Project acronym AGALT
Project Asymptotic Geometric Analysis and Learning Theory
Researcher (PI) Shahar Mendelson
Host Institution (HI) TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Call Details Starting Grant (StG), PE1, ERC-2007-StG
Summary In a typical learning problem one tries to approximate an unknown function by a function from a given class using random data, sampled according to an unknown measure. In this project we will be interested in parameters that govern the complexity of a learning problem. It turns out that this complexity is determined by the geometry of certain sets in high dimension that are connected to the given class (random coordinate projections of the class). Thus, one has to understand the structure of these sets as a function of the dimension - which is given by the cardinality of the random sample. The resulting analysis leads to many theoretical questions in Asymptotic Geometric Analysis, Probability (most notably, Empirical Processes Theory) and Combinatorics, which are of independent interest beyond the application to Learning Theory. Our main goal is to describe the role of various complexity parameters involved in a learning problem, to analyze the connections between them and to investigate the way they determine the geometry of the relevant high dimensional sets. Some of the questions we intend to tackle are well known open problems and making progress towards their solution will have a significant theoretical impact. Moreover, this project should lead to a more complete theory of learning and is likely to have some practical impact, for example, in the design of more efficient learning algorithms.
Summary
In a typical learning problem one tries to approximate an unknown function by a function from a given class using random data, sampled according to an unknown measure. In this project we will be interested in parameters that govern the complexity of a learning problem. It turns out that this complexity is determined by the geometry of certain sets in high dimension that are connected to the given class (random coordinate projections of the class). Thus, one has to understand the structure of these sets as a function of the dimension - which is given by the cardinality of the random sample. The resulting analysis leads to many theoretical questions in Asymptotic Geometric Analysis, Probability (most notably, Empirical Processes Theory) and Combinatorics, which are of independent interest beyond the application to Learning Theory. Our main goal is to describe the role of various complexity parameters involved in a learning problem, to analyze the connections between them and to investigate the way they determine the geometry of the relevant high dimensional sets. Some of the questions we intend to tackle are well known open problems and making progress towards their solution will have a significant theoretical impact. Moreover, this project should lead to a more complete theory of learning and is likely to have some practical impact, for example, in the design of more efficient learning algorithms.
Max ERC Funding
750 000 €
Duration
Start date: 2009-03-01, End date: 2014-02-28
Project acronym BIOSELFORGANIZATION
Project Biophysical aspects of self-organization in actin-based cell motility
Researcher (PI) Kinneret Magda Keren
Host Institution (HI) TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Call Details Starting Grant (StG), PE3, ERC-2007-StG
Summary Cell motility is a fascinating dynamic process crucial for a wide variety of biological phenomena including defense against injury or infection, embryogenesis and cancer metastasis. A spatially extended, self-organized, mechanochemical machine consisting of numerous actin polymers, accessory proteins and molecular motors drives this process. This impressive assembly self-organizes over several orders of magnitude in both the temporal and spatial domains bridging from the fast dynamics of individual molecular-sized building blocks to the persistent motion of whole cells over minutes and hours. The molecular players involved in the process and the basic biochemical mechanisms are largely known. However, the principles governing the assembly of the motility apparatus, which involve an intricate interplay between biophysical processes and biochemical reactions, are still poorly understood. The proposed research is focused on investigating the biophysical aspects of the self-organization processes underlying cell motility and trying to adapt these processes to instill motility in artificial cells. Important biophysical characteristics of moving cells such as the intracellular fluid flow and membrane tension will be measured and their effect on the motility process will be examined, using fish epithelial keratocytes as a model system. The dynamics of the system will be further investigated by quantitatively analyzing the morphological and kinematic variation displayed by a population of cells and by an individual cell through time. Such measurements will feed into and direct the development of quantitative theoretical models. In parallel, I will work toward the development of a synthetic physical model system for cell motility by encapsulating the actin machinery in a cell-sized compartment. This synthetic system will allow cell motility to be studied in a simplified and controlled environment, detached from the complexity of the living cell.
Summary
Cell motility is a fascinating dynamic process crucial for a wide variety of biological phenomena including defense against injury or infection, embryogenesis and cancer metastasis. A spatially extended, self-organized, mechanochemical machine consisting of numerous actin polymers, accessory proteins and molecular motors drives this process. This impressive assembly self-organizes over several orders of magnitude in both the temporal and spatial domains bridging from the fast dynamics of individual molecular-sized building blocks to the persistent motion of whole cells over minutes and hours. The molecular players involved in the process and the basic biochemical mechanisms are largely known. However, the principles governing the assembly of the motility apparatus, which involve an intricate interplay between biophysical processes and biochemical reactions, are still poorly understood. The proposed research is focused on investigating the biophysical aspects of the self-organization processes underlying cell motility and trying to adapt these processes to instill motility in artificial cells. Important biophysical characteristics of moving cells such as the intracellular fluid flow and membrane tension will be measured and their effect on the motility process will be examined, using fish epithelial keratocytes as a model system. The dynamics of the system will be further investigated by quantitatively analyzing the morphological and kinematic variation displayed by a population of cells and by an individual cell through time. Such measurements will feed into and direct the development of quantitative theoretical models. In parallel, I will work toward the development of a synthetic physical model system for cell motility by encapsulating the actin machinery in a cell-sized compartment. This synthetic system will allow cell motility to be studied in a simplified and controlled environment, detached from the complexity of the living cell.
Max ERC Funding
900 000 €
Duration
Start date: 2008-08-01, End date: 2013-07-31
Project acronym BRAINPLASTICITY
Project In vivo imaging of functional plasticity in the mammalian brain
Researcher (PI) Adi Mizrahi
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Call Details Starting Grant (StG), LS4, ERC-2007-StG
Summary "The dynamic nature of the brain operates at disparate time scales ranging from milliseconds to months. How do single neurons change over such long time scales? This question remains stubborn to answer in the field of brain plasticity mainly because of limited tools to study the physiology of single neurons over time in the complex environment of the brain. The research aim of this proposal is to reveal the physiological changes of single neurons in the mammalian brain over disparate time scales using time-lapse optical imaging. Specifically, we aim to establish a new team that will develop genetic and optical tools to probe the physiological activity of single neurons, in vivo. As a model system, we will study a unique neuronal population in the mammalian brain; the adult-born local neurons in the olfactory bulb. These neurons have tremendous potential to reveal how neurons develop and maintain in the intact brain because they are accessible both genetically and optically. By following the behavior of adult-born neurons in vivo we will discover how neurons mature and maintain over days and weeks. If our objectives will be met, this study has the potential to significantly ""raise the bar"" on how neuronal plasticity is studied and reveal some basic secrets of the ever changing mammalian brain."
Summary
"The dynamic nature of the brain operates at disparate time scales ranging from milliseconds to months. How do single neurons change over such long time scales? This question remains stubborn to answer in the field of brain plasticity mainly because of limited tools to study the physiology of single neurons over time in the complex environment of the brain. The research aim of this proposal is to reveal the physiological changes of single neurons in the mammalian brain over disparate time scales using time-lapse optical imaging. Specifically, we aim to establish a new team that will develop genetic and optical tools to probe the physiological activity of single neurons, in vivo. As a model system, we will study a unique neuronal population in the mammalian brain; the adult-born local neurons in the olfactory bulb. These neurons have tremendous potential to reveal how neurons develop and maintain in the intact brain because they are accessible both genetically and optically. By following the behavior of adult-born neurons in vivo we will discover how neurons mature and maintain over days and weeks. If our objectives will be met, this study has the potential to significantly ""raise the bar"" on how neuronal plasticity is studied and reveal some basic secrets of the ever changing mammalian brain."
Max ERC Funding
1 750 000 €
Duration
Start date: 2008-08-01, End date: 2013-07-31
Project acronym DMMCA
Project Discrete Mathematics: methods, challenges and applications
Researcher (PI) Noga Alon
Host Institution (HI) TEL AVIV UNIVERSITY
Call Details Advanced Grant (AdG), PE1, ERC-2008-AdG
Summary Discrete Mathematics is a fundamental mathematical discipline as well as an essential component of many mathematical areas, and its study has experienced an impressive growth in recent years. Some of the main reasons for this growth are the broad applications of tools and techniques from extremal and probabilistic combinatorics in the rapid development of theoretical Computer Science, in the spectacular recent results in Additive Number Theory and in the study of basic questions in Information Theory. While in the past many of the basic combinatorial results were obtained mainly by ingenuity and detailed reasoning, the modern theory has grown out of this early stage, and often relies on deep, well developed tools, like the probabilistic method, algebraic, topological and geometric techniques. The work of the principal investigator, partly jointly with several collaborators and students, and partly in individual efforts, has played a significant role in the introduction of powerful algebraic, probabilistic, spectral and geometric techniques that influenced the development of modern combinatorics. In the present project he aims to try and further develop such tools, trying to tackle some basic open problems in Combinatorics, as well as significant questions in Additive Combinatorics, Information Theory, and theoretical Computer Science. Progress on the problems mentioned in this proposal, and the study of related ones, is expected to provide new insights on these problems and to lead to the development of novel fruitful techniques that are likely to be useful in Discrete Mathematics as well as in related areas.
Summary
Discrete Mathematics is a fundamental mathematical discipline as well as an essential component of many mathematical areas, and its study has experienced an impressive growth in recent years. Some of the main reasons for this growth are the broad applications of tools and techniques from extremal and probabilistic combinatorics in the rapid development of theoretical Computer Science, in the spectacular recent results in Additive Number Theory and in the study of basic questions in Information Theory. While in the past many of the basic combinatorial results were obtained mainly by ingenuity and detailed reasoning, the modern theory has grown out of this early stage, and often relies on deep, well developed tools, like the probabilistic method, algebraic, topological and geometric techniques. The work of the principal investigator, partly jointly with several collaborators and students, and partly in individual efforts, has played a significant role in the introduction of powerful algebraic, probabilistic, spectral and geometric techniques that influenced the development of modern combinatorics. In the present project he aims to try and further develop such tools, trying to tackle some basic open problems in Combinatorics, as well as significant questions in Additive Combinatorics, Information Theory, and theoretical Computer Science. Progress on the problems mentioned in this proposal, and the study of related ones, is expected to provide new insights on these problems and to lead to the development of novel fruitful techniques that are likely to be useful in Discrete Mathematics as well as in related areas.
Max ERC Funding
1 061 300 €
Duration
Start date: 2008-12-01, End date: 2013-11-30
Project acronym EXPANDERS
Project Expander Graphs in Pure and Applied Mathematics
Researcher (PI) Alexander Lubotzky
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Call Details Advanced Grant (AdG), PE1, ERC-2008-AdG
Summary Expander graphs are finite graphs which play a fundamental role in many areas of computer science such as: communication networks, algorithms and more. Several areas of deep mathematics have been used in order to give explicit constructions of such graphs e.g. Kazhdan property (T) from representation theory of semisimple Lie groups, Ramanujan conjecture from the theory of automorphic forms and more. In recent years, computer science has started to pay its debt to mathematics: expander graphs are playing an increasing role in several areas of pure mathematics. The goal of the current research plan is to deepen these connections in both directions with special emphasis of the more recent and surprising application of expanders to group theory, the geometry of 3-manifolds and number theory.
Summary
Expander graphs are finite graphs which play a fundamental role in many areas of computer science such as: communication networks, algorithms and more. Several areas of deep mathematics have been used in order to give explicit constructions of such graphs e.g. Kazhdan property (T) from representation theory of semisimple Lie groups, Ramanujan conjecture from the theory of automorphic forms and more. In recent years, computer science has started to pay its debt to mathematics: expander graphs are playing an increasing role in several areas of pure mathematics. The goal of the current research plan is to deepen these connections in both directions with special emphasis of the more recent and surprising application of expanders to group theory, the geometry of 3-manifolds and number theory.
Max ERC Funding
1 082 504 €
Duration
Start date: 2008-10-01, End date: 2014-09-30
Project acronym FQHE
Project Statistics of Fractionally Charged Quasi-Particles
Researcher (PI) Mordehai (Moty) Heiblum
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Call Details Advanced Grant (AdG), PE3, ERC-2008-AdG
Summary The discovery of the fractional quantum Hall effect created a revolution in solid state research by introducing a new state of matter resulting from strong electron interactions. The new state is characterized by excitations (quasi-particles) that carry fractional charge, which are expected to obey fractional statistics. While odd denominator fractional states are expected to have an abelian statistics, the newly discovered 5/2 even denominator fractional state is expected to have a non-abelian statistics. Moreover, a large number of emerging proposals predict that the latter state can be employed for topological quantum computing ( Station Q was founded by Microsoft Corp. in order to pursue this goal). This proposal aims at studying the abelian and non-abelian fractional charges, and in particular to observe their peculiar statistics. While charges are preferably determined by measuring quantum shot noise, their statistics must be determined via interference experiments, where one particle goes around another. The experiments are very demanding since the even denominator fractions turn to be very fragile and thus can be observed only in the purest possible two dimensional electron gas and at the lowest temperatures. While until very recently such high quality samples were available only by a single grower (in the USA), we have the capability now to grow extremely pure samples with profound even denominator states. As will be detailed in the proposal, we have all the necessary tools to study charge and statistics of these fascinating excitations, due to our experience in crystal growth, shot noise and interferometry measurements.
Summary
The discovery of the fractional quantum Hall effect created a revolution in solid state research by introducing a new state of matter resulting from strong electron interactions. The new state is characterized by excitations (quasi-particles) that carry fractional charge, which are expected to obey fractional statistics. While odd denominator fractional states are expected to have an abelian statistics, the newly discovered 5/2 even denominator fractional state is expected to have a non-abelian statistics. Moreover, a large number of emerging proposals predict that the latter state can be employed for topological quantum computing ( Station Q was founded by Microsoft Corp. in order to pursue this goal). This proposal aims at studying the abelian and non-abelian fractional charges, and in particular to observe their peculiar statistics. While charges are preferably determined by measuring quantum shot noise, their statistics must be determined via interference experiments, where one particle goes around another. The experiments are very demanding since the even denominator fractions turn to be very fragile and thus can be observed only in the purest possible two dimensional electron gas and at the lowest temperatures. While until very recently such high quality samples were available only by a single grower (in the USA), we have the capability now to grow extremely pure samples with profound even denominator states. As will be detailed in the proposal, we have all the necessary tools to study charge and statistics of these fascinating excitations, due to our experience in crystal growth, shot noise and interferometry measurements.
Max ERC Funding
2 000 000 €
Duration
Start date: 2009-01-01, End date: 2013-12-31
Project acronym GELANDERINDGEOMRGD
Project Independence of Group Elements and Geometric Rigidity
Researcher (PI) Tsachik Gelander
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Call Details Starting Grant (StG), PE1, ERC-2007-StG
Summary The proposed research contains two main directions in group theory and geometry: Independence of Group Elements and Geometric Rigidity. The first consists of problems related to the existence of free subgroups, uniform and effective ways of producing such, and analogous questions for finite groups where the analog of independent elements are elements for which the Cayley graph has a large girth, or non-small expanding constant. This line of research began almost a century ago and contains many important works including works of Hausdorff, Banach and Tarski on paradoxical decompositions, works of Margulis, Sullivan and Drinfeld on the Banach-Ruziewicz problem, the classical Tits Alternative, Margulis-Soifer result on maximal subgroups, the recent works of Eskin-Mozes-Oh and Bourgain-Gamburd, etc. Among the famous questions is Milnor's problem on the exponential verses polynomial growth for f.p. groups, originally stated for f.g. groups but reformulated after Grigorchuk's counterexample. Related works of the PI includes a joint work with Breuillard on the topological Tits alternative, where several well known conjectures were solved, e.g. the foliated version of Milnor's problem conjectured by Carriere, and on the uniform Tits alternative which significantly improved Tits' and EMO theorems. A joint work with Glasner on primitive groups where in particular a conjecture of Higman and Neumann was solved. A paper on the deformation varieties where a conjecture of Margulis and Soifer and a conjecture of Goldman were proved. The second involves extensions of Margulis' and Mostow's rigidity theorems to actions of lattices in general topological groups on metric spaces, and extensions of Kazhdan's property (T) for group actions on Banach and metric spaces. This area is very active today. Related work of the PI includes his joint work with Karlsson and Margulis on generalized harmonic maps, and his joint work with Bader, Furman and Monod on actions on Banach spaces.
Summary
The proposed research contains two main directions in group theory and geometry: Independence of Group Elements and Geometric Rigidity. The first consists of problems related to the existence of free subgroups, uniform and effective ways of producing such, and analogous questions for finite groups where the analog of independent elements are elements for which the Cayley graph has a large girth, or non-small expanding constant. This line of research began almost a century ago and contains many important works including works of Hausdorff, Banach and Tarski on paradoxical decompositions, works of Margulis, Sullivan and Drinfeld on the Banach-Ruziewicz problem, the classical Tits Alternative, Margulis-Soifer result on maximal subgroups, the recent works of Eskin-Mozes-Oh and Bourgain-Gamburd, etc. Among the famous questions is Milnor's problem on the exponential verses polynomial growth for f.p. groups, originally stated for f.g. groups but reformulated after Grigorchuk's counterexample. Related works of the PI includes a joint work with Breuillard on the topological Tits alternative, where several well known conjectures were solved, e.g. the foliated version of Milnor's problem conjectured by Carriere, and on the uniform Tits alternative which significantly improved Tits' and EMO theorems. A joint work with Glasner on primitive groups where in particular a conjecture of Higman and Neumann was solved. A paper on the deformation varieties where a conjecture of Margulis and Soifer and a conjecture of Goldman were proved. The second involves extensions of Margulis' and Mostow's rigidity theorems to actions of lattices in general topological groups on metric spaces, and extensions of Kazhdan's property (T) for group actions on Banach and metric spaces. This area is very active today. Related work of the PI includes his joint work with Karlsson and Margulis on generalized harmonic maps, and his joint work with Bader, Furman and Monod on actions on Banach spaces.
Max ERC Funding
750 000 €
Duration
Start date: 2008-07-01, End date: 2013-12-31
Project acronym NANOSQUID
Project Scanning Nano-SQUID on a Tip
Researcher (PI) Eli Zeldov
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Call Details Advanced Grant (AdG), PE3, ERC-2008-AdG
Summary At the boundaries of physics research it is constantly necessary to introduce new tools and methods to expand the horizons and address fundamental issues. In this proposal, we will develop and then apply radically new tools that will enable groundbreaking progress in the field of vortex matter in superconductors and will be of great importance to condensed matter physics and nanoscience. We propose a new scanning magnetic imaging method based on self-aligned fabrication of Josephson junctions with characteristic sizes of 10 nm and superconducting quantum interference devices (SQUID) with typical diameter of 100 nm on the end of a pulled quartz tip. Such nano-SQUID on a tip will provide high-sensitivity high-bandwidth mapping of static and dynamic magnetic fields on nanometer scale that is significantly beyond the state of the art. We will develop a new washboard frequency dynamic microscopy for imaging of site-dependent vortex velocities over a remarkable range of over six orders of magnitude in velocity that is expected to reveal the most interesting dynamic phenomena in vortex mater that could not be investigated so far. Our study will provide a novel bottom-up comprehension of microscopic vortex dynamics from single vortex up to numerous predicted dynamic phase transitions, including disorder-dependent depinning processes, plastic deformations, channel flow, metastabilities and memory effects, moving smectic, moving Bragg glass, and dynamic melting. We will also develop a hybrid technology that combines a single electron transistor with nano-SQUID which will provide an unprecedented simultaneous nanoscale imaging of magnetic and electric fields. Using these tools we will carry out innovative studies of additional nano-systems and exciting quantum phenomena, including quantum tunneling in molecular magnets, spin injection and magnetic domain wall dynamics, vortex charge, unconventional superconductivity, and coexistence of superconductivity and ferromagnetism.
Summary
At the boundaries of physics research it is constantly necessary to introduce new tools and methods to expand the horizons and address fundamental issues. In this proposal, we will develop and then apply radically new tools that will enable groundbreaking progress in the field of vortex matter in superconductors and will be of great importance to condensed matter physics and nanoscience. We propose a new scanning magnetic imaging method based on self-aligned fabrication of Josephson junctions with characteristic sizes of 10 nm and superconducting quantum interference devices (SQUID) with typical diameter of 100 nm on the end of a pulled quartz tip. Such nano-SQUID on a tip will provide high-sensitivity high-bandwidth mapping of static and dynamic magnetic fields on nanometer scale that is significantly beyond the state of the art. We will develop a new washboard frequency dynamic microscopy for imaging of site-dependent vortex velocities over a remarkable range of over six orders of magnitude in velocity that is expected to reveal the most interesting dynamic phenomena in vortex mater that could not be investigated so far. Our study will provide a novel bottom-up comprehension of microscopic vortex dynamics from single vortex up to numerous predicted dynamic phase transitions, including disorder-dependent depinning processes, plastic deformations, channel flow, metastabilities and memory effects, moving smectic, moving Bragg glass, and dynamic melting. We will also develop a hybrid technology that combines a single electron transistor with nano-SQUID which will provide an unprecedented simultaneous nanoscale imaging of magnetic and electric fields. Using these tools we will carry out innovative studies of additional nano-systems and exciting quantum phenomena, including quantum tunneling in molecular magnets, spin injection and magnetic domain wall dynamics, vortex charge, unconventional superconductivity, and coexistence of superconductivity and ferromagnetism.
Max ERC Funding
2 000 000 €
Duration
Start date: 2008-12-01, End date: 2013-11-30
Project acronym ODORSPACE
Project Predicting odor perception from odorant structure and neural activity in the olfactory system
Researcher (PI) Noam Sobel
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Call Details Starting Grant (StG), LS4, ERC-2007-StG
Summary The rules linking odor perception to odorant structure are unknown. No scientist nor perfumer can predict an odor based on its molecular structure, or decipher a molecular structure based on its smell. It is this puzzle we aim to solve. In vision and audition coding was probed by linking critical physical stimulus dimensions (wavelength/frequency) to patterns of neural activity. But what are the critical physical dimensions in olfaction? Scientists have probed this by linking restricted physico-chemical aspects of the stimulus, e.g., carbon chain-length, to neural activity. However, the olfactory system did not evolve to decode carbon chain-length, but rather to encode the world around us as revealed in olfactory perception. With this in mind we developed a novel perception-based olfactory space with tangible olfactory axes, based on statistical dimension-reduction of perceptual estimates obtained from humans. In Aim 1 we will test the hypothesis that our generated space predicts olfactory perception in humans. In Aim 2 we will test the hypothesis that our generated space predicts odorant-induced neural activity in olfactory cortex (using fMRI) and epithelium (using novel methods for measurement from human neurons in vivo, methods then further explored as a potential diagnostic tool for Alzheimer's disease). In Aim 3 we will test the hypothesis that our generated space explains neural activity previously measured in the olfactory system across species. In Aim 4 we will use this framework to tune an artificial nose for medical diagnostics. In vision and audition scientists can probe the system within agreed dimensions (color/wavelength; pitch/frequency). Similarly, our proposal generates an olfactory space where one can systematically probe molecular receptor tuning-curves, cellular spatial and temporal coding schemes, as well as higher-order perception. In other words, we propose a common framework for olfaction research.
Summary
The rules linking odor perception to odorant structure are unknown. No scientist nor perfumer can predict an odor based on its molecular structure, or decipher a molecular structure based on its smell. It is this puzzle we aim to solve. In vision and audition coding was probed by linking critical physical stimulus dimensions (wavelength/frequency) to patterns of neural activity. But what are the critical physical dimensions in olfaction? Scientists have probed this by linking restricted physico-chemical aspects of the stimulus, e.g., carbon chain-length, to neural activity. However, the olfactory system did not evolve to decode carbon chain-length, but rather to encode the world around us as revealed in olfactory perception. With this in mind we developed a novel perception-based olfactory space with tangible olfactory axes, based on statistical dimension-reduction of perceptual estimates obtained from humans. In Aim 1 we will test the hypothesis that our generated space predicts olfactory perception in humans. In Aim 2 we will test the hypothesis that our generated space predicts odorant-induced neural activity in olfactory cortex (using fMRI) and epithelium (using novel methods for measurement from human neurons in vivo, methods then further explored as a potential diagnostic tool for Alzheimer's disease). In Aim 3 we will test the hypothesis that our generated space explains neural activity previously measured in the olfactory system across species. In Aim 4 we will use this framework to tune an artificial nose for medical diagnostics. In vision and audition scientists can probe the system within agreed dimensions (color/wavelength; pitch/frequency). Similarly, our proposal generates an olfactory space where one can systematically probe molecular receptor tuning-curves, cellular spatial and temporal coding schemes, as well as higher-order perception. In other words, we propose a common framework for olfaction research.
Max ERC Funding
1 596 000 €
Duration
Start date: 2008-08-01, End date: 2013-07-31