CORONET

Choreographing neural networks: coupling attractor dynamics and state-dependent computations across biomimetic brain interfaces with neuromorphic VLSI

 Coordinatore OTTO-VON-GUERICKE-UNIVERSITAET MAGDEBURG 

 Organization address address: UNIVERSITAETSPLATZ 2
city: MAGDEBURG
postcode: 39106

contact info
Titolo: Ms.
Nome: Marion
Cognome: Reske
Email: send email
Telefono: 493917000000
Fax: 493917000000

 Nazionalità Coordinatore Germany [DE]
 Totale costo 3˙496˙400 €
 EC contributo 2˙665˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2009-6
 Funding Scheme CP
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-01-01   -   2015-06-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    OTTO-VON-GUERICKE-UNIVERSITAET MAGDEBURG

 Organization address address: UNIVERSITAETSPLATZ 2
city: MAGDEBURG
postcode: 39106

contact info
Titolo: Ms.
Nome: Marion
Cognome: Reske
Email: send email
Telefono: 493917000000
Fax: 493917000000

DE (MAGDEBURG) coordinator 0.00
2    ISTITUTO SUPERIORE DI SANITA

 Organization address address: Viale Regina Elena 299
city: ROMA
postcode: 161

contact info
Titolo: Dr.
Nome: ROSA MARIA
Cognome: MARTOCCIA
Email: send email
Telefono: +39 06 49902688
Fax: +39 06 49903007

IT (ROMA) participant 0.00
3    SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE

 Organization address address: VIA BONOMEA 265
city: TRIESTE
postcode: 34136

contact info
Titolo: Mr.
Nome: Gabriele
Cognome: Rizzetto
Email: send email
Telefono: +39 040 3787 201
Fax: +39 040 3787 249

IT (TRIESTE) participant 0.00
4    TECHNION ISRAEL INSTITUTE OF TECHNOLOGY

 Organization address address: SENATE BUILDING TECHNION CITY
city: HAIFA
postcode: 32000

contact info
Titolo: Mr.
Nome: Jack
Cognome: Lavan
Email: send email
Telefono: +972 4 8293097
Fax: +972 4 8293097

IL (HAIFA) participant 0.00
5    TECHNISCHE UNIVERSITAET DRESDEN

 Organization address address: HELMHOLTZSTRASSE 10
city: DRESDEN
postcode: 1069

contact info
Titolo: Ms.
Nome: Katja
Cognome: Böttcher
Email: send email
Telefono: +49 351 463 39740
Fax: 4935150000000

DE (DRESDEN) participant 0.00
6    UNIVERSITAET ZUERICH

 Organization address address: Raemistrasse 71
city: ZURICH
postcode: 8006

contact info
Titolo: Dr.
Nome: David
Cognome: Lawrence
Email: send email
Telefono: +41 44 6353059
Fax: +41 44 6345351

CH (ZURICH) participant 0.00
7    UNIVERSITAT POMPEU FABRA

 Organization address address: PLACA DE LA MERCE 10-12
city: BARCELONA
postcode: 8002

contact info
Titolo: Mrs.
Nome: Eva
Cognome: Martín García
Email: send email
Telefono: +34 93 542 21 40
Fax: +34 93 542 14 40

ES (BARCELONA) participant 0.00

Mappa


 Word cloud

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neocortex    multiple    vlsi    efficient    time    collective    biomimetic    vivo    components    integrate    neuromorphic    interface    hardware    networks    tissues    artifacts    dynamical    steering    sensory    experimental    electrical    theoretical    tissue    neural    brain    intrinsic    nnwe    attractor    neurons    capacity    machine    vitro    scales    dynamics   

 Obiettivo del progetto (Objective)

This project lays theoretical and technological foundations for future biohybrid and brain-machine-interface devices, taking advantage of recent progress in our theoretical understanding of brain, in-vivo and in-vitro electrophysiology, and biomimetic hardware components (neuromorphic VLSI). If successful, the project will interface biomimetic hardware devices seamlessly with neural tissues and, what is more, will deliver theories and technologies for future artifacts that integrate, functionally and physically, into functioning brain systems.nnWe hold that the basis of neural representation and processing are discrete and repeating states of collective activity ('attractor states'). Thus, an efficient interface with neural tissue must take into account this spontaneous intrinsic dynamics. We argue that the most efficient and least traumatic way to influence perception, movement, and behavior in general will be to operate by enhancing the probability that collective activity visits certain desired states.nnBiasing the internal dynamics with gentle perturbations is a key tenet of the proposed project, both as a high road to understanding the dynamical processes unleashed by direct electrical stimulation of neural tissue, and as a philosophical stance on how artifacts should interact with the neural realm. In contrast, the mainstream approach to BMI (brain-machine interfaces) simply inserts electrical signals into the brain, imposing abnormal activity states and disrupting the intrinsic activity dynamics.nnWe will develop the capacity for gently steering the dynamics of neural systems in two complementary experimental set-ups: large-scale networks of cortical neurons cultured in-vitro, and sensory neocortex of awake and behaving rats. By steering the activity dynamics of sensory neocortex it in-vivo, we will also demonstrate the capacity for controlling the animals' performance in sensory choice tasks.nnA prerequisite for steering is the capacity to recognize dynamical states of neural tissues. A significant theoretical and experimental effort is dedicated to that effect. Once this is achieved, we will be ready to face the ultimate goal of performing the readout by biomimetic networks with intrinsic dynamics over multiple time-scales. When interfaced with neural tissue, such networks can couple with the neural attractor dynamics and state-dependent processing, classifying activity trajectories that are nested over multiple time-scales.nnTo realize biomimetic networks in hardware, the state-of-the-art in neuromorphic VLSI will be advanced through improved 'microscropic' components (integrate-and-fire neurons and synapses), novel 'mesoscopic' components (nodes with multi-stable dynamics), and more realistic connection topologies. Control and communication infrastructures will be subsumed into a largely autonomous system-on-chip ('NeuroSoC').

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