The document discusses the application of fMRI in neuromarketing and medical research, highlighting its ability to analyze subconscious processes and improve advertising effectiveness. It also mentions the development of FPGA-based systems for faster and more energy-efficient analysis of brain activities. The focus is on enhancing diagnostic capabilities for neurological pathologies while maximizing performance and reducing energy consumption.

1. Brain NECSTworkEleonora D'Arnese
eleonora.darnese@mail.polimi.it
Enrico Reggiani
enrico2.reggiani@mail.polimi.it
Marco Gucciardi
marco.gucciardi@mail.polimi.it
image from http://i1-news.softpedia-static.com/images/news2/The-Brain-Super-Sized-Computer-Going-from-Internet-to-Fiber-Optics-2.jpg

2. Market
Analysis
Marketability
2

3. Market
Analysis
Marketing design founded on neuroscience
[1]Neuromarketing: I Put Myself into a fMRI Scanner and Realized that I love Louis Vuitton Ads, Chutima Ruanguttamanun
fMRI new method able to
understand subconscious
processes that improve
the effectiveness of ads[1]
Marketability
3
Most recent mechanical
methods are used to
understand consumers

4. Market
Analysis
Marketability
4
fMRI is a research tool used
for diagnostic purpose like
spotting neurological
pathologies in early stages
High energy consumption
could affect the number of
daily fMRI images’ analysis
fMRI may detect abnormalities
within the brain that can be
found with other imaging
techniques but it usually takes
more timehttp://psychcentral.com/lib/img/fmri_scan.jpg

5. Market
Analysis
Marketability
5
Analysis of fMRI images has
provided new possibility of
investigation of memories,
language, learning and
emotion[2]
[2] http://psychcentral.com/lib/what-is-functional-magnetic-resonance-imaging-fmri/
[3] Great expectations: What can fMRI research tell us about psychological phenomena?, Tatjana Aue , Leah A. Lavelle , John T. Cacioppo
Neural networks are good
markers of psychological
phenomena or processes
when they are complex[2]
fMRI holds a special promise
for the objective study of
phenomena that people would
not be willing or capable of
providing in verbal reports[3]
http://www.grandparents.com

6. Key Performance Indicators
http://www.bluranocchio.com
Fast analysis of data
Low energy consumption
http://www.clipartpanda.com/
6
User-friendly graphic rendering
http://alf-img.com/

7. 7
FPGA requires a lower energetic amount for a single correlation calculation compared
to the other choices
* “On how to efficiently accelerate brain network analysis on FPGA-based computing system”, G. Gnemmi, M. Crippa et al; IEEE, 2015
Why Brain NECSTwork
*

8. Why Brain NECSTwork
8
http://www.clipartlord.com/category/structur
es-clip-art/buildings-clip-art/hospital-clip-art/
In medical and neuromarketing
research for reducing time and
energy used for each test
Maximization of performance/power
consumption ratio
Faster and easier diagnosis of
neurologic pathologies
Faster analysis wrt similar non-
FPGA based systems
http://hyperacusisresearch.org/
http://www.ou.org/

9. Eleonora D’Arnese – eleonora.darnese@mail.polimi.it
Enrico Reggiani – enrico2.reggiani@mail.polimi.it
Marco Gucciardi – marco.gucciardi@mail.polimi.it
https://m.facebook.com/BrainNECSTwork
https://twitter.com/Brain_NECSTwork?s=08
http://www.slideshare.net/BrainNECSTwork
Contacts
9