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MINERGRACE

Graphene-based High Resolution Neural Interfaces for ICT-inspired Neuro-treatment

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 MINERGRACE project word cloud

Explore the words cloud of the MINERGRACE project. It provides you a very rough idea of what is the project "MINERGRACE" about.

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Project "MINERGRACE" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 149˙875 €
 EC max contribution 149˙875 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-02-01   to  2019-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 149˙875.00

Map

 Project objective

Electronic devices enabling communication with human nervous system are becoming increasingly prevalent, offering novel information and communication (ICT)-based treatment techniques to help people overcome various disorders ranging from spinal cord injuries (SCIs) to missing limbs. Millions of people worldwide suffer from such ailments with a cumulative cost to the society estimated in billions of Euros annually. Next-generation ICT-based treatment techniques demand for interfaces with higher spatial resolution compared to state-of-the-art. To address this demand, MINERGRACE aims to build a prototype transceiver with high spatial resolution based on nano-patterned graphene sheets (NPGSs), which can be utilised as high resolution neural interfaces (NIs) capable of differentiating and generating highly localised fluctuations in specific ion concentrations. As the project outcome, MINERGRACE will provide a proof-of-concept NPGS-based NI prototype, i.e., a portable electronic device that can be integrated with a microprocessor. High resolution aspects of the MINERGRACE project outcome will provide a very significant improvement to the state-of-the-art in terms of both the capacity of the communication and the complexity of data communicated with the nervous system, enabling the communication with individual neurons. The project outcome will have a wide spectrum of applications involving NIs, e.g., ICT-based SCI treatments and neuro-prosthesis, significantly contributing to their quality of service. Commercialisation process will involve investigation into other commercialisation activities towards other NI products, development of an understanding of intellectual property rights (IPR) positions, and strategies for patenting activities in light of the achieved understanding of IPR position. We will work with identified industrial partners and societal organisations to collaborate towards in-market positioning for delivering the product to potential end users.

 Publications

year authors and title journal last update
List of publications.
2019 Murat Kuscu, Ozgur B. Akan
Channel Sensing in Molecular Communications with Single Type of Ligand Receptors
published pages: 1-1, ISSN: 0090-6778, DOI: 10.1109/TCOMM.2019.2933202
IEEE Transactions on Communications 2020-01-27
2019 Murat Kuscu, Ergin Dinc, Bilgesu A. Bilgin, Hamideh Ramezani, Ozgur B. Akan
Transmitter and Receiver Architectures for Molecular Communications: A Survey on Physical Design With Modulation, Coding, and Detection Techniques
published pages: 1302-1341, ISSN: 0018-9219, DOI: 10.1109/jproc.2019.2916081
Proceedings of the IEEE 107/7 2020-01-27
2019 Tooba Khan, Ozgur B. Akan
Sum rate analysis of multiple-access neuro-spike communication channel with dynamic spiking threshold
published pages: 110-118, ISSN: 1878-7789, DOI: 10.1016/j.nancom.2019.01.002
Nano Communication Networks 19 2020-01-27

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