BioMedCEP shaping for NBIS Call V0.91

parsimoniousknotΔίκτυα και Επικοινωνίες

16 Φεβ 2014 (πριν από 3 χρόνια και 5 μήνες)

77 εμφανίσεις

Includes comments from (see
http://forum.complexevents.com/viewtopic.php?f=13&t=316&p=1325#p1321

ff)

-

Dimitris Iakovidis 27 Dec 2011

-

Andrew Hunter 3 Jan 2012

-

Dimitris 4. Jan

-

Bernard de Bono 5. Jan

-

Dimitris 6. Jan

-

Bernard de Bono 6 Jan, 9 Jan

-

Wolfgang Maass 13 Jan

-

RvA 18 Jan

-
-
RvA 5 Feb SotA and What is Beyond materials

BioMedCEP shaping for NBIS Call
V0.91

Objective ICT
-
2011.9.11 NBIS




learn more about the relationship between
structure, dynamics and function in neuronal circuits and assemblies
, and


how information is
represented or “coded” in a brain.



develop deeper and more comprehensive
theories of neural processing
, possibly building on results obtained in the


domains of dynamic and complex systems
.



close the gap between neuroscience and engineering by motivating
interdisciplinary

work that ties data with
theories,


novel computing paradigms, models and implementations.

Target outcome




Developing and applying radically new neural recording, imaging
or interfacing concepts and designs for a deeper


understanding of neural information processing
.



New
multi
-
scale dynamical theories of neural representation
for the development of neuro
-
bio
-
ICT systems that can


perform high
-
level tasks (e.g. robust object recognition, or classification), going
beyond purely sensory
-
driven


information processing
.

Exocortex systems



Development and prototyping of
modular

brain
-
like computing architectures
that
combine neural processing


primitives

to give a
better understanding of brain function
and facilitate the design of
more complex processing


systems
for real
-
time and optimized performance.



World
-
class global research cooperation
and alliances in this area, and links with similar actions outside Europe,


in particular with participants from
USA

and
Japan
.

Expected impact


3 Target outcome in the case of IP:



New computing paradigms leading to advanced
bio
-
inspired sensing and processing systems
, which are
naturally


able to learn and adapt



New concepts leading to
new brain
-
computer interface technologies



Target outcome in the case of CSA:
New EU and global collaborations
between researchers in
multiple disciplines


spanning engineering, physical and life science domains

The
objectives

of NBIS are more IT
-

than Health
-
related. If the IT objectives are met it would be a “plus” to have an
impact on health, although it is not a requirement of the call.

Main idea
of NBIS is:



“Study, analyze, model brain function(s), not necessarily of a human brain, and use this/these models to build
artificial processing/sensing system(s) more efficient/effective than the state of the art ones, exploitable in the
framework of novel brain
-
computer interface technologies.”

Essence of the NBIS Call:

Middleware

Monitor /
Analyze

/
Act

Process

Modeler

Event

Modeler

Event

Store



analyse

history…

Low Level Event
Streams

Event Type
Adapters

Normalized

events
,

build

higher

level

events

Process

Engine

tbd
:
Process

Execution

Language

CEP Engine


tbd
: Event Processing

Language
for

U
-
CEP


IF …

AND …

FOLLOWED BY…

WITHIN…

ACTION

Event Processing

Model

e.g.
GPS
-
signal



Which

events


are

important
?



How

are

events


correlated
?



When

and

how



should

we

react
?

Process

Models

„unus
mundus“
-


Internet

services
and their
events

e.g. Traffic Message Controls

e.g. Weather Forecast

e.g. JMS
pub
/
sub

e.g. RFID …

Integration with other proposals:

e.g.
-

Ray Kurzweil: Singularity is Near / Henry Markram Blue
Brain

/


-

Bruce H. Lipton: Epigenetics


Intelligent
cells

/


-

Karlheinz Meier: Design, construction and Operation of a Neuromorphic


Computation facility


-

Plamen Simeonov Integral
Biomathics
,


-

Francois Képès, Marc Schoenauer : Using Evolution to compute


-

Kevin Warwick: Brain Computer Interface
-

Cyborg



Enhancing human intelligence and cognitive or physical abilities

connect humans to more events of the universe (e.g. also Internet of Things and Services, “smart dust”)

Extracellular receptors = event adapters

Intracellular effectors = Event Processing Agents

Protein
machinery







Protein


machinery







Intracellular effectors = Event Processing Agents

Intracellular effectors = Event Processing Agents

NeuroColumn








FET
-
F U
-
CEP presentation Jan,
June 2010

BioMedCEP and clinical applications

Carel Meskers/LUMC

BioMedCEP and clinical applications


U
-
CEP based automatic treatment

-

Biomarkers as complex event patterns, and therapeutics as (pre
-
) modelled processes

-

„Understanding“ and „rebooting“ the brain

-

Mind reading for clinical applications and for HETs

VPH
-
FET 2011, Marco Viceconti et al.

Paper 2012 Filippo Castiglione, Andrea Gaggioli et al „
Physio
-
environmental sensing and live modeling
based on U
-
CEP“

Biosensors and biomarkers, e.g.

BrainPort and CN
-
NINM

BCI as
interface

to

the brain

(
U Wisconsin / TCNL
)

Mind reading


based on

(complex) event patterns

BCI as
interface

from

the brain

U Würzburg, U Tübingen,

MPI Leipzig, UCLA, MIT, IBM…

http://www.silicon.de/technologie/mobile/0,39044013,41556997,00/gedanken_mal
en_am_computer_bilder.htm
,

BioMedCEP abstract


-
tbd



-

http://forum.complexevents.com/viewtopic.php?f=13&t=316&p=1332#p1330

-

http://www.citt
-
online.com/downloads/BioMedCEP
-
preprop_en.doc





BioMedCEP EPSS para. 1.1ff “State of the Art / What is Beyond”


1 Scientific and Technical Quality, Relevant to the Topics addressed by the Call

1.1 Concept and Objectives

1.2 Progress beyond the State
-
of
-
the
-
art


-
Tbd, this extended abstract/paper has to adapted or enhanced according to the Call/Objective




http://www.citt
-
online.de/downloads/3
-
Danilov
-
Tyler
-
Ammon
-
Etzion.pdf

+ e.g. enhancement of Erwin Vlugt about clinical applications and Ageing/Mobility of elder people, etc.


-
Tbd, overview comparison Brain projects and BioMedCEP positioning

-
http://forum.complexevents.com/viewtopic.php?f=13&t=257&p=1364#p1364





The basic workpackage structure of BioMedCEP

WP1

Management

WP2

Reference model +
reference

architecture

(
for

integrating

U
-
CEP, Brain Computer Brain Interfaces, BAN,
Quantum Computing
or

cogntive

comp
.
chips
, etc.)

WP6

Real
-
world clinical applications

WP3

(Complex Event) Processing, Analysis and Modeling

WP 4

Model
validation

WP9

Dissemination
and

Exploitation

WP7

Impact
assessment

WP6.2

De
-
pression

WP6.3

Diabetes

WP6.1

Ageing

WP6.4

Obesity

WP5.1

Sensitivity

Range

WP5.2

Add
senses


WP 5

Beyond

senses

BCI

WP8

Training

WP2 (Reference Model and Reference Architecture for the
BioMedCEP

approach):

RM
and

RA
integrate

U
-
CEP, Event
adapters
, Brain Computer Brain Interfaces, BAN, Quantum Computing
or

Cognitive

Comp. Chips,
etc

as

a
combined

technology

for

WP5.1 „
Enhancing

sensitivity

range

and

WP5.2 „Add
new

senses
“ via an
Exocortex
.

The term “reference model” could also mean the selection of the biological model which we would like to get inspired
from. If this is what it means then we should provide 2
-
3 justified alternatives.

So far,
BioMedCEP

uses the 6
-
layered
neuro
-
columns and the model that “old” or originally born event patterns are
stored on the lower levels, the acquired or “historical” event patterns are stored in the middle layers and current,

inflying
” events are processed on the top
-
level layer. Although the human brain can only process 120.000 events
per second unconsciously, and around 7 event patterns logically or consciously, but the performance comes from the
combination of the event patterns of several layers and the fact that event patterns are not processed every time
again. (more in our papers and references)

However, in the case of a “fault” in event processing (or trauma situations, etc.), this is the reason for diseases which
could be treated or healed with the proposed U
-
CEP based approach, what should be covered by WP6.

Comments wrt the Workpackages:

Andrew Hunter (Ulincoln): …the focus that now really makes sense for us is on sensor/signal interpretation, real
-
time, using
specialized parallel hardware (FPGA) and neurally
-
inspired architectures.


In the BRAINS project, funded by the UK's Trade and Strategy Board, we have built a neurally
-
inspired architecture that has a
number of modular computational capabilities, including collision detection, pattern recognition, anomaly detection and opera
tes

at
high
-
speed, low current
-
consumption and therefore suitable for portable and/or wearable devices, and because FPGA
-
based has
low reconfiguration/redesign costs. On the back of this we have built the world's first fully functional video
-
based security
surveillance system programmed solely on FPGA, incorporation the full pipeline of video decoding, filtering, feature extracti
on,

tracking, pattern recognition, anomaly detection of signal output.



We would therefore like to contribute to WP2 in the development of FPGA
-
based cognitive computing chips, the key concepts being:


Design a neurally
-
inspired architecture with an architecture sufficiently well
-
aligned with natural neuronal structure to allow

a
"sympathetic" mapping, while respecting the architectural differences of the hardware platform (a key realisation for us is t
hat

you
need to "respect the architecture" to make a really functional FPGA
-
based neural analogue);

Ensure the resulting specialized hardware
-
based architecture can be integrated directly with sensors on a wearable system, is lo
w
-
cost, low energy consumption and capable of massive computational demands on real
-
time scale, exploiting the FPGA inherently
parallel architecture;

Build neurally
-
inspired algorithms for signal translation/interpretation for this architecture.


WP3(Complex Event) Processing, Analysis and Modeling):

Signal and complex event processing/analysis from multisource data in order to get a deeper understand neural
information processing and build a novel dynamic model that would serve the simulation of complex dynamic
systems. This model should be able to solve more efficiently real
-
world problems.

Modelling approaches of (class) diagrams for thoughts or bio
-
markers will be some of the most challenging tasks in
the BioMedCEP project.

"Mind reading„ and

If we model a class diagram of "Thought" as software engineers, we would probably model it similarly to a
"
Notification Event Architecture of <domain>
" like NEAR for the Retail domain
-

as a
reference model of
"Thought"
, not of "Thinking", because a class diagram does not model dynamics.

The class diagram might become very complex, starting from a superclass of "Thought" with a lot of subclasses of
special thoughts or components (Gen/Spec) and their attributes and operations or methods and a lot of associations,
compositions, aggregations and so on... When we have this, we can define patterns and look for them in the brain
and map them to machines or robots and manage or control them via "just thinking". Or vice versa and enhance the
human by HET or by an exocortex as we have sketched it in our papers and references.


Mind reading and what a human is thinking
-

based on a catalogue of thoughts or thinking patterns correlated with
realtime fMRI brain activity patterns. The most challenging part is probably the modelling of the class diagram


We shall cooperate with other accordant projects from John Dylan
-
Haynes,
Max
-
Planck
-
Institute für Kognitions
-

und
Neurowissenschaften in Leipzig ,
UCLA's Laboratory of Integrative Neuroimaging Technology, etc.

See also the Comparison of neuro
-
science or brain projects
h
ttp://forum.complexevents.com/viewtopic.php?f=13&t=257&p=1312#p1301


The problem of modeling the context
:
What "context" or “world knowledge" means and why it is important as a
precondition to model and trigger the accordant (re
-
) actions based on complex event patterns…

When do we have to start on which level with modeling the context? Is there a
hierarchy of contexts

or a
relationship between contexts
?
How do we model context
? By UML and its class
-
, state
-

or activity diagrams?
Or directly as SQL
-
like or another EPL code
without any abstraction level
? We have to check what the "studios" of
all the CEP
-

or ed(B)PM platforms can offer or must be enhanced. There was also already an initiative of the OMG
(Jim Odell) to
standardize a notation
, but is not started yet. We should such standardizing make a task in
BioMedCEP.
http://forum.complexevents.com/viewtopic.php?f=13&t=252&start=20#p1317

This WP has to work not only on modelling notations but also on executable models
http://www.citt
-
online.com/downloads/EDBPM
-
workshop09.ppt
, slide 20, fig. 2 in http://www.citt
-
online.com/downloads/Integrating_Complex_Events_for_Collaborating_and_Dynamically_Changing_Business_Proc
esses_MONA_Final.pdf


Uncertainty modeling

(as also mentioned in Ch. 5 of the VPH
-
FET roadmap). We experiment with modeling
approaches from UAI (Uncertainty in Artificial Intelligence,
http://www.auai.org/
,
http://citeseerx.ist.psu.edu/viewdoc/do ... 1&type=pdf
,
http://citeseerx.ist.psu.edu/viewdoc/do ... 1&type=pdf
) as well
as the suggestion of a reference model for non
-
deterministic U
-
CEP applications (see workshop paper
Danilov/Tyler/Ammon/Etzion) and special aspects of uncertainty in the disciplin of CEP (Etzion/Niblett 2010).


Bernard de Bono:

knowledge representation (and associated visualization) of biological structure, and related disease mechanisms,
across multiple scales, as well as the use of ontology
-
based reasoning in support of discovering novel relations
between resources annotated by such ontologies. If this IP plans to manage clinically
-
related resources (i.e. models
and data), and to ensure that the modeling frameworks emerging from its effort is semantically interoperable with
standards being established by the VPH and Pharma community, then the application of the RICORDO metadata
infrastructure may have key contributions to offer to BioMedCEP. The newly
-
emerging ApiNATOMY toolkit is being
developed for a GUI to sit on top of the RICORDO infrastructure and provide a visual schematic of anatomy
ontologies (including, therefore, neuroanatomy) as a way to overview brain nuclei, pathways and associated
metadata. We are also in the early stage of applying RICORDO and ApiNATOMY in the knowledge
-
based resource
management of the Virtual Physiological Rat co
-
ordinated by Wisconsin


Wolfgang Maass:

It would be fun to see, whether some of our theories for spike based processing and learning could also be fruitful in
this expanded context.

http://scholar.google.com/scholar_url?hl=de&q=http://193.54.228.31/fr_vers/documents/thorpe_s_01_715.pdf&sa=X
&scisig=AAGBfm0NI
--
D7r024kKVfT9InkYrGNIGDA&oi=scholarr

http://scholar.google.com/scholar_url?hl=de&q=http://www.t35.ph.tum.de/addons/publications/Kempter
-
2001b.pdf&sa=X&scisig=AAGBfm2CyQgvivUYtfTUrw4DMZt7A0Vjuw&oi=scholarr

http://scholar.google.com/scholar_url?hl=de&q=http://neurophysics.huji.ac.il/~guetig/papers/guetig06.pdf&sa=X&scisi
g=AAGBfm2vzJudatx95o_e6ew1Eq4PFSuKPQ&oi=scholarr


http://www.em.mpg.de/index.php?id=281



Rainer von Ammon:

Perhaps this idea of spike based processing could be brought together/connected with indexing idea/problem (of Jeff
Hawkins On Intelligence 2005) of how to find the “stored” and already processed “historical” or acquired or a”already
born with” event patterns with the current inflying


events depending on the context or the situational conditions. Question is: how to retrieve and correlate event
patterns from the different 6 layers of the neocortex. What would spikes do?


Rainer von Ammon:

Another question in this connection might be where the memory or the memories (= stored event patterns?) is/are?

Neuroscientists identify a master controller of memory: When you
experience a new event
, your
brain encodes a
memory of it by altering the connections between neurons
. This requires turning on many genes in those
neurons. Now, neuroscientists at MIT’s McGovern Institute for Brain Research have identified what may be a
master
gene that controls this complex process
.

How would that be related to the theory of the six layers of the neurocolumns and where the "old" or "historically"
acquired event patterns are stored (on the lower levels) or the current events are processed (on the top levels)? (e.g.
Kevin Hawkins, On Intelligence, 2005). What would we find respectively what would be marked with the help of
Npas4?

http://forum.complexevents.com/viewtopic.php?f=13&t=257&p=1316#p1316

















Comments wrt the Workpackages:

WP4 (Model Validation):

This WP validates the theoretically based results of WP 3 and brings together the international key players of
relevant technologies as named in WP3. …



Comments wrt the Workpackages:

WP5 (Beyond Senses BCI)

We focus on enhancing the sensitivity range of a sense and adding new senses


through brain
-
computer interfaces
(BCI) exploiting the model developed in WP 3. This WP will develop and exploit an U
-
CEP based Exocortex and will
experiment with an approach to map such enhanced sensitivity ranges and additional senses to the limited event
processing capabilities of a human brain.

Examples might be to smell pollution or radioactivity via new body area networks, bio
-
sensors, event adapters, etc.,
as sketched
http://forum.complexevents.com/viewtopic.php?f=13&t=299

plus to (re
-
) act accordingly via (pre
-
)
modeled processes.

Another example might be to add a magnetic sense and to experiment with human behaviour and adapting brain
functioning (according to first hints from belt technology, see U Osnabrück).

More applications and examples for enhanced sensivity ranges and additional senses will be elaborated.


Comments wrt the Workpackages:

WP6 (Real
-
World Clinical Applications):

All clinical applications are organized in WP6 where we work on understanding the human brain and healing
diseases by changing the event processing of a human brain or to “reboot” a brain (see BrainPort, …) or to delete
“false event patterns” in the memory (see
http://forum.complexevents.com/viewtopic.php?f=13&t=257&start=10#p1316
). This is seen as

a “fault” in event processing (as a consequence of trauma situations, accidents, etc.), what is the reason for diseases
(balance, depression, …) which could be treated or healed with the proposed U
-
CEP based approach. To find
accordant “treatments” will also help to learn more about the brain and to find more functions and applications of
neuro
-
biologically inspired systems.

Typical, main health problems and diseases of the today’s society (like ageing, depression, diabetes, obesity) are
addressed. Each problem or disease represents a discriminant challenge of the BioMedCEP approach.




Comments wrt the Workpackages:

WP7 (Impact Assessment):

…. Insert your suggestions



Comments wrt the Workpackages:

WP8 (Training):

…. Insert your suggestions



Comments wrt the Workpackages:

WP9
(Dissemination and Exploitation)

…. Insert your suggestions

… isn’t exploitation already covered by WP5 and WP6??? So we should only focus on Dissemination with WP9???


Dimitris:

“Exploitation” usually refers to a formal viability study/exploitation plan that refers to the way the project’s results will

and can be exploited after the end of project e.g. commercial products, possible chain reaction of future research that
could be triggered etc.



Comments wrt the Workpackages:

UC1:
Enhancing

sensitivity

range

of

a sense:

Increasing

/
decreasing

sensitivity

range
,
How

to

map

to

the

brain
,
Superimposition

of

„normal“
events

by

new

events
, Will
the

brain

change

/
adapt
, Ego States /
Consciousness

/ Reality…
Applications

of

an
Exocortex

UC2:
Adding

new

senses
:

Applications

of

an
Exocortex
,
How

to

map

new

senses

to

the

brain
,
Superimposition

of

„normal“
events

by

new

events
,
Will
the

brain

change

/
adapt
, Ego States /
Consciousness

/ Reality…

BioMedCEP
-

Use Cases related to the Objectives, Outcomes and Impacts

-

Will be changed or deleted

UC3:
Learn

more

about

Ageing

and

the

brain

Substitute
typical

problems

or

diseases

wrt

Ageing
,
Provide

mobility

of

elder

people
,

<
insert

bullets
, …>

UC4:
Depression

as

a fault
of

event

processing

Treatments on
organ

level

and

cell
-

or

protein

level
,
change

metabolism

by

U
-
CEP
or

BioMedCEP

approach
,

<
insert

bullets
, …>

UC5:
Diabetes

and

new

treatments

based

on U
-
CEP
Biosensing

and

Biomarkers

Change
or

influence

thinking

and

behaviour
,
addiction
, Treatments on
organ

level

and

cell
-

or

protein

level
,
change

metabolism

by

U
-
CEP
or

BioMedCEP

approach
, <
insert

bullets
, …>

UC6:
Obesity

and

new

treatments

based

on U
-
CEP
Biosensing

and

Biomarkers

Change
or

influence

thinking

and

behaviour
,
addiction
, Treatments on
organ

level

and

cell
-

or

protein

level
,
change

metabolism

by

U
-
CEP
or

BioMedCEP

approach

, <
insert

bullets
, …>

Exploitation and dissemination:


Use cases and the workpackage structure of BioMedCEP

Will be changed or deleted

WP1

Management

WP2

Reference model +
reference

architecture

(
for

integrating

U
-
CEP, Brain Computer Brain Interfaces, BAN, Quantum Computing
or

cogntive

comp
.
chips
, etc.)

WP6

Real
-
world clinical applications

WP3

(Complex Event) Processing, Analysis and Modeling

WP 4

Model
validation

WP9

Dissemination
and

Exploitation

WP7

Impact
assessment

WP6.2

De
-
pression

WP6.3

Diabetes

WP6.1

Ageing

WP6.4

Obesity

WP5.1

Sensitivity

Range

WP5.2

Add
senses


WP 5

Beyond

senses

BCI

WP8

Training

UC1:
Enhancing

sensitivity

range

of

a sense:

UC2:
Adding

new

senses
:

UC3:
Learn

more

about

Ageing

and

the

brain


UC4:
Depression

as

a fault
of

event

processing

UC5:
Diabetes

and

new

treatments

based

on U
-
CEP
Biosensing

and

Biomarkers

UC6:
Obesity

and

new

treatments

based

on U
-
CEP
Biosensing

and

Biomarkers

WP1

Management

WP2

Reference model +
reference

architecture

(
for

integrating

U
-
CEP, Brain Computer Brain Interfaces, BAN, Quantum Computing
or

cogntive

comp
.
chips
, etc.)

WP6

Real
-
world clinical applications

WP3

(Complex Event) Processing, Analysis and Modeling

WP 4

Model
validation

WP9

Dissemination
and

Exploitation

WP7

Impact
assessment

WP6.2

De
-
pression

WP6.3

Diabetes

WP6.1

Ageing

WP6.4

Obesity

WP5.1

Sensitivity

Range

WP5.2

Add
senses


WP 5

Beyond

senses

BCI

WP8

Training

UC1:
Enhancing

sensitivity

range

of

a sense:

UC2:
Adding

new

senses
:

UC3:
Learn

more

about

Ageing

and

the

brain


UC4:
Depression

as

a fault
of

event

processing

UC5:
Diabetes

and

new

treatments

based

on U
-
CEP
Biosensing

and

Biomarkers

UC6:
Obesity

and

new

treatments

based

on U
-
CEP
Biosensing

and

Biomarkers

Tasks

related to the use cases and the workpackage structure of BioMedCEP

Will be changed or deleted

T2.1

T2.2

T2.3

T2.4

T2.5

T2.6

T3.1

T3.2

T3.3

T3.4

T2.5

T3.6

T4.1

T4.2

T4.3

T4.4

T4.5

T4.6

T5.1

T5.2

T5.3

T5.4

T5.5

T5.6

T5.1.1

T5.2.1

T7.1

T7.2

T7.3

T7.4

T7.5

T7.6

T6.2

T6.1

T6.4

T6.3

T8.1

T8.2

T8.3

T8.4

T8.5

T8.6

T9.1

T9.2

T9.3

T9.4

T9.5

T9.6

Part. No.

Participant Organisation Name

Part. Short Name

Country

1 (Coord.)

??? OFFIS
or FZI
or

MPI Leipzig
or

U Tübingen,
Würzburg

2

Centrum für Informations
-
Technologie Transfer GmbH

CITT

Germany

3

TNCL / University of Wisconsin

TCNL

USA

4

TU Delft

NL

5

University Medical Center Leiden (clinical appl., Ageing)

NL

6

Center for Technological Research of Central Greece,
Technological Educational Institute of Lamia, IVIBIS group

CTRCG/TEILAM

GR

7

U Lincoln

UK

8

Cambridge
EMBL
-
EBI
BioInformatics Inst. / Auckland NZ

UK

9

?U Heidelberg? Other
BrainScaleS

member
? EPFL/
Haynes?


Germany

10

?http://www.igi.tugraz.at/English.html

or
http://www.csc.kth.se/forskning/cb/cbn/

AT/SE

11

?MPI Psychiatrie Holsboer Munich (disease Depression)?

Germany

12

?IBM Almaden? Haifa? Zurich (Cognitive Chip, U
-
CEP
platform)

SAG? SAP? Streambase? Starview? FZI ETALIS?

13

?MPI Biophysics Frankfurt? U Berkeley? Princeton? event
adapter provider


Germany


...



Japan



Consortium

Consortium

should at least have experts on a) brains (mainly neuroscientists), b) intelligent systems


data/event processing and analysis, c) sensors, d) brain
-
computer interfaces, and if we would like to address
specific health issues such as dementia, obesity etc then e) experts on these specific health issues.

Work
Package

No.

Work Package Title

Type of
Activity

Lead

Partic.

No.

Lead Partic.
short Name

Person
-
months

Start

Month

End

Month

WP
1

Project Management

MGT

1

???

M1

M??

WP
2

RTD

2, 6, 7

CITT?

CTRCG?

ULinclon
?

M1

M??

WP
3

RTD

2,6

CITT?

CTRCG?

M1

M??

WP
4

RTD

M??

M??

WP
5

RTD/DEM

6

CTRCG?

M??

M??

WP6

6

WP7

WP8

2,6

WP
9

Dissemination and Exploitation

RTD/DEM

2,6

CITT?

M??

M??

TOTAL

Workpackages list

Del. No.


Deliverable Name

WP
No.

N

Dissemi
-
nation

Level

Delivery
Date

WP 1

D1.1

1

M

PU

M?

D1.2

1

M

PU

M?

D1.3

1

M

CO

M?



tP 2

䐲⸱

2

o



䴿

䐲⸲

2

oⰠ,



䴿

䐲⸳

2

o



䴿

䐲⸴

2

o



䴿

䐲⸵

2

o



䴿

䐲⸶

2

oⰠ,



䴿

tP 3

D3.1

3

R

PU

M?

D3.2

3

R

PU

M?

D3.3

3

P

PU

M?

...

WP 4

D4.1

4

R

PU

M?


...

4

R,P

PU

M?

...

Deliverables list

Milestone
No.

Milestone Name

Work Package(s) involved

Expected Date

1



M?

2

WP2
, WP3

M?

3

WP3, WP4, WP5

M?

4

WP3, WP4, WP5, WP6

M?

5

WP3, WP4, WP5, WP6

M?



...

M?

List of milestones

Work package number
c

2

Start date or starting event:

Month 1

Work package title

Activity type

RTD

Participant number

1

2

3

4

5

6

7

Participant short name

CITT

CTRCG

ULINC

Person
-
months per
participant

18

18

18

Objectives











Description of Work

WP
-
Leader:
CITT?

T2.1
:
(
CITT
, ..., ...)

The main topic of this first task is to
define...
blabla

Deliverables

D2.1 ... (M?)

D2.2 ...
(M7)

D...

Work Package Description