Project acronym HERMES
Project HERMES – High Exponential Rise in Miniaturized cantilever-like Sensing
Researcher (PI) Anja Boisen
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Advanced Grant (AdG), PE8, ERC-2012-ADG_20120216
Summary Miniaturized cantilever–like sensors have evolved rapidly. However, when it comes to major breakthroughs in both fundamental studies as well as commercial applications these sensors face severe challenges: i) reliability – often only one or two measurements are performed for the same conditions due to very slow data generation and the results are rarely confirmed by orthogonal sensing technologies, ii) sensitivity – in many applications the need is now for ultra-low sensitivities, iii) reproducibility – very few results have been reported on reproducibility of these sensors iv)throughput –extremely slow and tedious read-out technologies. In order to take a great leap forward in cantilever-like sensing I suggest a new generation of simplified and optimized cantilever-like sensing structures implemented in a DVD based platform which will specifically address these issues.
My overall hypothesis is that the true potential of these exciting sensors can only be released when using a simple and reliable read-out system that allows us to focus on the mechanical performance of the sensors. Thus we will keep the sensors as simple as possible. The DVD readout makes it possible to generate large amount of data and to focus on mechanics and the interplay between mechanics, optics and electrochemistry. It will be a technological challenge to realize a robust and reliable DVD platform, that facilitates optical read-out as well as actuation. The DVD platform will enable a fast and iterative development of hybrid cantilever-like systems which draw upon our more than 10 years experience in the field. These sensors will be realised using Si and polymer based cleanroom fabrication. Focus is on design, fabrication, characterization and applications of cantilever-like sensors and on DVD inspired system integration. By the end of HERMES we will have a unique platform which will be the onset of many new types of specific high –throughput applications and sensor development projects.
Summary
Miniaturized cantilever–like sensors have evolved rapidly. However, when it comes to major breakthroughs in both fundamental studies as well as commercial applications these sensors face severe challenges: i) reliability – often only one or two measurements are performed for the same conditions due to very slow data generation and the results are rarely confirmed by orthogonal sensing technologies, ii) sensitivity – in many applications the need is now for ultra-low sensitivities, iii) reproducibility – very few results have been reported on reproducibility of these sensors iv)throughput –extremely slow and tedious read-out technologies. In order to take a great leap forward in cantilever-like sensing I suggest a new generation of simplified and optimized cantilever-like sensing structures implemented in a DVD based platform which will specifically address these issues.
My overall hypothesis is that the true potential of these exciting sensors can only be released when using a simple and reliable read-out system that allows us to focus on the mechanical performance of the sensors. Thus we will keep the sensors as simple as possible. The DVD readout makes it possible to generate large amount of data and to focus on mechanics and the interplay between mechanics, optics and electrochemistry. It will be a technological challenge to realize a robust and reliable DVD platform, that facilitates optical read-out as well as actuation. The DVD platform will enable a fast and iterative development of hybrid cantilever-like systems which draw upon our more than 10 years experience in the field. These sensors will be realised using Si and polymer based cleanroom fabrication. Focus is on design, fabrication, characterization and applications of cantilever-like sensors and on DVD inspired system integration. By the end of HERMES we will have a unique platform which will be the onset of many new types of specific high –throughput applications and sensor development projects.
Max ERC Funding
2 499 466 €
Duration
Start date: 2013-02-01, End date: 2018-01-31
Project acronym INNODYN
Project Integrated Analysis & Design in Nonlinear Dynamics
Researcher (PI) Jakob Søndergaard Jensen
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), PE8, ERC-2011-StG_20101014
Summary Imagine lighter and more fuel economic cars with improved crashworthiness that help save lives, aircrafts and wind-turbine blades with significant weight reductions that lead to large savings in material costs and environmental impact, and light but efficient armour that helps to protect against potentially deadly blasts. These are the future perspectives with a new generation of advanced structures and micro-structured materials.
The goal of INNODYN is to bring current design procedures for structures and materials a significant step forward by developing new efficient procedures for integrated analysis and design taking the nonlinear dynamic performance into account. The assessment of nonlinear dynamic effects is essential for fully exploiting the vast potentials of structural and material capabilities, but a focused endeavour is strongly required to develop the methodology required to reach the ambitious goals.
INNODYN will in two interacting work-packages develop the necessary computational analysis and design tools using
1) reduced-order models (WP1) that enable optimization of the overall topology of structures which is today hindered by excessive computational costs when dealing with nonlinear dynamic systems
2) multi-scale models (WP2) that facilitates topological design of the material microstructure including essential nonlinear geometrical effects currently not included in state-of-the-art methods.
The work will be carried out by a research group with two PhD-students and a postdoc, led by a PI with a track-record for original ground-breaking research in analysis and optimization of linear and nonlinear dynamics and hosted by one of the world's leading research groups on topology optimization, the TOPOPT group at the Technical University of Denmark.
Summary
Imagine lighter and more fuel economic cars with improved crashworthiness that help save lives, aircrafts and wind-turbine blades with significant weight reductions that lead to large savings in material costs and environmental impact, and light but efficient armour that helps to protect against potentially deadly blasts. These are the future perspectives with a new generation of advanced structures and micro-structured materials.
The goal of INNODYN is to bring current design procedures for structures and materials a significant step forward by developing new efficient procedures for integrated analysis and design taking the nonlinear dynamic performance into account. The assessment of nonlinear dynamic effects is essential for fully exploiting the vast potentials of structural and material capabilities, but a focused endeavour is strongly required to develop the methodology required to reach the ambitious goals.
INNODYN will in two interacting work-packages develop the necessary computational analysis and design tools using
1) reduced-order models (WP1) that enable optimization of the overall topology of structures which is today hindered by excessive computational costs when dealing with nonlinear dynamic systems
2) multi-scale models (WP2) that facilitates topological design of the material microstructure including essential nonlinear geometrical effects currently not included in state-of-the-art methods.
The work will be carried out by a research group with two PhD-students and a postdoc, led by a PI with a track-record for original ground-breaking research in analysis and optimization of linear and nonlinear dynamics and hosted by one of the world's leading research groups on topology optimization, the TOPOPT group at the Technical University of Denmark.
Max ERC Funding
823 992 €
Duration
Start date: 2012-02-01, End date: 2016-01-31
Project acronym LIGHTDRIVENP450S
Project Light-driven Chemical Synthesis using Cytochrome P450s
Researcher (PI) Birger Lindberg Møller
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Advanced Grant (AdG), LS9, ERC-2012-ADG_20120314
Summary The goal of this proposed research initiative is to engineer chloroplasts into production units for high value bio-active natural products. The first aim is to re-route the biosynthetic pathways for these compounds into the chloroplast and to boost compound formation by optimizing and channeling reducing power from photosystem I into to the energy demanding steps. By these measures we aim to overcome the inherent limitations in plants to channel photosynthetic fixed carbon and reducing power directly into production of desired bioactive natural products. Our production targets are diterpenoids with the anti-cancer drug ingenol-3-angelate and the adenylyl cyclase activator forskolin as the two chosen test compounds. Formation of the complicated hydroxylated core structures of these compounds is catalyzed by diterpenoid synthases and cytochrome P450s. These will be identified and expressed in the chloroplast. The ultimate aim is to construct a single supramolecular enzyme complex effectively using solar energy to produce complex diterpenoids. This will be accomplished by tethering the terpenoid synthases and the key P450 enzymes directly to the photosystem I complex using some of the small membrane spanning subunits of photosystem I as membrane anchors. The experimental systems used will initially be transient expression in tobacco and then move to stably transformed moss (Physcomitrella patens). The production system is built on the “share your parts” principle of synthetic biology and the aim is to construct a modular ‘tool box’ as template for tailoring the synthesis of a whole range of valuable bioactive diterpenoids. Typically, these are difficult to obtain because they are produced in very low amounts in plants difficult to cultivate. The proposal opens up entirely new research horizons and removes current bottlenecks in industrial exploitation. The technology holds the promise of true sustainability as it is driven by solar power and CO2.
Summary
The goal of this proposed research initiative is to engineer chloroplasts into production units for high value bio-active natural products. The first aim is to re-route the biosynthetic pathways for these compounds into the chloroplast and to boost compound formation by optimizing and channeling reducing power from photosystem I into to the energy demanding steps. By these measures we aim to overcome the inherent limitations in plants to channel photosynthetic fixed carbon and reducing power directly into production of desired bioactive natural products. Our production targets are diterpenoids with the anti-cancer drug ingenol-3-angelate and the adenylyl cyclase activator forskolin as the two chosen test compounds. Formation of the complicated hydroxylated core structures of these compounds is catalyzed by diterpenoid synthases and cytochrome P450s. These will be identified and expressed in the chloroplast. The ultimate aim is to construct a single supramolecular enzyme complex effectively using solar energy to produce complex diterpenoids. This will be accomplished by tethering the terpenoid synthases and the key P450 enzymes directly to the photosystem I complex using some of the small membrane spanning subunits of photosystem I as membrane anchors. The experimental systems used will initially be transient expression in tobacco and then move to stably transformed moss (Physcomitrella patens). The production system is built on the “share your parts” principle of synthetic biology and the aim is to construct a modular ‘tool box’ as template for tailoring the synthesis of a whole range of valuable bioactive diterpenoids. Typically, these are difficult to obtain because they are produced in very low amounts in plants difficult to cultivate. The proposal opens up entirely new research horizons and removes current bottlenecks in industrial exploitation. The technology holds the promise of true sustainability as it is driven by solar power and CO2.
Max ERC Funding
2 499 699 €
Duration
Start date: 2013-03-01, End date: 2019-02-28
Project acronym LOWLANDS
Project Parsing low-resource languages and domains
Researcher (PI) Anders Søgaard
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary "There are noticeable asymmetries in availability of high-quality natural language processing (NLP). We can adequately summarize English newspapers and translate them into Korean, but we cannot translate Korean newspaper articles into English, and summarizing micro-blogs is much more difficult than summarizing newspaper articles. This is a fundamental problem for modern societies, their development and democracy, as well as perhaps the most important research problem in NLP right now.
Most NLP technologies rely on highly accurate syntactic parsing. Reliable parsing models can be induced from large collections of manually annotated data, but such collections are typically limited to sampled newswire in major languages. Highly accurate parsing is therefore not available for other languages and other domains.
The NLP community is well aware of this problem, but unsupervised techniques that do not rely on manually annotated data cannot be used for real-world applications, where highly accurate parsing is needed, and sample bias correction methods that automatically correct the bias in newswire when parsing, say, micro-blogs, do not yet lead to robust improvements across the board.
The objective of this project is to develop new learning methods for parsing natural language for which no unbiased labeled data exists. In order to do so, we need to fundamentally rethink the unsupervised parsing problem, including how we evaluate unsupervised parsers, but we also need to supplement unsupervised learning techniques with robust methods for automatically correcting sample selection biases in related data. Such methods will be applicable to both cross-domain and cross-language syntactic parsing and will pave the way toward robust and scalable NLP. The societal impact of robust and scalable NLP is unforeseeable and comparable to how efficient information retrieval techniques have revolutionized modern societies."
Summary
"There are noticeable asymmetries in availability of high-quality natural language processing (NLP). We can adequately summarize English newspapers and translate them into Korean, but we cannot translate Korean newspaper articles into English, and summarizing micro-blogs is much more difficult than summarizing newspaper articles. This is a fundamental problem for modern societies, their development and democracy, as well as perhaps the most important research problem in NLP right now.
Most NLP technologies rely on highly accurate syntactic parsing. Reliable parsing models can be induced from large collections of manually annotated data, but such collections are typically limited to sampled newswire in major languages. Highly accurate parsing is therefore not available for other languages and other domains.
The NLP community is well aware of this problem, but unsupervised techniques that do not rely on manually annotated data cannot be used for real-world applications, where highly accurate parsing is needed, and sample bias correction methods that automatically correct the bias in newswire when parsing, say, micro-blogs, do not yet lead to robust improvements across the board.
The objective of this project is to develop new learning methods for parsing natural language for which no unbiased labeled data exists. In order to do so, we need to fundamentally rethink the unsupervised parsing problem, including how we evaluate unsupervised parsers, but we also need to supplement unsupervised learning techniques with robust methods for automatically correcting sample selection biases in related data. Such methods will be applicable to both cross-domain and cross-language syntactic parsing and will pave the way toward robust and scalable NLP. The societal impact of robust and scalable NLP is unforeseeable and comparable to how efficient information retrieval techniques have revolutionized modern societies."
Max ERC Funding
1 126 183 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym M4D
Project Metal Microstructures in Four Dimensions
Researcher (PI) Dorte JUUL JENSEN
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Advanced Grant (AdG), PE8, ERC-2017-ADG
Summary The goals are:
1) to develop a universal laboratory-based 4D X-ray microscope with potentials in the broad field of materials science and beyond;
2) to advance metal research by quantifying local microstructural variations using the new 4D tool and by including the effects hereof in the understanding and modelling of industrially relevant metals.
Today, high resolution 4D (x,y,z,time) crystallographic characterization of materials is possible only at large international facilities. This is a serious limitation preventing the common use. The new technique will allow such 4D characterization to be carried out at home laboratories, thereby wide spreading this powerful tool.
Whereas current metal research mainly focuses on average properties, local microstructural variations are present in all metals on several length scales, and are often of critical importance for the properties and performance of the metal. In this project, the new technique will be the cornerstone in studies of such variations in three types of metallic materials: 3D printed, multilayered and micrometre-scale metals. Effects of local variations on the subsequent microstructural evolution will be followed during deformation and annealing, i.e. during processes typical for manufacturing, and occurring during in-service operation.
Current models largely ignore the presence of local microstructural variations and lack predictive power. Based on the new experimental data, three models operating on different length scales will be improved and combined, namely crystal plasticity finite element, phase field and molecular dynamics models. The main novelty here relates to the full 4D validation of the models, which has not been possible hitherto because of lack of sufficient experimental data.
The resulting fundamental understanding of the inherent microstructural variations and the new models are foreseen to be an integral part of the future design of metallic materials for high performance applications.
Summary
The goals are:
1) to develop a universal laboratory-based 4D X-ray microscope with potentials in the broad field of materials science and beyond;
2) to advance metal research by quantifying local microstructural variations using the new 4D tool and by including the effects hereof in the understanding and modelling of industrially relevant metals.
Today, high resolution 4D (x,y,z,time) crystallographic characterization of materials is possible only at large international facilities. This is a serious limitation preventing the common use. The new technique will allow such 4D characterization to be carried out at home laboratories, thereby wide spreading this powerful tool.
Whereas current metal research mainly focuses on average properties, local microstructural variations are present in all metals on several length scales, and are often of critical importance for the properties and performance of the metal. In this project, the new technique will be the cornerstone in studies of such variations in three types of metallic materials: 3D printed, multilayered and micrometre-scale metals. Effects of local variations on the subsequent microstructural evolution will be followed during deformation and annealing, i.e. during processes typical for manufacturing, and occurring during in-service operation.
Current models largely ignore the presence of local microstructural variations and lack predictive power. Based on the new experimental data, three models operating on different length scales will be improved and combined, namely crystal plasticity finite element, phase field and molecular dynamics models. The main novelty here relates to the full 4D validation of the models, which has not been possible hitherto because of lack of sufficient experimental data.
The resulting fundamental understanding of the inherent microstructural variations and the new models are foreseen to be an integral part of the future design of metallic materials for high performance applications.
Max ERC Funding
2 496 519 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym METALS
Project Formation and Characterization of Protein Post-Translational Modifications and Assessment of Cellular Responses by Application of Metals in Biological Systems
Researcher (PI) Frank Kjeldsen
Host Institution (HI) SYDDANSK UNIVERSITET
Call Details Consolidator Grant (CoG), LS9, ERC-2014-CoG
Summary The chemistry of metals is rich and viewed in a biological context its diversity is crucial for a multitude of molecular functions in the living cell. Many of these reactions are very attractive to both academia and industry. In this proposal, I plan to develop novel applications of metal compounds to solve immediate challenges in mass spectrometry-based proteome research, but also will assess the potential risks of using nano-sized metals in our society. First, it is important to develop an efficient enzyme-independent method to synthesize large amounts of biologically relevant C-terminal amidated peptides. Presently, C-terminal peptide amidation poses a challenge in pharmaceutical production due to limitations of the two enzymes used for this purpose. The suggested approach in METALS will examine the specific binding of uranyl to artificially phosphorylated recombinant peptides. Data reveal that subsequent UV irradiation produces C-terminal amidated peptides. I will attempt to minimize the bias inherent in current phosphopeptide analysis, which comes from inefficient inhibition of phosphatases during cell lysis. Application of a recently developed gallium complex during cell lysis should limit the extent of this bias by binding phosphorylated proteins. The neutral conditions involved with the gallium complex reaction should also facilitate the possibility of enrichment of acid labile phospho-histidine peptides of which only a handful have been characterized. Finally, humans are now exposed to increasing amounts of artificially nano-metals applied via consumer products, food packages, and cosmetics. I will investigate this problem using advanced mass spectrometry, confocal microscopy, and biochemical assays of the response of human neural cells to nano-metal particles. The particular focus area will be to elucidate whether the action of nanoparticles in human neural cells may shed new light on understanding of diseases like Parkinson´s disease.
Summary
The chemistry of metals is rich and viewed in a biological context its diversity is crucial for a multitude of molecular functions in the living cell. Many of these reactions are very attractive to both academia and industry. In this proposal, I plan to develop novel applications of metal compounds to solve immediate challenges in mass spectrometry-based proteome research, but also will assess the potential risks of using nano-sized metals in our society. First, it is important to develop an efficient enzyme-independent method to synthesize large amounts of biologically relevant C-terminal amidated peptides. Presently, C-terminal peptide amidation poses a challenge in pharmaceutical production due to limitations of the two enzymes used for this purpose. The suggested approach in METALS will examine the specific binding of uranyl to artificially phosphorylated recombinant peptides. Data reveal that subsequent UV irradiation produces C-terminal amidated peptides. I will attempt to minimize the bias inherent in current phosphopeptide analysis, which comes from inefficient inhibition of phosphatases during cell lysis. Application of a recently developed gallium complex during cell lysis should limit the extent of this bias by binding phosphorylated proteins. The neutral conditions involved with the gallium complex reaction should also facilitate the possibility of enrichment of acid labile phospho-histidine peptides of which only a handful have been characterized. Finally, humans are now exposed to increasing amounts of artificially nano-metals applied via consumer products, food packages, and cosmetics. I will investigate this problem using advanced mass spectrometry, confocal microscopy, and biochemical assays of the response of human neural cells to nano-metal particles. The particular focus area will be to elucidate whether the action of nanoparticles in human neural cells may shed new light on understanding of diseases like Parkinson´s disease.
Max ERC Funding
1 798 750 €
Duration
Start date: 2015-09-01, End date: 2021-02-28
Project acronym MINDREHAB
Project Consciousness In basic Science And Neurorehabilitation
Researcher (PI) Morten Overgaard
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), SH4, ERC-2009-StG
Summary This project studies the topic of human consciousness from a multidisciplinary perspective. Human consciousness can be defined as the inner subjective experience of mental states such as perceptions, judgments, thoughts, intentions to act, feelings or desires. These experiences are to be described from a subjective, phenomenal first-person account. On the other hand, cognitive neurosciences explore the neural correlates with respect to brain topology and brain dynamics from an objective third-person account.
Despite a great interest in consciousness among cognitive neuroscientists, there are yet no general agreement on definitions or models, and no attempts to draw conclusions from the existing body of work to make progress in the treatment of patients. While it is generally the case that research in cognitive neuroscience has a minimal influence on clinical work in neurorehabilitation, this is very much the case in consciousness studies. Here, so far, there is no direct connection to clinical practice
MindRehab will make use of an integrated approach to find new ways to understand cognitive dysfunctions and to actually rehabilitate patients with cognitive problems after brain injury. This integrated approach, using consciousness studies to create progress in a clinical area, is novel and does not exist as an explicit goal for any other research group in the world. The objective of MindRehab is to integrate three aspects: Philosophy and basic research on consciousness, and clinical work in neurorehabilitation. Furthermore, the objective is to realize a number of research projects leading to novel contributions at the frontier of all three domains. However, contrary to all other current research projects in this field, the emphasis is put on the latter the clinical work.
Summary
This project studies the topic of human consciousness from a multidisciplinary perspective. Human consciousness can be defined as the inner subjective experience of mental states such as perceptions, judgments, thoughts, intentions to act, feelings or desires. These experiences are to be described from a subjective, phenomenal first-person account. On the other hand, cognitive neurosciences explore the neural correlates with respect to brain topology and brain dynamics from an objective third-person account.
Despite a great interest in consciousness among cognitive neuroscientists, there are yet no general agreement on definitions or models, and no attempts to draw conclusions from the existing body of work to make progress in the treatment of patients. While it is generally the case that research in cognitive neuroscience has a minimal influence on clinical work in neurorehabilitation, this is very much the case in consciousness studies. Here, so far, there is no direct connection to clinical practice
MindRehab will make use of an integrated approach to find new ways to understand cognitive dysfunctions and to actually rehabilitate patients with cognitive problems after brain injury. This integrated approach, using consciousness studies to create progress in a clinical area, is novel and does not exist as an explicit goal for any other research group in the world. The objective of MindRehab is to integrate three aspects: Philosophy and basic research on consciousness, and clinical work in neurorehabilitation. Furthermore, the objective is to realize a number of research projects leading to novel contributions at the frontier of all three domains. However, contrary to all other current research projects in this field, the emphasis is put on the latter the clinical work.
Max ERC Funding
1 641 232 €
Duration
Start date: 2010-06-01, End date: 2015-05-31
Project acronym miPDesign
Project Designing microProteins to alter growth processes in crop plants
Researcher (PI) Stephan Wenkel
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), LS9, ERC-2013-StG
Summary The directed control of protein activity plays a crucial role in the regulation of growth and development of multicellular organisms. Different post-translational control mechanisms are known to influence the activity of proteins. Here, I am proposing a novel way to control the activity of proteins that function as multimeric complexes. MicroProteins, are small single-domain protein species that can influence target proteins by sequestering them into non-productive protein complexes. I have developed the concept of microProtein function and subsequently started to identify novel microProtein regulators in the model plant Arabidopsis. The aim of this proposal is to use the microProtein concept and build synthetic microProtein modules in economical import crop plants. By combining synthetic biology approaches with modern plant breeding, we intent to re-wire plant development and alter the flowering behaviour of rice. In addition, we will use a combination of artificial microProteins and microProtein-resistant transcription factors to modify the inclination angle of leaves in rice and the bioenergy model species Brachypodium distachion. Modification of the leaf angle will allow us to grow crops at higher densities, thus having the potential to increase both biomass and seed production per acreage. Finally, we aim to identify novel, evolutionary conserved microProtein-modules and unravel the mechanism of microProtein function, to study their role in plant development and adaptation.
Summary
The directed control of protein activity plays a crucial role in the regulation of growth and development of multicellular organisms. Different post-translational control mechanisms are known to influence the activity of proteins. Here, I am proposing a novel way to control the activity of proteins that function as multimeric complexes. MicroProteins, are small single-domain protein species that can influence target proteins by sequestering them into non-productive protein complexes. I have developed the concept of microProtein function and subsequently started to identify novel microProtein regulators in the model plant Arabidopsis. The aim of this proposal is to use the microProtein concept and build synthetic microProtein modules in economical import crop plants. By combining synthetic biology approaches with modern plant breeding, we intent to re-wire plant development and alter the flowering behaviour of rice. In addition, we will use a combination of artificial microProteins and microProtein-resistant transcription factors to modify the inclination angle of leaves in rice and the bioenergy model species Brachypodium distachion. Modification of the leaf angle will allow us to grow crops at higher densities, thus having the potential to increase both biomass and seed production per acreage. Finally, we aim to identify novel, evolutionary conserved microProtein-modules and unravel the mechanism of microProtein function, to study their role in plant development and adaptation.
Max ERC Funding
1 443 320 €
Duration
Start date: 2013-12-01, End date: 2018-11-30
Project acronym OscillatoryVision
Project The retinae as windows to the brain: An oscillatory vision
Researcher (PI) Sarang Suresh Dalal
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), SH4, ERC-2014-STG
Summary Several sophisticated image processing circuits have been discovered in the animal retina, many of which manifest massive neural synchrony. A major insight is that this type of synchrony often translates to high-frequency activity on a macroscopic level, but electroretinography (ERG) has not been tapped to examine this potential in humans. Bolstered by our compelling results combining ERG with magnetoencephalography (MEG), this project will address several open questions with respect to human visual processing:
1) Could variable retinal timing be linked to intrinsic image properties and pass on phase variance downstream to visual cortex? Our data suggests the retina responds to moving gratings and natural imagery with non-phase-locked high gamma oscillations (>65 Hz) just like visual cortex, and that slower ERG potentials exhibit strong phase-locking within stimuli but large phase variance across stimuli.
2) Do such retinal gamma band responses, both evoked and induced, directly drive some cortical gamma responses? Pilot data suggests that it can, through retinocortical coherence, our novel ERG-MEG mapping technique.
3) Several kinds of motion have now been shown to elicit massive synchrony in mammalian retina circuits. Does this also result in macroscopic high-frequency activity? If so, our experiments will finally reveal and characterize motion detection by the human retina.
4) Do efferent pathways to the retina exist in humans? We discovered that the ERG exhibits eyes-closed alpha waves strikingly similar to the classic EEG phenomenon and, leveraging our retinocortical coherence technique, that this activity is likely driven by contralateral occipital cortex. Then, can retinal responses be influenced by ongoing cortical activity?
Characterizing retinocortical interaction represents a complete paradigm shift that will be imperative for our understanding of neural synchrony in the human nervous system and enable several groundbreaking new avenues for research.
Summary
Several sophisticated image processing circuits have been discovered in the animal retina, many of which manifest massive neural synchrony. A major insight is that this type of synchrony often translates to high-frequency activity on a macroscopic level, but electroretinography (ERG) has not been tapped to examine this potential in humans. Bolstered by our compelling results combining ERG with magnetoencephalography (MEG), this project will address several open questions with respect to human visual processing:
1) Could variable retinal timing be linked to intrinsic image properties and pass on phase variance downstream to visual cortex? Our data suggests the retina responds to moving gratings and natural imagery with non-phase-locked high gamma oscillations (>65 Hz) just like visual cortex, and that slower ERG potentials exhibit strong phase-locking within stimuli but large phase variance across stimuli.
2) Do such retinal gamma band responses, both evoked and induced, directly drive some cortical gamma responses? Pilot data suggests that it can, through retinocortical coherence, our novel ERG-MEG mapping technique.
3) Several kinds of motion have now been shown to elicit massive synchrony in mammalian retina circuits. Does this also result in macroscopic high-frequency activity? If so, our experiments will finally reveal and characterize motion detection by the human retina.
4) Do efferent pathways to the retina exist in humans? We discovered that the ERG exhibits eyes-closed alpha waves strikingly similar to the classic EEG phenomenon and, leveraging our retinocortical coherence technique, that this activity is likely driven by contralateral occipital cortex. Then, can retinal responses be influenced by ongoing cortical activity?
Characterizing retinocortical interaction represents a complete paradigm shift that will be imperative for our understanding of neural synchrony in the human nervous system and enable several groundbreaking new avenues for research.
Max ERC Funding
1 499 850 €
Duration
Start date: 2016-03-01, End date: 2021-02-28
Project acronym PHOENEEX
Project Pyrolytic Hierarchical Organic Electrodes for sustaiNable Electrochemical Energy Systems
Researcher (PI) Stephan Sylvest Keller
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Consolidator Grant (CoG), PE7, ERC-2017-COG
Summary The demand for compact energy systems for portable devices such as wearable sensors or mobile phones is increasing. Electrochemical systems are promising candidates for sustainable energy conversion and storage on miniaturised platforms. A recent approach to harvest green energy is biophotovoltaic systems (BPVs), where photosynthetic microorganisms are used to transform light into electrical energy. However, BPVs still provide a relatively low efficiency and are yet unable to deliver the high peak power required for sensor operation or wireless signal transmission in portable systems. In PHOENEEX, I will address these limitations by i) improving the efficiency of BPVs and ii) combining the BPVs with microsupercapacitors (µSCs) which can temporarily store the harvested electrical energy and provide a higher peak power output upon request. More specifically, I will develop highly optimised 3D carbon microelectrodes (3DCMEs) to enhance electron harvesting from cyanobacteria in BPVs and for increased energy density in µSCs. Finally, the improved BPVs and the optimised µSCs will be integrated on the BioCapacitor Microchip - a compact sustainable energy platform for portable systems.
The fabrication of 3DCMEs with highly tailored material properties, large surface area and hierarchical architecture is achieved by pyrolysis of polymer templates in an inert atmosphere. The fundamental hypothesis of PHOENEEX is that the combination of novel precursor materials, new methods for 3D polymer microfabrication and optimised pyrolysis processes will allow for fabrication of 3DCMEs with highly tailored material properties, large surface area and hierarchical architecture impossible to obtain with any other method.
Summary
The demand for compact energy systems for portable devices such as wearable sensors or mobile phones is increasing. Electrochemical systems are promising candidates for sustainable energy conversion and storage on miniaturised platforms. A recent approach to harvest green energy is biophotovoltaic systems (BPVs), where photosynthetic microorganisms are used to transform light into electrical energy. However, BPVs still provide a relatively low efficiency and are yet unable to deliver the high peak power required for sensor operation or wireless signal transmission in portable systems. In PHOENEEX, I will address these limitations by i) improving the efficiency of BPVs and ii) combining the BPVs with microsupercapacitors (µSCs) which can temporarily store the harvested electrical energy and provide a higher peak power output upon request. More specifically, I will develop highly optimised 3D carbon microelectrodes (3DCMEs) to enhance electron harvesting from cyanobacteria in BPVs and for increased energy density in µSCs. Finally, the improved BPVs and the optimised µSCs will be integrated on the BioCapacitor Microchip - a compact sustainable energy platform for portable systems.
The fabrication of 3DCMEs with highly tailored material properties, large surface area and hierarchical architecture is achieved by pyrolysis of polymer templates in an inert atmosphere. The fundamental hypothesis of PHOENEEX is that the combination of novel precursor materials, new methods for 3D polymer microfabrication and optimised pyrolysis processes will allow for fabrication of 3DCMEs with highly tailored material properties, large surface area and hierarchical architecture impossible to obtain with any other method.
Max ERC Funding
2 745 500 €
Duration
Start date: 2018-05-01, End date: 2023-04-30