Project acronym 3DNANOMECH
Project Three-dimensional molecular resolution mapping of soft matter-liquid interfaces
Researcher (PI) Ricardo Garcia
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Advanced Grant (AdG), PE4, ERC-2013-ADG
Summary Optical, electron and probe microscopes are enabling tools for discoveries and knowledge generation in nanoscale sicence and technology. High resolution –nanoscale or molecular-, noninvasive and label-free imaging of three-dimensional soft matter-liquid interfaces has not been achieved by any microscopy method.
Force microscopy (AFM) is considered the second most relevant advance in materials science since 1960. Despite its impressive range of applications, the technique has some key limitations. Force microscopy has not three dimensional depth. What lies above or in the subsurface is not readily characterized.
3DNanoMech proposes to design, build and operate a high speed force-based method for the three-dimensional characterization soft matter-liquid interfaces (3D AFM). The microscope will combine a detection method based on force perturbations, adaptive algorithms, high speed piezo actuators and quantitative-oriented multifrequency approaches. The development of the microscope cannot be separated from its applications: imaging the error-free DNA repair and to understand the relationship existing between the nanomechanical properties and the malignancy of cancer cells. Those problems encompass the different spatial –molecular-nano-mesoscopic- and time –milli to seconds- scales of the instrument.
In short, 3DNanoMech aims to image, map and measure with picoNewton, millisecond and angstrom resolution soft matter surfaces and interfaces in liquid. The long-term vision of 3DNanoMech is to replace models or computer animations of bimolecular-liquid interfaces by real time, molecular resolution maps of properties and processes.
Summary
Optical, electron and probe microscopes are enabling tools for discoveries and knowledge generation in nanoscale sicence and technology. High resolution –nanoscale or molecular-, noninvasive and label-free imaging of three-dimensional soft matter-liquid interfaces has not been achieved by any microscopy method.
Force microscopy (AFM) is considered the second most relevant advance in materials science since 1960. Despite its impressive range of applications, the technique has some key limitations. Force microscopy has not three dimensional depth. What lies above or in the subsurface is not readily characterized.
3DNanoMech proposes to design, build and operate a high speed force-based method for the three-dimensional characterization soft matter-liquid interfaces (3D AFM). The microscope will combine a detection method based on force perturbations, adaptive algorithms, high speed piezo actuators and quantitative-oriented multifrequency approaches. The development of the microscope cannot be separated from its applications: imaging the error-free DNA repair and to understand the relationship existing between the nanomechanical properties and the malignancy of cancer cells. Those problems encompass the different spatial –molecular-nano-mesoscopic- and time –milli to seconds- scales of the instrument.
In short, 3DNanoMech aims to image, map and measure with picoNewton, millisecond and angstrom resolution soft matter surfaces and interfaces in liquid. The long-term vision of 3DNanoMech is to replace models or computer animations of bimolecular-liquid interfaces by real time, molecular resolution maps of properties and processes.
Max ERC Funding
2 499 928 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym BIO2CHEM-D
Project Biomass to chemicals: Catalysis design from first principles for a sustainable chemical industry
Researcher (PI) Nuria Lopez
Host Institution (HI) FUNDACIO PRIVADA INSTITUT CATALA D'INVESTIGACIO QUIMICA
Call Details Starting Grant (StG), PE4, ERC-2010-StG_20091028
Summary The use of renewable feedstocks by the chemical industry is fundamental due to both the depletion of fossil
resources and the increasing pressure of environmental concerns. Biomass can act as a sustainable source of
organic industrial chemicals; however, the establishment of a renewable chemical industry that is
economically competitive with the present oil-based one requires the development of new processes to
convert biomass-derived compounds into useful industrial materials following the principles of green
chemistry. To achieve these goals, developments in several fields including heterogeneous catalysis are
needed. One of the ways to accelerate the discovery of new potentially active, selective and stable catalysts is
the massive use of computational chemistry. Recent advances have demonstrated that Density Functional
Theory coupled to ab initio thermodynamics, transition state theory and microkinetic analysis can provide a
full view of the catalytic phenomena.
The aim of the present project is thus to employ these well-tested computational techniques to the
development of a theoretical framework that can accelerate the identification of new catalysts for the
conversion of biomass derived target compounds into useful chemicals. Since compared to petroleum-based
materials-biomass derived ones are multifuncionalized, the search for new catalytic materials and processes
has a strong requirement in the selectivity of the chemical transformations. The main challenges in the
project are related to the high functionalization of the molecules, their liquid nature and the large number of
potentially competitive reaction paths. The requirements of specificity and selectivity in the chemical
transformations while keeping a reasonably flexible framework constitute a major objective. The work will
be divided in three main work packages, one devoted to the properties of small molecules or fragments
containing a single functional group; the second addresses competition in multiple functionalized molecules;
and third is dedicated to the specific transformations of two molecules that have already been identified as
potential platform generators. The goal is to identify suitable candidates that could be synthetized and tested
in the Institute facilities.
Summary
The use of renewable feedstocks by the chemical industry is fundamental due to both the depletion of fossil
resources and the increasing pressure of environmental concerns. Biomass can act as a sustainable source of
organic industrial chemicals; however, the establishment of a renewable chemical industry that is
economically competitive with the present oil-based one requires the development of new processes to
convert biomass-derived compounds into useful industrial materials following the principles of green
chemistry. To achieve these goals, developments in several fields including heterogeneous catalysis are
needed. One of the ways to accelerate the discovery of new potentially active, selective and stable catalysts is
the massive use of computational chemistry. Recent advances have demonstrated that Density Functional
Theory coupled to ab initio thermodynamics, transition state theory and microkinetic analysis can provide a
full view of the catalytic phenomena.
The aim of the present project is thus to employ these well-tested computational techniques to the
development of a theoretical framework that can accelerate the identification of new catalysts for the
conversion of biomass derived target compounds into useful chemicals. Since compared to petroleum-based
materials-biomass derived ones are multifuncionalized, the search for new catalytic materials and processes
has a strong requirement in the selectivity of the chemical transformations. The main challenges in the
project are related to the high functionalization of the molecules, their liquid nature and the large number of
potentially competitive reaction paths. The requirements of specificity and selectivity in the chemical
transformations while keeping a reasonably flexible framework constitute a major objective. The work will
be divided in three main work packages, one devoted to the properties of small molecules or fragments
containing a single functional group; the second addresses competition in multiple functionalized molecules;
and third is dedicated to the specific transformations of two molecules that have already been identified as
potential platform generators. The goal is to identify suitable candidates that could be synthetized and tested
in the Institute facilities.
Max ERC Funding
1 496 200 €
Duration
Start date: 2010-10-01, End date: 2015-09-30
Project acronym BRAIN2BRAIN
Project Towards two-person neuroscience
Researcher (PI) Riitta Kyllikki Hari
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), LS5, ERC-2008-AdG
Summary Humans interact with other people throughout their lives. This project aims to demonstrate that the complex social shaping of the human brain can be adequately tackled only by taking a leap from the conven-tional single-person neuroscience to two-person neuroscience. We will (1) develop a conceptual framework and experimental setups for two-person neuroscience, (2) apply time-sensitive methods for studies of two interacting persons, monitoring both brain and autonomic nervous activity to also cover the brain body connection, (3) use gaze as an index of subject s attention to simplify signal analysis in natural environments, and (4) apply insights from two-person neuroscience into disorders of social interaction. Brain activity will be recorded with millisecond-accurate whole-scalp (306-channel) magnetoencepha-lography (MEG), associated with EEG, and with the millimeter-accurate 3-tesla functional magnetic reso-nance imaging (fMRI). Heart rate, respiration, galvanic skin response, and pupil diameter inform about body function. A new psychophysiological interaction setting will be built, comprising a two-person eye-tracking system. Novel analysis methods will be developed to follow the interaction and possible synchronization of the two persons signals. This uncoventional approach crosses borders of neuroscience, social psychology, psychophysiology, psychiatry, medical imaging, and signal analysis, with intriguing connections to old philosophical questions, such as intersubjectivity and emphatic attunement. The results could open an unprecedented window into human human, instead of just brain brain, interactions, helping to understand also social disorders, such as autism and schizophrenia. Further applications include master apprentice and patient therapist relationships. Advancing from studies of single persons towards two-person neuroscience shows promise of a break-through in understanding the dynamic social shaping of human brain and mind.
Summary
Humans interact with other people throughout their lives. This project aims to demonstrate that the complex social shaping of the human brain can be adequately tackled only by taking a leap from the conven-tional single-person neuroscience to two-person neuroscience. We will (1) develop a conceptual framework and experimental setups for two-person neuroscience, (2) apply time-sensitive methods for studies of two interacting persons, monitoring both brain and autonomic nervous activity to also cover the brain body connection, (3) use gaze as an index of subject s attention to simplify signal analysis in natural environments, and (4) apply insights from two-person neuroscience into disorders of social interaction. Brain activity will be recorded with millisecond-accurate whole-scalp (306-channel) magnetoencepha-lography (MEG), associated with EEG, and with the millimeter-accurate 3-tesla functional magnetic reso-nance imaging (fMRI). Heart rate, respiration, galvanic skin response, and pupil diameter inform about body function. A new psychophysiological interaction setting will be built, comprising a two-person eye-tracking system. Novel analysis methods will be developed to follow the interaction and possible synchronization of the two persons signals. This uncoventional approach crosses borders of neuroscience, social psychology, psychophysiology, psychiatry, medical imaging, and signal analysis, with intriguing connections to old philosophical questions, such as intersubjectivity and emphatic attunement. The results could open an unprecedented window into human human, instead of just brain brain, interactions, helping to understand also social disorders, such as autism and schizophrenia. Further applications include master apprentice and patient therapist relationships. Advancing from studies of single persons towards two-person neuroscience shows promise of a break-through in understanding the dynamic social shaping of human brain and mind.
Max ERC Funding
2 489 643 €
Duration
Start date: 2009-01-01, End date: 2014-12-31
Project acronym CeMoMagneto
Project The Cellular and Molecular Basis of Magnetoreception
Researcher (PI) David Anthony Keays
Host Institution (HI) FORSCHUNGSINSTITUT FUR MOLEKULARE PATHOLOGIE GESELLSCHAFT MBH
Call Details Starting Grant (StG), LS5, ERC-2013-StG
Summary Each year millions of animals undertake remarkable migratory journeys, across oceans and through hemispheres, guided by the Earth’s magnetic field. The cellular and molecular basis of this enigmatic sense, known as magnetoreception, remains an unsolved scientific mystery. One hypothesis that attempts to explain the basis of this sensory faculty is known as the magnetite theory of magnetoreception. It argues that magnetic information is transduced into a neuronal impulse by employing the iron oxide magnetite (Fe3O4). Current evidence indicates that pigeons employ a magnetoreceptor that is associated with the ophthalmic branch of the trigeminal nerve and the vestibular system, but the sensory cells remain undiscovered. The goal of this ambitious proposal is to discover the cells and molecules that mediate magnetoreception. This overall objective can be divided into three specific aims: (1) the identification of putative magnetoreceptive cells (PMCs); (2) the cellular characterisation of PMCs; and (3) the discovery and functional ablation of molecules specific to PMCs. In tackling these three aims this proposal adopts a reductionist mindset, employing and developing the latest imaging, subcellular, and molecular technologies.
Summary
Each year millions of animals undertake remarkable migratory journeys, across oceans and through hemispheres, guided by the Earth’s magnetic field. The cellular and molecular basis of this enigmatic sense, known as magnetoreception, remains an unsolved scientific mystery. One hypothesis that attempts to explain the basis of this sensory faculty is known as the magnetite theory of magnetoreception. It argues that magnetic information is transduced into a neuronal impulse by employing the iron oxide magnetite (Fe3O4). Current evidence indicates that pigeons employ a magnetoreceptor that is associated with the ophthalmic branch of the trigeminal nerve and the vestibular system, but the sensory cells remain undiscovered. The goal of this ambitious proposal is to discover the cells and molecules that mediate magnetoreception. This overall objective can be divided into three specific aims: (1) the identification of putative magnetoreceptive cells (PMCs); (2) the cellular characterisation of PMCs; and (3) the discovery and functional ablation of molecules specific to PMCs. In tackling these three aims this proposal adopts a reductionist mindset, employing and developing the latest imaging, subcellular, and molecular technologies.
Max ERC Funding
1 499 752 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym CHEMAGEB
Project CHEMometric and High-throughput Omics Analytical Methods for Assessment of Global Change Effects on Environmental and Biological Systems
Researcher (PI) Roman Tauler Ferrer
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Advanced Grant (AdG), PE4, ERC-2012-ADG_20120216
Summary We propose to develop new chemometric and high-throughput analytical methods to assess the effects of environmental and climate changes on target biological systems which are representative of ecosystems. This project will combine powerful chemometric and analytical high-throughput methodologies with toxicological tests to examine the effects of environmental stressors (like chemical pollution) and of climate change (like temperature, water scarcity or food shortage), on genomic and metabonomic profiles of target biological systems. The complex nature of experimental data produced by high-throughput analytical techniques, such as DNA microarrays, hyphenated chromatography-mass spectrometry or multi-dimensional nuclear magnetic resonance spectroscopy, requires powerful data analysis tools to extract, summarize and interpret the large amount of information that such megavariate data sets may contain. There is a need to improve and automate every step in the analysis of the data generated from genomic and metabonomic studies using new chemometric and multi- and megavariate tools. The main purpose of this project is to develop such tools. As a result of the whole study, a detailed report on the effects of global change and chemical pollution on the genomic and metabonomic profiles of a selected set of representative target biological systems will be delivered and used for global risk assessment. The information acquired, data sets and computer software will be stored in public data bases using modern data compression and data management technologies. And all the methodologies developed in the project will be published.
Summary
We propose to develop new chemometric and high-throughput analytical methods to assess the effects of environmental and climate changes on target biological systems which are representative of ecosystems. This project will combine powerful chemometric and analytical high-throughput methodologies with toxicological tests to examine the effects of environmental stressors (like chemical pollution) and of climate change (like temperature, water scarcity or food shortage), on genomic and metabonomic profiles of target biological systems. The complex nature of experimental data produced by high-throughput analytical techniques, such as DNA microarrays, hyphenated chromatography-mass spectrometry or multi-dimensional nuclear magnetic resonance spectroscopy, requires powerful data analysis tools to extract, summarize and interpret the large amount of information that such megavariate data sets may contain. There is a need to improve and automate every step in the analysis of the data generated from genomic and metabonomic studies using new chemometric and multi- and megavariate tools. The main purpose of this project is to develop such tools. As a result of the whole study, a detailed report on the effects of global change and chemical pollution on the genomic and metabonomic profiles of a selected set of representative target biological systems will be delivered and used for global risk assessment. The information acquired, data sets and computer software will be stored in public data bases using modern data compression and data management technologies. And all the methodologies developed in the project will be published.
Max ERC Funding
2 454 280 €
Duration
Start date: 2013-04-01, End date: 2018-03-31
Project acronym CONCERT
Project Description of information transfer across macromolecules by concerted conformational changes
Researcher (PI) Xavier Salvatella Giralt
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Call Details Consolidator Grant (CoG), PE4, ERC-2014-CoG
Summary Signal transduction in biology relies on the transfer of information across biomolecules by concerted conformational changes that cannot currently be characterized experimentally at high resolution. In CONCERT we will develop a method based on the use of nuclear magnetic resonance spectroscopy in solution that will provide very detailed descriptions of such changes by using the information about structural heterogeneity contained in a parameter that is exquisitely sensitive to molecular shape called residual dipolar coupling measured in steric alignment. To show how this new method will allow the study of information transfer we will determine conformational ensembles that will report on the intra and inter-domain concerted conformational changes that activate the androgen receptor, a large allosteric multi-domain protein that regulates the male phenotype and is a therapeutic target for castration resistant prostate cancer, the condition suffered by prostate cancer patients that have become refractory to hormone therapy, the first line of treatment for this disease. To complement the structural information obtained by nuclear magnetic resonance and, especially, measure the rate of information transfer across the androgen receptor we will carry out in a collaborative fashion high precision single molecule Förster resonance energy transfer and fluorescence correlation spectroscopy experiments on AR constructs labelled with fluorescent dyes. In summary we will develop a method that will make it possible to describe some of the most fascinating biological phenomena, such as allostery and signal transduction, and will, in the long term, be an instrument for the discovery of drugs to treat castration resistant prostate cancer, a late stage of prostate cancer that is incurable and kills ca. 70.000 European men every year.
Summary
Signal transduction in biology relies on the transfer of information across biomolecules by concerted conformational changes that cannot currently be characterized experimentally at high resolution. In CONCERT we will develop a method based on the use of nuclear magnetic resonance spectroscopy in solution that will provide very detailed descriptions of such changes by using the information about structural heterogeneity contained in a parameter that is exquisitely sensitive to molecular shape called residual dipolar coupling measured in steric alignment. To show how this new method will allow the study of information transfer we will determine conformational ensembles that will report on the intra and inter-domain concerted conformational changes that activate the androgen receptor, a large allosteric multi-domain protein that regulates the male phenotype and is a therapeutic target for castration resistant prostate cancer, the condition suffered by prostate cancer patients that have become refractory to hormone therapy, the first line of treatment for this disease. To complement the structural information obtained by nuclear magnetic resonance and, especially, measure the rate of information transfer across the androgen receptor we will carry out in a collaborative fashion high precision single molecule Förster resonance energy transfer and fluorescence correlation spectroscopy experiments on AR constructs labelled with fluorescent dyes. In summary we will develop a method that will make it possible to describe some of the most fascinating biological phenomena, such as allostery and signal transduction, and will, in the long term, be an instrument for the discovery of drugs to treat castration resistant prostate cancer, a late stage of prostate cancer that is incurable and kills ca. 70.000 European men every year.
Max ERC Funding
1 950 000 €
Duration
Start date: 2015-07-01, End date: 2020-06-30
Project acronym CORTEXFOLDING
Project Understanding the development and function of cerebral cortex folding
Researcher (PI) Victor Borrell Franco
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Starting Grant (StG), LS5, ERC-2012-StG_20111109
Summary The mammalian cerebral cortex was subject to a dramatic expansion in surface area during evolution. This process is recapitulated during development and is accompanied by folding of the cortical sheet, which allows fitting a large cortical surface within a limited cranial volume. A loss of cortical folds is linked to severe intellectual impairment in humans, so cortical folding is believed to be crucial for brain function. However, developmental mechanisms responsible for cortical folding, and the influence of this on cortical function, remain largely unknown. The goal of this proposal is to understand the genetic and cellular mechanisms that control the developmental expansion and folding of the cerebral cortex, and what is the impact of these processes on its functional organization. Human studies have identified genes essential for the proper folding of the human cerebral cortex. Genetic manipulations in mice have unraveled specific functions for some of those genes in the development of the cerebral cortex. But because the mouse cerebral cortex does not fold naturally, the mechanisms of cortical expansion and folding in larger brains remain unknown. We will study these mechanisms on ferret, an ideal model with a naturally folded cerebral cortex. We will combine the advantages of ferrets with cell biology, genetics and next-generation transcriptomics, together with state-of-the-art in vivo, in vitro and in silico approaches, including in vivo imaging of functional columnar maps. The successful execution of this project will provide insights into developmental and genetic risk factors for anomalies in human cortical topology, and into mechanisms responsible for the early formation of cortical functional maps.
Summary
The mammalian cerebral cortex was subject to a dramatic expansion in surface area during evolution. This process is recapitulated during development and is accompanied by folding of the cortical sheet, which allows fitting a large cortical surface within a limited cranial volume. A loss of cortical folds is linked to severe intellectual impairment in humans, so cortical folding is believed to be crucial for brain function. However, developmental mechanisms responsible for cortical folding, and the influence of this on cortical function, remain largely unknown. The goal of this proposal is to understand the genetic and cellular mechanisms that control the developmental expansion and folding of the cerebral cortex, and what is the impact of these processes on its functional organization. Human studies have identified genes essential for the proper folding of the human cerebral cortex. Genetic manipulations in mice have unraveled specific functions for some of those genes in the development of the cerebral cortex. But because the mouse cerebral cortex does not fold naturally, the mechanisms of cortical expansion and folding in larger brains remain unknown. We will study these mechanisms on ferret, an ideal model with a naturally folded cerebral cortex. We will combine the advantages of ferrets with cell biology, genetics and next-generation transcriptomics, together with state-of-the-art in vivo, in vitro and in silico approaches, including in vivo imaging of functional columnar maps. The successful execution of this project will provide insights into developmental and genetic risk factors for anomalies in human cortical topology, and into mechanisms responsible for the early formation of cortical functional maps.
Max ERC Funding
1 701 116 €
Duration
Start date: 2013-01-01, End date: 2018-06-30
Project acronym CSI.interface
Project A molecular interface science approach: Decoding single molecular reactions and interactions at dynamic solid/liquid interfaces
Researcher (PI) Markus Valtiner
Host Institution (HI) TECHNISCHE UNIVERSITAET WIEN
Call Details Starting Grant (StG), PE4, ERC-2015-STG
Summary After decades of truly transformative advancements in single molecule (bio)physics and surface science, it is still no more than a vision to predict and control macroscopic phenomena such as adhesion or electrochemical reaction rates at solid/liquid interfaces based on well-characterized single molecular interactions. How exactly do inherently dynamic and simultaneous interactions of a countless number of interacting “crowded” molecules lead to a concerted outcome/property on a macroscopic scale?
Here, I propose a unique approach that will allow us to unravel the scaling of single molecule interactions towards macroscopic properties at adhesive and redox-active solid/liquid interfaces. Combining Atomic Force Microscopy (AFM) based single molecule force spectroscopy and macroscopic Surface Forces Apparatus (SFA) experiments CSI.interface will (1) derive rules for describing nonlinearities observed in complex, crowded (water and ions) and chemically diverse adhesive solid/liquid interfaces; (2) uniquely characterize all relevant kinetic parameters (interaction free energy and transition states) of electrochemical and adhesive reactions/interactions of single molecules at chemically defined surfaces as well as electrified single crystal facets and step edges. Complementary, (3) my team and I will build a novel molecular force apparatus in order to measure single-molecule steady-state dynamics of both redox cycles as well as binding unbinding cycles of specific interactions, and how these react to environmental triggers.
CSI.interface goes well beyond present applications of AFM and SFA and has the long-term potential to revolutionize our understanding of interfacial interaction under steady state, responsive and dynamic conditions. This work will pave the road for knowledge based designing of next-generation technologies in gluing, coating, bio-adhesion, materials design and much beyond.
Summary
After decades of truly transformative advancements in single molecule (bio)physics and surface science, it is still no more than a vision to predict and control macroscopic phenomena such as adhesion or electrochemical reaction rates at solid/liquid interfaces based on well-characterized single molecular interactions. How exactly do inherently dynamic and simultaneous interactions of a countless number of interacting “crowded” molecules lead to a concerted outcome/property on a macroscopic scale?
Here, I propose a unique approach that will allow us to unravel the scaling of single molecule interactions towards macroscopic properties at adhesive and redox-active solid/liquid interfaces. Combining Atomic Force Microscopy (AFM) based single molecule force spectroscopy and macroscopic Surface Forces Apparatus (SFA) experiments CSI.interface will (1) derive rules for describing nonlinearities observed in complex, crowded (water and ions) and chemically diverse adhesive solid/liquid interfaces; (2) uniquely characterize all relevant kinetic parameters (interaction free energy and transition states) of electrochemical and adhesive reactions/interactions of single molecules at chemically defined surfaces as well as electrified single crystal facets and step edges. Complementary, (3) my team and I will build a novel molecular force apparatus in order to measure single-molecule steady-state dynamics of both redox cycles as well as binding unbinding cycles of specific interactions, and how these react to environmental triggers.
CSI.interface goes well beyond present applications of AFM and SFA and has the long-term potential to revolutionize our understanding of interfacial interaction under steady state, responsive and dynamic conditions. This work will pave the road for knowledge based designing of next-generation technologies in gluing, coating, bio-adhesion, materials design and much beyond.
Max ERC Funding
1 499 750 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym Daphne
Project Circuits of Visual Attention
Researcher (PI) Maximilian Jösch
Host Institution (HI) INSTITUTE OF SCIENCE AND TECHNOLOGYAUSTRIA
Call Details Starting Grant (StG), LS5, ERC-2017-STG
Summary The evolutionary arms race has optimized and shaped the way animals attend to relevant sensory stimuli in an ever-changing environment. This is a complex task, because the vast majority of sensory experiences are not relevant. In humans, attentional disorders are a serious public health concern because of its high prevalence, but its causes are mostly unknown. In this proposal, I will explore the neuronal mechanisms used by the nervous system to attend visual cues to enable appropriate behaviors.
We will combine cutting edge imaging techniques, optogenetic interventions, behavioral read outs and targeted connectomics to study the neuronal transformations of the mouse Superior Colliculus (SC), an evolutionary conserved midbrain area known to process sensorimotor transformations and to be involved in the allocation of attention. First, this work will reveal a detailed description of visual representation in the SC, focusing on understanding how defined retinal information-streams, like motion and color, contribute to these properties. Second, we will characterize sensorimotor transformations instructed by the SC. The combination of the previous two objectives will determine mechanisms of visual saliency and sensory driven attention (“bottom-up” attention). Finally, we will explore the neuronal mechanisms of attention by studying the modulatory effect of higher brain areas (“top-down” attention) on sensory transformation and multisensory integration in the SC.
Taken together, this proposal aims to understand principles underlying sensorimotor transformation and build a framework to study attention in health and disease.
Summary
The evolutionary arms race has optimized and shaped the way animals attend to relevant sensory stimuli in an ever-changing environment. This is a complex task, because the vast majority of sensory experiences are not relevant. In humans, attentional disorders are a serious public health concern because of its high prevalence, but its causes are mostly unknown. In this proposal, I will explore the neuronal mechanisms used by the nervous system to attend visual cues to enable appropriate behaviors.
We will combine cutting edge imaging techniques, optogenetic interventions, behavioral read outs and targeted connectomics to study the neuronal transformations of the mouse Superior Colliculus (SC), an evolutionary conserved midbrain area known to process sensorimotor transformations and to be involved in the allocation of attention. First, this work will reveal a detailed description of visual representation in the SC, focusing on understanding how defined retinal information-streams, like motion and color, contribute to these properties. Second, we will characterize sensorimotor transformations instructed by the SC. The combination of the previous two objectives will determine mechanisms of visual saliency and sensory driven attention (“bottom-up” attention). Finally, we will explore the neuronal mechanisms of attention by studying the modulatory effect of higher brain areas (“top-down” attention) on sensory transformation and multisensory integration in the SC.
Taken together, this proposal aims to understand principles underlying sensorimotor transformation and build a framework to study attention in health and disease.
Max ERC Funding
1 446 542 €
Duration
Start date: 2017-12-01, End date: 2022-11-30
Project acronym dEMORY
Project Dissecting the Role of Dendrites in Memory
Researcher (PI) Panayiota Poirazi
Host Institution (HI) FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
Call Details Starting Grant (StG), LS5, ERC-2012-StG_20111109
Summary Understanding the rules and mechanisms underlying memory formation, storage and retrieval is a grand challenge in neuroscience. In light of cumulating evidence regarding non-linear dendritic events (dendritic-spikes, branch strength potentiation, temporal sequence detection etc) together with activity-dependent rewiring of the connection matrix, the classical notion of information storage via Hebbian-like changes in synaptic connections is inadequate. While more recent plasticity theories consider non-linear dendritic properties, a unifying theory of how dendrites are utilized to achieve memory coding, storing and/or retrieval is cruelly missing. Using computational models, we will simulate memory processes in three key brain regions: the hippocampus, the amygdala and the prefrontal cortex. Models will incorporate biologically constrained dendrites and state-of-the-art plasticity rules and will span different levels of abstraction, ranging from detailed biophysical single neurons and circuits to integrate-and-fire networks and abstract theoretical models. Our main goal is to dissect the role of dendrites in information processing and storage across the three different regions by systematically altering their anatomical, biophysical and plasticity properties. Findings will further our understanding of the fundamental computations supported by these structures and how these computations, reinforced by plasticity mechanisms, sub-serve memory formation and associated dysfunctions, thus opening new avenues for hypothesis driven experimentation and development of novel treatments for memory-related diseases. Identification of dendrites as the key processing units across brain regions and complexity levels will lay the foundations for a new era in computational and experimental neuroscience and serve as the basis for groundbreaking advances in the robotics and artificial intelligence fields while also having a large impact on the machine learning community.
Summary
Understanding the rules and mechanisms underlying memory formation, storage and retrieval is a grand challenge in neuroscience. In light of cumulating evidence regarding non-linear dendritic events (dendritic-spikes, branch strength potentiation, temporal sequence detection etc) together with activity-dependent rewiring of the connection matrix, the classical notion of information storage via Hebbian-like changes in synaptic connections is inadequate. While more recent plasticity theories consider non-linear dendritic properties, a unifying theory of how dendrites are utilized to achieve memory coding, storing and/or retrieval is cruelly missing. Using computational models, we will simulate memory processes in three key brain regions: the hippocampus, the amygdala and the prefrontal cortex. Models will incorporate biologically constrained dendrites and state-of-the-art plasticity rules and will span different levels of abstraction, ranging from detailed biophysical single neurons and circuits to integrate-and-fire networks and abstract theoretical models. Our main goal is to dissect the role of dendrites in information processing and storage across the three different regions by systematically altering their anatomical, biophysical and plasticity properties. Findings will further our understanding of the fundamental computations supported by these structures and how these computations, reinforced by plasticity mechanisms, sub-serve memory formation and associated dysfunctions, thus opening new avenues for hypothesis driven experimentation and development of novel treatments for memory-related diseases. Identification of dendrites as the key processing units across brain regions and complexity levels will lay the foundations for a new era in computational and experimental neuroscience and serve as the basis for groundbreaking advances in the robotics and artificial intelligence fields while also having a large impact on the machine learning community.
Max ERC Funding
1 398 000 €
Duration
Start date: 2012-10-01, End date: 2017-09-30