

Read More  

SemaGrow (2012)

SemaGrow: Data intensive techniques to boost the real-time performance of global agricultural data infrastructures

Read More  

QCS (2010)

Quantum Computer Science

Read More