Project acronym BOTMED
Project Microrobotics and Nanomedicine
Researcher (PI) Bradley James Nelson
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Advanced Grant (AdG), PE7, ERC-2010-AdG_20100224
Summary The introduction of minimally invasive surgery in the 1980’s created a paradigm shift in surgical procedures. Health care is now in a position to make a more dramatic leap by integrating newly developed wireless microrobotic technologies with nanomedicine to perform precisely targeted, localized endoluminal techniques. Devices capable of entering the human body through natural orifices or small incisions to deliver drugs, perform diagnostic procedures, and excise and repair tissue will be used. These new procedures will result in less trauma to the patient and faster recovery times, and will enable new therapies that have not yet been conceived. In order to realize this, many new technologies must be developed and synergistically integrated, and medical therapies for which the technology will prove successful must be aggressively pursued.
This proposed project will result in the realization of animal trials in which wireless microrobotic devices will be used to investigate a variety of extremely delicate ophthalmic therapies. The therapies to be pursued include the delivery of tissue plasminogen activator (t-PA) to blocked retinal veins, the peeling of epiretinal membranes from the retina, and the development of diagnostic procedures based on mapping oxygen concentration at the vitreous-retina interface. With successful animal trials, a path to human trials and commercialization will follow. Clearly, many systems in the body have the potential to benefit from the endoluminal technologies that this project considers, including the digestive system, the circulatory system, the urinary system, the central nervous system, the respiratory system, the female reproductive system and even the fetus. Microrobotic retinal therapies will greatly illuminate the potential that the integration of microrobotics and nanomedicine holds for society, and greatly accelerate this trend in Europe.
Summary
The introduction of minimally invasive surgery in the 1980’s created a paradigm shift in surgical procedures. Health care is now in a position to make a more dramatic leap by integrating newly developed wireless microrobotic technologies with nanomedicine to perform precisely targeted, localized endoluminal techniques. Devices capable of entering the human body through natural orifices or small incisions to deliver drugs, perform diagnostic procedures, and excise and repair tissue will be used. These new procedures will result in less trauma to the patient and faster recovery times, and will enable new therapies that have not yet been conceived. In order to realize this, many new technologies must be developed and synergistically integrated, and medical therapies for which the technology will prove successful must be aggressively pursued.
This proposed project will result in the realization of animal trials in which wireless microrobotic devices will be used to investigate a variety of extremely delicate ophthalmic therapies. The therapies to be pursued include the delivery of tissue plasminogen activator (t-PA) to blocked retinal veins, the peeling of epiretinal membranes from the retina, and the development of diagnostic procedures based on mapping oxygen concentration at the vitreous-retina interface. With successful animal trials, a path to human trials and commercialization will follow. Clearly, many systems in the body have the potential to benefit from the endoluminal technologies that this project considers, including the digestive system, the circulatory system, the urinary system, the central nervous system, the respiratory system, the female reproductive system and even the fetus. Microrobotic retinal therapies will greatly illuminate the potential that the integration of microrobotics and nanomedicine holds for society, and greatly accelerate this trend in Europe.
Max ERC Funding
2 498 044 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym COMCOM
Project Communication and Computation - Two Sides of One Tapestry
Researcher (PI) Michael Christoph Gastpar
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE7, ERC-2010-StG_20091028
Summary Networks have been studied in depth for several decades, but one aspect has received little attention: Interference. Most networks use clever algorithms to avoid interference, and this strategy has proved effective for traditional supply-chain or wired communication networks. However, the emergence of wireless networks revealed that simply avoiding interference leads to significant performance loss. A wealth of cooperative communication strategies have recently been developed to address this issue. Two fundamental roadblocks are emerging: First, it is ultimately unclear how to integrate cooperative techniques into the larger fabric of networks (short of case-by-case redesigns); and second, the lack of source/channel separation in networks (i.e., more bits do not imply better end-to-end signal quality) calls for ever more specialized cooperative techniques.
This proposal advocates a new understanding of interference as computation: Interference garbles together inputs to produce an output. This can be thought of as a certain computation, perhaps subject to noise or other stochastic effects. The proposed work will develop strategies that permit to exploit this computational potential. Building on these ``computation codes,'' an enhanced physical layer is proposed: Rather than only forwarding bits, the revised physical layer can also forward functions from several transmitting nodes to a receiver, much more efficiently than the full information. Near-seamless integration into the fabric of existing network architectures is thus possible, providing a solution for the first roadblock. In response to the second roadblock, computation codes suggest new computational primitives as fundamental currencies of information.
Summary
Networks have been studied in depth for several decades, but one aspect has received little attention: Interference. Most networks use clever algorithms to avoid interference, and this strategy has proved effective for traditional supply-chain or wired communication networks. However, the emergence of wireless networks revealed that simply avoiding interference leads to significant performance loss. A wealth of cooperative communication strategies have recently been developed to address this issue. Two fundamental roadblocks are emerging: First, it is ultimately unclear how to integrate cooperative techniques into the larger fabric of networks (short of case-by-case redesigns); and second, the lack of source/channel separation in networks (i.e., more bits do not imply better end-to-end signal quality) calls for ever more specialized cooperative techniques.
This proposal advocates a new understanding of interference as computation: Interference garbles together inputs to produce an output. This can be thought of as a certain computation, perhaps subject to noise or other stochastic effects. The proposed work will develop strategies that permit to exploit this computational potential. Building on these ``computation codes,'' an enhanced physical layer is proposed: Rather than only forwarding bits, the revised physical layer can also forward functions from several transmitting nodes to a receiver, much more efficiently than the full information. Near-seamless integration into the fabric of existing network architectures is thus possible, providing a solution for the first roadblock. In response to the second roadblock, computation codes suggest new computational primitives as fundamental currencies of information.
Max ERC Funding
1 776 473 €
Duration
Start date: 2011-05-01, End date: 2016-04-30
Project acronym COMPASP
Project Complex analysis and statistical physics
Researcher (PI) Stanislav Smirnov
Host Institution (HI) UNIVERSITE DE GENEVE
Call Details Advanced Grant (AdG), PE1, ERC-2013-ADG
Summary "The goal of this project is to achieve breakthroughs in a few fundamental questions in 2D statistical physics, using techniques from complex analysis, probability, dynamical systems, geometric measure theory and theoretical physics.
Over the last decade, we significantly expanded our understanding of 2D lattice models of statistical physics, their conformally invariant scaling limits and related random geometries. However, there seem to be serious obstacles, preventing further development and requiring novel ideas. We plan to attack those, in particular we intend to:
(A) Describe new scaling limits by Schramm’s SLE curves and their generalizations,
(B) Study discrete complex structures and use them to describe more 2D models,
(C) Describe the scaling limits of random planar graphs by the Liouville Quantum Gravity,
(D) Understand universality and lay framework for the Renormalization Group Formalism,
(E) Go beyond the current setup of spin models and SLEs.
These problems are known to be very difficult, but fundamental questions, which have the potential to lead to significant breakthroughs in our understanding of phase transitions, allowing for further progresses. In resolving them, we plan to exploit interactions of different subjects, and recent advances are encouraging."
Summary
"The goal of this project is to achieve breakthroughs in a few fundamental questions in 2D statistical physics, using techniques from complex analysis, probability, dynamical systems, geometric measure theory and theoretical physics.
Over the last decade, we significantly expanded our understanding of 2D lattice models of statistical physics, their conformally invariant scaling limits and related random geometries. However, there seem to be serious obstacles, preventing further development and requiring novel ideas. We plan to attack those, in particular we intend to:
(A) Describe new scaling limits by Schramm’s SLE curves and their generalizations,
(B) Study discrete complex structures and use them to describe more 2D models,
(C) Describe the scaling limits of random planar graphs by the Liouville Quantum Gravity,
(D) Understand universality and lay framework for the Renormalization Group Formalism,
(E) Go beyond the current setup of spin models and SLEs.
These problems are known to be very difficult, but fundamental questions, which have the potential to lead to significant breakthroughs in our understanding of phase transitions, allowing for further progresses. In resolving them, we plan to exploit interactions of different subjects, and recent advances are encouraging."
Max ERC Funding
1 995 900 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym COMPLEXDATA
Project Statistics for Complex Data: Understanding Randomness, Geometry and Complexity with a view Towards Biophysics
Researcher (PI) Victor Michael Panaretos
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE1, ERC-2010-StG_20091028
Summary The ComplexData project aims at advancing our understanding of the statistical treatment of varied types of complex data by generating new theory and methods, and to obtain progress in concrete current biophysical problems through the implementation of the new tools developed. Complex Data constitute data where the basic object of observation cannot be described in the standard Euclidean context of statistics, but rather needs to be thought of as an element of an abstract mathematical space with special properties. Scientific progress has, in recent years, begun to generate an increasing number of new and complex types of data that require statistical understanding and analysis. Four such types of data that are arising in the context of current scientific research and that the project will be focusing on are: random integral transforms, random unlabelled shapes, random flows of functions, and random tensor fields. In these unconventional contexts for statistics, the strategy of the project will be to carefully exploit the special aspects involved due to geometry, dimension and randomness in order to be able to either adapt and synthesize existing statistical methods, or to generate new statistical ideas altogether. However, the project will not restrict itself to merely studying the theoretical aspects of complex data, but will be truly interdisciplinary. The connecting thread among all the above data types is that their study is motivated by, and will be applied to concrete practical problems arising in the study of biological structure, dynamics, and function: biophysics. For this reason, the programme will be in interaction with local and international contacts from this field. In particular, the theoretical/methodological output of the four programme research foci will be applied to gain insights in the following corresponding four application areas: electron microscopy, protein homology, DNA molecular dynamics, brain imaging.
Summary
The ComplexData project aims at advancing our understanding of the statistical treatment of varied types of complex data by generating new theory and methods, and to obtain progress in concrete current biophysical problems through the implementation of the new tools developed. Complex Data constitute data where the basic object of observation cannot be described in the standard Euclidean context of statistics, but rather needs to be thought of as an element of an abstract mathematical space with special properties. Scientific progress has, in recent years, begun to generate an increasing number of new and complex types of data that require statistical understanding and analysis. Four such types of data that are arising in the context of current scientific research and that the project will be focusing on are: random integral transforms, random unlabelled shapes, random flows of functions, and random tensor fields. In these unconventional contexts for statistics, the strategy of the project will be to carefully exploit the special aspects involved due to geometry, dimension and randomness in order to be able to either adapt and synthesize existing statistical methods, or to generate new statistical ideas altogether. However, the project will not restrict itself to merely studying the theoretical aspects of complex data, but will be truly interdisciplinary. The connecting thread among all the above data types is that their study is motivated by, and will be applied to concrete practical problems arising in the study of biological structure, dynamics, and function: biophysics. For this reason, the programme will be in interaction with local and international contacts from this field. In particular, the theoretical/methodological output of the four programme research foci will be applied to gain insights in the following corresponding four application areas: electron microscopy, protein homology, DNA molecular dynamics, brain imaging.
Max ERC Funding
681 146 €
Duration
Start date: 2011-06-01, End date: 2016-05-31
Project acronym E-MOBILE
Project Enhanced Modeling and Optimization of Batteries Incorporating Lithium-ion Elements
Researcher (PI) Mathieu Maurice Luisier
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary "Developing rechargeable batteries with larger storage capacity, higher output power, faster charge/discharge time, and longer calendar lifetime could significantly impact the economical and environmental future of the European Union. New generations of lithium-ion batteries (LIBs) based on nanostructured electrodes are perfect candidates to supply all-electrical vehicles and favor the usage of renewable energies instead of fossil fuels. Hence, the global LIB revenue is expected to expand from $11 billion in 2011 up to $50 billion in 2020. The goal of this project is therefore to provide an advanced simulation and optimization platform to design LIBs with improved performance and increase the competitiveness of Europe in this domain. The proposed computer aided design (CAD) tool must satisfy three key requirements in order to reach this ambitious objective: (i) computational efficiency, (ii) results accuracy, and (iii) automated predictability. Massively parallel computing has been identified as the enabling technology to handle the first requirement. The second one will be addressed by implementing a state-of-the-art device operation model relying on a multi-scale resolution of the battery electrodes, a detailed description of the electron and ion motions, a material parametrization derived from ab-initio quantum transport techniques, and a validation of the approach through comparisons with experimental measurements. Finally, to meet the last requirement, the operation model will be coupled to a genetic algorithm optimizer capable of automatically predicting the LIB configuration that best matches pre-defined performance targets. The resulting CAD tool will be released as an open source package so that the entire battery community can benefit from it."
Summary
"Developing rechargeable batteries with larger storage capacity, higher output power, faster charge/discharge time, and longer calendar lifetime could significantly impact the economical and environmental future of the European Union. New generations of lithium-ion batteries (LIBs) based on nanostructured electrodes are perfect candidates to supply all-electrical vehicles and favor the usage of renewable energies instead of fossil fuels. Hence, the global LIB revenue is expected to expand from $11 billion in 2011 up to $50 billion in 2020. The goal of this project is therefore to provide an advanced simulation and optimization platform to design LIBs with improved performance and increase the competitiveness of Europe in this domain. The proposed computer aided design (CAD) tool must satisfy three key requirements in order to reach this ambitious objective: (i) computational efficiency, (ii) results accuracy, and (iii) automated predictability. Massively parallel computing has been identified as the enabling technology to handle the first requirement. The second one will be addressed by implementing a state-of-the-art device operation model relying on a multi-scale resolution of the battery electrodes, a detailed description of the electron and ion motions, a material parametrization derived from ab-initio quantum transport techniques, and a validation of the approach through comparisons with experimental measurements. Finally, to meet the last requirement, the operation model will be coupled to a genetic algorithm optimizer capable of automatically predicting the LIB configuration that best matches pre-defined performance targets. The resulting CAD tool will be released as an open source package so that the entire battery community can benefit from it."
Max ERC Funding
1 492 800 €
Duration
Start date: 2013-10-01, End date: 2018-09-30
Project acronym ESKIN
Project Stretchable Electronic Skins
Researcher (PI) Stephanie Perichon Ep Lacour
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE7, ERC-2010-StG_20091028
Summary Future electronic systems will be soft and elastic. I propose to explore the materials, technology and integration of stretchable electronic systems, which will transform at will, evenly coat a spherical lens, or smoothly interface with a delicate biological organ. Electronics will be anywhere as well as everywhere. The proposed programme has the potential to emulate yet another revolution in the microelectronics industry and trigger transformations in the biomedical sector.
The ESKIN programme is an ambitious and highly interdisciplinary endeavour requiring expertise at the frontier of engineering, material sciences, biotechnology and neuroscience. Stretchability in an electronic system is its ability to negotiate mechanical deformations without letting them interfere with its electrical functionality. This is a novel and challenging demand on electronic device technology, which has, to date, mainly pushed for smaller scale fabrication and increased performance. Furthermore the natural compliance of biological tissues and cells calls for softer electronic biomedical interfaces. Overcoming the hard to soft mechanical mismatch will, without doubt, open up new horizons in biomedical research and its related industries.
The manufacture of stretchable electronic skins will then require working out the underlying science and technology for active device materials on soft, elastic substrates. This capability will further be implemented to demonstrate various soft and elastic electronic systems ranging from stretchable displays to long-term neural implants. My philosophy is to exploit as much as possible current micro/nanofabrication techniques available for hard surfaces but to tailor them to soft surfaces , optimizing and improving them where needed, in order to ensure rapid transition to worldwide distributed consumer and healthcare products.
Summary
Future electronic systems will be soft and elastic. I propose to explore the materials, technology and integration of stretchable electronic systems, which will transform at will, evenly coat a spherical lens, or smoothly interface with a delicate biological organ. Electronics will be anywhere as well as everywhere. The proposed programme has the potential to emulate yet another revolution in the microelectronics industry and trigger transformations in the biomedical sector.
The ESKIN programme is an ambitious and highly interdisciplinary endeavour requiring expertise at the frontier of engineering, material sciences, biotechnology and neuroscience. Stretchability in an electronic system is its ability to negotiate mechanical deformations without letting them interfere with its electrical functionality. This is a novel and challenging demand on electronic device technology, which has, to date, mainly pushed for smaller scale fabrication and increased performance. Furthermore the natural compliance of biological tissues and cells calls for softer electronic biomedical interfaces. Overcoming the hard to soft mechanical mismatch will, without doubt, open up new horizons in biomedical research and its related industries.
The manufacture of stretchable electronic skins will then require working out the underlying science and technology for active device materials on soft, elastic substrates. This capability will further be implemented to demonstrate various soft and elastic electronic systems ranging from stretchable displays to long-term neural implants. My philosophy is to exploit as much as possible current micro/nanofabrication techniques available for hard surfaces but to tailor them to soft surfaces , optimizing and improving them where needed, in order to ensure rapid transition to worldwide distributed consumer and healthcare products.
Max ERC Funding
1 499 738 €
Duration
Start date: 2011-03-01, End date: 2016-02-29
Project acronym FUN-SP
Project A functional framework for sparse, non-gaussian signal processing and bioimaging
Researcher (PI) Michael Unser
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Advanced Grant (AdG), PE7, ERC-2010-AdG_20100224
Summary "In recent years, the research focus in signal processing has shifted away from the classical linear paradigm, which is intimately linked with the theory of stationary Gaussian processes. Instead of considering Fourier transforms and performing quadratic optimization, researchers are presently favoring wavelet-like representations and have adopted ”sparsity” as design paradigm.
Our ambition is to develop a unifying operator-based framework for signal processing that would provide the ``sparse"" counterpart of the classical theory, which is currently missing. To that end, we shall specify and investigate sparse stochastic processes that are continuously-defined and ruled by differential equations, and construct corresponding wavelet-like sparsifying transforms. Our hope is to be able to rigorously connect non-quadratic regularization and sparsity-constrained optimization to well-defined continuous-domain statistical models. We also want to develop a novel Lie-group formalism for the design of steerable, signal-adapted wavelet transforms with improved invariance and sparsifying properties, both in 2-D and 3-D.
We shall use these tools to define new reversible image representations in terms of singular points (contours and keypoints) and to develop novel algorithms for 3-D biomedical image analysis. In close collaboration with imaging scientists, we shall apply our framework to the development of new 3-D reconstruction algorithms for emerging bioimaging modalities such as fluorescence deconvolution microscopy, digital holography microscopy, X-ray phase-contrast microscopy, and advanced MRI."
Summary
"In recent years, the research focus in signal processing has shifted away from the classical linear paradigm, which is intimately linked with the theory of stationary Gaussian processes. Instead of considering Fourier transforms and performing quadratic optimization, researchers are presently favoring wavelet-like representations and have adopted ”sparsity” as design paradigm.
Our ambition is to develop a unifying operator-based framework for signal processing that would provide the ``sparse"" counterpart of the classical theory, which is currently missing. To that end, we shall specify and investigate sparse stochastic processes that are continuously-defined and ruled by differential equations, and construct corresponding wavelet-like sparsifying transforms. Our hope is to be able to rigorously connect non-quadratic regularization and sparsity-constrained optimization to well-defined continuous-domain statistical models. We also want to develop a novel Lie-group formalism for the design of steerable, signal-adapted wavelet transforms with improved invariance and sparsifying properties, both in 2-D and 3-D.
We shall use these tools to define new reversible image representations in terms of singular points (contours and keypoints) and to develop novel algorithms for 3-D biomedical image analysis. In close collaboration with imaging scientists, we shall apply our framework to the development of new 3-D reconstruction algorithms for emerging bioimaging modalities such as fluorescence deconvolution microscopy, digital holography microscopy, X-ray phase-contrast microscopy, and advanced MRI."
Max ERC Funding
2 106 994 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym LIQRISK
Project Liquidity and Risk in Macroeconomic Models
Researcher (PI) Philippe Jean Louis Bacchetta
Host Institution (HI) UNIVERSITE DE LAUSANNE
Call Details Advanced Grant (AdG), SH1, ERC-2010-AdG_20100407
Summary The proposal is motivated by the need to incorporate financial realities into macroeconomic models. The objective is to introduce leverage and liquidity in standard dynamic general equilibrium models and analyze their macroeconomic implications. The proposal is divided into two sub-projects and analyzes two different aspects of liquidity. The first deals with leverage and market liquidity in developed financial economies. The second examines the demand for liquid assets by emerging countries and its global implications. In the first sub-project, the proposal breaks new ground in the understanding of the dynamics of risk and in explaining some important features of the recent crisis. The project particularly emphasizes the role of self-fulfilling changes in expectations that can lead to sudden large shifts in risk. This can take the form of a financial panic with a big drop in asset prices. Various extensions will investigate the empirical implications as well as the implications for international capital flows, exchange rates, macroeconomic activity and policy recommendations. In the second sub-project, the objective is to formalize and analyze different degrees of liquidity in international capital flows. The project will innovate in finding ways to model liquidity in dynamic open economy models. This will allow a better understanding of the recent pattern in international capital flows, where less developed countries lend to richer economies. It will also shed light on the evolution of global imbalances before and after the crisis.
Summary
The proposal is motivated by the need to incorporate financial realities into macroeconomic models. The objective is to introduce leverage and liquidity in standard dynamic general equilibrium models and analyze their macroeconomic implications. The proposal is divided into two sub-projects and analyzes two different aspects of liquidity. The first deals with leverage and market liquidity in developed financial economies. The second examines the demand for liquid assets by emerging countries and its global implications. In the first sub-project, the proposal breaks new ground in the understanding of the dynamics of risk and in explaining some important features of the recent crisis. The project particularly emphasizes the role of self-fulfilling changes in expectations that can lead to sudden large shifts in risk. This can take the form of a financial panic with a big drop in asset prices. Various extensions will investigate the empirical implications as well as the implications for international capital flows, exchange rates, macroeconomic activity and policy recommendations. In the second sub-project, the objective is to formalize and analyze different degrees of liquidity in international capital flows. The project will innovate in finding ways to model liquidity in dynamic open economy models. This will allow a better understanding of the recent pattern in international capital flows, where less developed countries lend to richer economies. It will also shed light on the evolution of global imbalances before and after the crisis.
Max ERC Funding
2 070 570 €
Duration
Start date: 2011-08-01, End date: 2016-07-31
Project acronym MODFLAT
Project "Moduli of flat connections, planar networks and associators"
Researcher (PI) Anton Alekseev
Host Institution (HI) UNIVERSITE DE GENEVE
Call Details Advanced Grant (AdG), PE1, ERC-2013-ADG
Summary "The project lies at the crossroads between three different topics in Mathematics: moduli spaces of flat connections on surfaces in Differential Geometry and Topology, the Kashiwara-Vergne problem and Drinfeld associators in Lie theory, and combinatorics of planar networks in the theory of Total Positivity.
The time is ripe to establish deep connections between these three theories. The main factors are the recent progress in the Kashiwara-Vergne theory (including the proof of the Kashiwara-Vergne conjecture by Alekseev-Meinrenken), the discovery of a link between the Horn problem on eigenvalues of sums of Hermitian matrices and planar network combinatorics, and intimate links with the Topological Quantum Field Theory shared by the three topics.
The scientific objectives of the project include answering the following questions:
1) To find a universal non-commutative volume formula for moduli of flat connections which would contain the Witten’s volume formula, the Verlinde formula, and the Moore-Nekrasov-Shatashvili formula as particular cases.
2) To show that all solutions of the Kashiwara-Vergne problem come from Drinfeld associators. If the answer is indeed positive, it will have applications to the study of the Gothendieck-Teichmüller Lie algebra grt.
3) To find a Gelfand-Zeiltin type integrable system for the symplectic group Sp(2n). This question is open since 1983.
To achieve these goals, one needs to use a multitude of techniques. Here we single out the ones developed by the author:
- Quasi-symplectic and quasi-Poisson Geometry and the theory of group valued moment maps.
- The linearization method for Poisson-Lie groups relating the additive problem z=x+y and the multiplicative problem Z=XY.
- Free Lie algebra approach to the Kashiwara-Vergne theory, including the non-commutative divergence and Jacobian cocylces.
- Non-abelian topical calculus which establishes a link between the multiplicative problem and combinatorics of planar networks."
Summary
"The project lies at the crossroads between three different topics in Mathematics: moduli spaces of flat connections on surfaces in Differential Geometry and Topology, the Kashiwara-Vergne problem and Drinfeld associators in Lie theory, and combinatorics of planar networks in the theory of Total Positivity.
The time is ripe to establish deep connections between these three theories. The main factors are the recent progress in the Kashiwara-Vergne theory (including the proof of the Kashiwara-Vergne conjecture by Alekseev-Meinrenken), the discovery of a link between the Horn problem on eigenvalues of sums of Hermitian matrices and planar network combinatorics, and intimate links with the Topological Quantum Field Theory shared by the three topics.
The scientific objectives of the project include answering the following questions:
1) To find a universal non-commutative volume formula for moduli of flat connections which would contain the Witten’s volume formula, the Verlinde formula, and the Moore-Nekrasov-Shatashvili formula as particular cases.
2) To show that all solutions of the Kashiwara-Vergne problem come from Drinfeld associators. If the answer is indeed positive, it will have applications to the study of the Gothendieck-Teichmüller Lie algebra grt.
3) To find a Gelfand-Zeiltin type integrable system for the symplectic group Sp(2n). This question is open since 1983.
To achieve these goals, one needs to use a multitude of techniques. Here we single out the ones developed by the author:
- Quasi-symplectic and quasi-Poisson Geometry and the theory of group valued moment maps.
- The linearization method for Poisson-Lie groups relating the additive problem z=x+y and the multiplicative problem Z=XY.
- Free Lie algebra approach to the Kashiwara-Vergne theory, including the non-commutative divergence and Jacobian cocylces.
- Non-abelian topical calculus which establishes a link between the multiplicative problem and combinatorics of planar networks."
Max ERC Funding
2 148 211 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym NEUROCMOS
Project Seamless Integration of Neurons with CMOS Microelectronics
Researcher (PI) Andreas Reinhold Hierlemann
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Advanced Grant (AdG), PE7, ERC-2010-AdG_20100224
Summary We propose to seamlessly integrate advanced microelectronics and living neuronal cells in a comprehensive and interdisciplinary approach to significantly advance the understanding of neuronal behaviour. The project includes (a) the development of a novel multifunctional microelectronics chip platform in complementary metal oxide semiconductor (CMOS) technology, which serves to enable (b) key neurobiological and neuromedical research on network dynamics and plasticity of rodent neuronal networks and visual encoding in retinae, and (c) the necessary concurrent development of algorithms and models to efficiently process and maximally harness the unprecedented quality of the obtained data.
Neuronal or retinal preparations, such as acute and organotypic brain slices (retinae) or primary cultured, dissociated cells, will be directly placed or grown atop dedicated CMOS microelectronics chips. The chips will feature multiple functions, since neurons carry and pass signals to each other using electro-chemical mechanisms: electrophysiological recording & stimulation, in closed loop & real time, as well as highly spatially resolved impedance measurements and detection of neuroactive chemical compounds. The chips will be capable of delivering any of these functions to arbitrarily selectable individual cells or even subcellular units, and, at the same time, of interacting with a multitude of cells or complete neuronal networks. Along with imaging (light, fluorescence), pharmacological, and/or genetic methods, the developed chip platform will be used to study neuronal network dynamics, synaptic and axonal plasticity, relevant for many brain diseases, as well as visual encoding in the retina. Efficient data handling and spike sorting algorithms will be developed to facilitate these investigations. The multidimensional data will then be used to establish detailed models of neurons and neuronal networks.
Summary
We propose to seamlessly integrate advanced microelectronics and living neuronal cells in a comprehensive and interdisciplinary approach to significantly advance the understanding of neuronal behaviour. The project includes (a) the development of a novel multifunctional microelectronics chip platform in complementary metal oxide semiconductor (CMOS) technology, which serves to enable (b) key neurobiological and neuromedical research on network dynamics and plasticity of rodent neuronal networks and visual encoding in retinae, and (c) the necessary concurrent development of algorithms and models to efficiently process and maximally harness the unprecedented quality of the obtained data.
Neuronal or retinal preparations, such as acute and organotypic brain slices (retinae) or primary cultured, dissociated cells, will be directly placed or grown atop dedicated CMOS microelectronics chips. The chips will feature multiple functions, since neurons carry and pass signals to each other using electro-chemical mechanisms: electrophysiological recording & stimulation, in closed loop & real time, as well as highly spatially resolved impedance measurements and detection of neuroactive chemical compounds. The chips will be capable of delivering any of these functions to arbitrarily selectable individual cells or even subcellular units, and, at the same time, of interacting with a multitude of cells or complete neuronal networks. Along with imaging (light, fluorescence), pharmacological, and/or genetic methods, the developed chip platform will be used to study neuronal network dynamics, synaptic and axonal plasticity, relevant for many brain diseases, as well as visual encoding in the retina. Efficient data handling and spike sorting algorithms will be developed to facilitate these investigations. The multidimensional data will then be used to establish detailed models of neurons and neuronal networks.
Max ERC Funding
2 498 000 €
Duration
Start date: 2011-06-01, End date: 2016-05-31