Project acronym aQUARiUM
Project QUAntum nanophotonics in Rolled-Up Metamaterials
Researcher (PI) Humeyra CAGLAYAN
Host Institution (HI) TAMPEREEN KORKEAKOULUSAATIO SR
Call Details Starting Grant (StG), PE7, ERC-2018-STG
Summary Novel sophisticated technologies that exploit the laws of quantum physics form a cornerstone for the future well-being, economic growth and security of Europe. Here photonic devices have gained a prominent position because the absorption, emission, propagation or storage of a photon is a process that can be harnessed at a fundamental level and render more practical ways to use light for such applications. However, the interaction of light with single quantum systems under ambient conditions is typically very weak and difficult to control. Furthermore, there are quantum phenomena occurring in matter at nanometer length scales that are currently not well understood. These deficiencies have a direct and severe impact on creating a bridge between quantum physics and photonic device technologies. aQUARiUM, precisely address the issue of controlling and enhancing the interaction between few photons and rolled-up nanostructures with ability to be deployed in practical applications.
With aQUARiUM, we will take epsilon (permittivity)-near-zero (ENZ) metamaterials into quantum nanophotonics. To this end, we will integrate quantum emitters with rolled-up waveguides, that act as ENZ metamaterial, to expand and redefine the range of light-matter interactions. We will explore the electromagnetic design freedom enabled by the extended modes of ENZ medium, which “stretches” the effective wavelength inside the structure. Specifically, aQUARiUM is built around the following two objectives: (i) Enhancing light-matter interactions with single emitters (Enhance) independent of emitter position. (ii) Enabling collective excitations in dense emitter ensembles (Collect) coherently connect emitters on nanophotonic devices to obtain coherent emission.
aQUARiUM aims to create novel light-sources and long-term entanglement generation and beyond. The envisioned outcome of aQUARiUM is a wholly new photonic platform applicable across a diverse range of areas.
Summary
Novel sophisticated technologies that exploit the laws of quantum physics form a cornerstone for the future well-being, economic growth and security of Europe. Here photonic devices have gained a prominent position because the absorption, emission, propagation or storage of a photon is a process that can be harnessed at a fundamental level and render more practical ways to use light for such applications. However, the interaction of light with single quantum systems under ambient conditions is typically very weak and difficult to control. Furthermore, there are quantum phenomena occurring in matter at nanometer length scales that are currently not well understood. These deficiencies have a direct and severe impact on creating a bridge between quantum physics and photonic device technologies. aQUARiUM, precisely address the issue of controlling and enhancing the interaction between few photons and rolled-up nanostructures with ability to be deployed in practical applications.
With aQUARiUM, we will take epsilon (permittivity)-near-zero (ENZ) metamaterials into quantum nanophotonics. To this end, we will integrate quantum emitters with rolled-up waveguides, that act as ENZ metamaterial, to expand and redefine the range of light-matter interactions. We will explore the electromagnetic design freedom enabled by the extended modes of ENZ medium, which “stretches” the effective wavelength inside the structure. Specifically, aQUARiUM is built around the following two objectives: (i) Enhancing light-matter interactions with single emitters (Enhance) independent of emitter position. (ii) Enabling collective excitations in dense emitter ensembles (Collect) coherently connect emitters on nanophotonic devices to obtain coherent emission.
aQUARiUM aims to create novel light-sources and long-term entanglement generation and beyond. The envisioned outcome of aQUARiUM is a wholly new photonic platform applicable across a diverse range of areas.
Max ERC Funding
1 499 431 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
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 CGCglasmaQGP
Project The nonlinear high energy regime of Quantum Chromodynamics
Researcher (PI) Tuomas Veli Valtteri Lappi
Host Institution (HI) JYVASKYLAN YLIOPISTO
Call Details Consolidator Grant (CoG), PE2, ERC-2015-CoG
Summary "This proposal concentrates on Quantum Chromodynamics (QCD) in its least well understood "final frontier": the high energy limit. The aim is to treat the formation of quark gluon plasma in relativistic nuclear collisions together with other high energy processes in a consistent QCD framework. This project is topical now in order to fully understand the results from the maturing LHC heavy ion program. The high energy regime is characterized by a high density of gluons, whose nonlinear interactions are beyond the reach of simple perturbative calculations. High energy particles also propagate nearly on the light cone, unaccessible to Euclidean lattice calculations. The nonlinear interactions at high density lead to the phenomenon of gluon saturation. The emergence of the "saturation scale", a semihard typical transverse momentum, enables a weak coupling expansion around a nonperturbatively large color field. This project aims to make progress both in collider phenomenology and in more conceptual aspects of nonabelian gauge field dynamics at high energy density:
1. Significant advances towards higher order accuracy will be made in cross section calculations for processes where a dilute probe collides with the strong color field of a high energy nucleus.
2. The quantum fluctuations around the strong color fields in the initial stages of a relativistic heavy ion collision will be analyzed with a new numerical method based on an explicit linearization of the equations of motion, maintaining a well defined weak coupling limit.
3. Initial conditions for fluid dynamical descriptions of the quark gluon plasma phase in heavy ion collisions will be obtained from a constrained QCD calculation.
We propose to achieve these goals with modern analytical and numerical methods, on which the P.I. is a leading expert. This project would represent a leap in the field towards better quantitative first principles understanding of QCD in a new kinematical domain."
Summary
"This proposal concentrates on Quantum Chromodynamics (QCD) in its least well understood "final frontier": the high energy limit. The aim is to treat the formation of quark gluon plasma in relativistic nuclear collisions together with other high energy processes in a consistent QCD framework. This project is topical now in order to fully understand the results from the maturing LHC heavy ion program. The high energy regime is characterized by a high density of gluons, whose nonlinear interactions are beyond the reach of simple perturbative calculations. High energy particles also propagate nearly on the light cone, unaccessible to Euclidean lattice calculations. The nonlinear interactions at high density lead to the phenomenon of gluon saturation. The emergence of the "saturation scale", a semihard typical transverse momentum, enables a weak coupling expansion around a nonperturbatively large color field. This project aims to make progress both in collider phenomenology and in more conceptual aspects of nonabelian gauge field dynamics at high energy density:
1. Significant advances towards higher order accuracy will be made in cross section calculations for processes where a dilute probe collides with the strong color field of a high energy nucleus.
2. The quantum fluctuations around the strong color fields in the initial stages of a relativistic heavy ion collision will be analyzed with a new numerical method based on an explicit linearization of the equations of motion, maintaining a well defined weak coupling limit.
3. Initial conditions for fluid dynamical descriptions of the quark gluon plasma phase in heavy ion collisions will be obtained from a constrained QCD calculation.
We propose to achieve these goals with modern analytical and numerical methods, on which the P.I. is a leading expert. This project would represent a leap in the field towards better quantitative first principles understanding of QCD in a new kinematical domain."
Max ERC Funding
1 935 000 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym CODE
Project Condensation in designed systems
Researcher (PI) Päivi Elina Törmä
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), PE2, ERC-2013-ADG
Summary "Quantum coherent phenomena, especially marcoscopic quantum coherence, are among the most striking predictions of quantum mechanics. They have lead to remarkable applications such as lasers and modern optical technologies, and in the future, breakthroughs such as quantum information processing are envisioned. Macroscopic quantum coherence is manifested in Bose-Einstein condensation (BEC), superfluidity, and superconductivity, which have been observed in a variety of systems and continue to be at the front line of scientific research. Here my objective is to extend the realm of Bose-Einstein condensation into new conceptual and practical directions. I focus on the role of a hybrid character of the object that condenses and on the role of non-equilibrium in the BEC phenomenon. The work is mostly theoretical but has also an experimental part. I study two new types of hybrids, fundamentally different from each other. First, I consider pairing and superfluidity in a mixed geometry. Experimental realization of mixed geometries is becoming feasible in ultracold gases. Second, I explore the possibility of finding novel hybrids of light and matter excitations that may display condensation. By combining insight from these two cases, my goal is to understand how the hybrid and non-equilibrium nature can be exploited to design desirable properties, such as high critical temperatures. In particular, in case of the new light-matter hybrids, the goal is to provide realistic scenarios for, and also experimentally demonstrate, a room temperature BEC."
Summary
"Quantum coherent phenomena, especially marcoscopic quantum coherence, are among the most striking predictions of quantum mechanics. They have lead to remarkable applications such as lasers and modern optical technologies, and in the future, breakthroughs such as quantum information processing are envisioned. Macroscopic quantum coherence is manifested in Bose-Einstein condensation (BEC), superfluidity, and superconductivity, which have been observed in a variety of systems and continue to be at the front line of scientific research. Here my objective is to extend the realm of Bose-Einstein condensation into new conceptual and practical directions. I focus on the role of a hybrid character of the object that condenses and on the role of non-equilibrium in the BEC phenomenon. The work is mostly theoretical but has also an experimental part. I study two new types of hybrids, fundamentally different from each other. First, I consider pairing and superfluidity in a mixed geometry. Experimental realization of mixed geometries is becoming feasible in ultracold gases. Second, I explore the possibility of finding novel hybrids of light and matter excitations that may display condensation. By combining insight from these two cases, my goal is to understand how the hybrid and non-equilibrium nature can be exploited to design desirable properties, such as high critical temperatures. In particular, in case of the new light-matter hybrids, the goal is to provide realistic scenarios for, and also experimentally demonstrate, a room temperature BEC."
Max ERC Funding
1 559 608 €
Duration
Start date: 2013-12-01, End date: 2018-11-30
Project acronym COMPLEX-FISH
Project Complex eco-evolutionary dynamics of aquatic ecosystems faced with human-induced and environmental stress
Researcher (PI) Anna KUPARINEN
Host Institution (HI) JYVASKYLAN YLIOPISTO
Call Details Consolidator Grant (CoG), LS8, ERC-2017-COG
Summary Resilience and recovery ability are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. The integrated perspective offered by eco-evolutionary dynamics is vital for understanding drivers of resilience and recovery of natural populations undergoing rapid changes and exposed to multiple stressors. However, the feedback mechanisms, and the ways in which evolution and phenotypic changes scale up to interacting species, communities, and ecosystems, remains poorly understood. The objective of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into two interfaces of complex biological dynamics. I will do this in the context of conservation and sustainable harvesting of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse the eco-evolutionary dynamics of aquatic ecosystems to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies and detailed analyses of three aquatic ecosystems. The project delves into the mechanisms through which anthropogenic and environmental drivers alter the eco-evolutionary dynamics of aquatic ecosystems. Mechanistic understanding of these dynamics, and their consequences to species and ecosystems, has great potential to resolve fundamental yet puzzling patterns observed in natural populations and to identify species and ecosystem properties regulating resilience and recovery ability. This will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences on aquatic ecosystems.
Summary
Resilience and recovery ability are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. The integrated perspective offered by eco-evolutionary dynamics is vital for understanding drivers of resilience and recovery of natural populations undergoing rapid changes and exposed to multiple stressors. However, the feedback mechanisms, and the ways in which evolution and phenotypic changes scale up to interacting species, communities, and ecosystems, remains poorly understood. The objective of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into two interfaces of complex biological dynamics. I will do this in the context of conservation and sustainable harvesting of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse the eco-evolutionary dynamics of aquatic ecosystems to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies and detailed analyses of three aquatic ecosystems. The project delves into the mechanisms through which anthropogenic and environmental drivers alter the eco-evolutionary dynamics of aquatic ecosystems. Mechanistic understanding of these dynamics, and their consequences to species and ecosystems, has great potential to resolve fundamental yet puzzling patterns observed in natural populations and to identify species and ecosystem properties regulating resilience and recovery ability. This will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences on aquatic ecosystems.
Max ERC Funding
1 999 391 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym DenseMatter
Project High-density QCD matter from first principles
Researcher (PI) Aleksi VUORINEN
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Consolidator Grant (CoG), PE2, ERC-2016-COG
Summary Predicting the collective properties of strongly interacting matter at the highest densities reached within the present-day Universe is one of the most prominent challenges in modern nuclear theory. It is motivated by the desire to map out the complicated phase diagram of the theory, and perhaps even more importantly by the mystery surrounding the inner structure of neutron stars. The task is, however, severely complicated by the notorious Sign Problem of lattice QCD, due to which no nonperturbative first principles methods are available for tackling it.
The proposal at hand approaches the strong interaction challenge using a first principles toolbox containing most importantly the machinery of modern resummed perturbation theory and effective field theory. Our main technical goal is to determine three new orders in the weak coupling expansion of the Equation of State (EoS) of unpaired zero-temperature quark matter. Alongside this effort, we will investigate the derivation of a new type of effective description for cold and dense QCD, allowing us to include to the EoS contributions from quark pairing more accurately than what is possible at present.
The highlight result of our work will be the derivation of the most accurate neutron star matter EoS to date, which will be obtained by combining insights from our work with those originating from the Chiral Effective Theory of nuclear interactions. We anticipate being able to reduce the current uncertainty in the EoS by nearly a factor of two, which will convert into a precise prediction for the Mass-Radius relation of the stars. This will be a milestone result in nuclear astrophysics, and in combination with emerging observational data on stellar masses and radii will contribute to solving one of the most intriguing puzzles in the field – the nature of the most compact stars in the Universe.
Summary
Predicting the collective properties of strongly interacting matter at the highest densities reached within the present-day Universe is one of the most prominent challenges in modern nuclear theory. It is motivated by the desire to map out the complicated phase diagram of the theory, and perhaps even more importantly by the mystery surrounding the inner structure of neutron stars. The task is, however, severely complicated by the notorious Sign Problem of lattice QCD, due to which no nonperturbative first principles methods are available for tackling it.
The proposal at hand approaches the strong interaction challenge using a first principles toolbox containing most importantly the machinery of modern resummed perturbation theory and effective field theory. Our main technical goal is to determine three new orders in the weak coupling expansion of the Equation of State (EoS) of unpaired zero-temperature quark matter. Alongside this effort, we will investigate the derivation of a new type of effective description for cold and dense QCD, allowing us to include to the EoS contributions from quark pairing more accurately than what is possible at present.
The highlight result of our work will be the derivation of the most accurate neutron star matter EoS to date, which will be obtained by combining insights from our work with those originating from the Chiral Effective Theory of nuclear interactions. We anticipate being able to reduce the current uncertainty in the EoS by nearly a factor of two, which will convert into a precise prediction for the Mass-Radius relation of the stars. This will be a milestone result in nuclear astrophysics, and in combination with emerging observational data on stellar masses and radii will contribute to solving one of the most intriguing puzzles in the field – the nature of the most compact stars in the Universe.
Max ERC Funding
1 342 133 €
Duration
Start date: 2017-07-01, End date: 2022-06-30
Project acronym DRIVEN
Project Field driven materials for functions, dissipation, and mimicking Pavlovian adaptation
Researcher (PI) Olli Ikkala
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), PE5, ERC-2016-ADG
Summary During the recent years, biological materials have extensively inspired materials scientists towards new properties, e.g., for composites, photonics, and wetting. The future grand challenge is to mimic biological active materials towards new properties that commonly have not been connected with man-made materials. Due to the biological complexity, conceptually new approaches are needed in materials science. In the project DRIVEN, field-driven dissipative out-of-equilibrium self-assemblies are developed in the colloidal and molecular scale. In the proposal, instead of using chemical fuels to drive dissipative self-assemblies, which is ubiquitous in Nature, imposed fields are here used to drive the system out-of-equilibrium towards new assemblies and functions. The project show steps with growing risks towards highly ambitious new materials mimicking aspects from active biological materials.
Summary
During the recent years, biological materials have extensively inspired materials scientists towards new properties, e.g., for composites, photonics, and wetting. The future grand challenge is to mimic biological active materials towards new properties that commonly have not been connected with man-made materials. Due to the biological complexity, conceptually new approaches are needed in materials science. In the project DRIVEN, field-driven dissipative out-of-equilibrium self-assemblies are developed in the colloidal and molecular scale. In the proposal, instead of using chemical fuels to drive dissipative self-assemblies, which is ubiquitous in Nature, imposed fields are here used to drive the system out-of-equilibrium towards new assemblies and functions. The project show steps with growing risks towards highly ambitious new materials mimicking aspects from active biological materials.
Max ERC Funding
2 499 999 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym Elephant Project
Project How elephants grow old
Researcher (PI) Virpi Annikki Lummaa
Host Institution (HI) TURUN YLIOPISTO
Call Details Consolidator Grant (CoG), LS8, ERC-2014-CoG
Summary The ageing population structure of most European countries has major health, economic and social consequences that lead to a need to better understand both the evolutionary limitations of deferring ageing, as well as the mechanisms involved in growing old. Ageing involves reduced fertility, mobility and ability to combat disease, but some individuals cope with growing old better than others. Improving the quality of life at old age and predicting future changes in longevity patterns of societies might depend on our ability to develop indicators of how old we really are and how many healthy years we have ahead, and how those indicators depend on our health history across several decades. Yet, most model species used in biology are short-lived and provide a poor comparison to long-lived mammals such as humans. Further, they do not often inform on the mechanisms of ageing alongside its fitness consequences in natural populations of long-lived mammals. This project integrates different ageing mechanisms with unique data on lifelong disease and reproductive history in the most long-lived non-human mammal studied so far, the Asian elephant. I will examine how different mechanisms of ageing (telomere dynamics, oxidative stress and telomerase activity) interact with lifelong disease and reproductive history, and current endocrinological measures of stress and reproductive status. This will help us to better understand both the mechanisms of ageing and their consequences on senescence rates. To do so, I will combine the most comprehensive demographic data (N~10.000) on Asian elephants in the world with bi-monthly health assessments and disease records across life (N~2500) and with longitudinal markers of ageing and hormonal correlates of stress and reproductive potential (N~240). Understanding changes in health across life and its links to ageing rates, stress levels and life-history in a species as long-lived as humans will be relevant to a large range of end-users.
Summary
The ageing population structure of most European countries has major health, economic and social consequences that lead to a need to better understand both the evolutionary limitations of deferring ageing, as well as the mechanisms involved in growing old. Ageing involves reduced fertility, mobility and ability to combat disease, but some individuals cope with growing old better than others. Improving the quality of life at old age and predicting future changes in longevity patterns of societies might depend on our ability to develop indicators of how old we really are and how many healthy years we have ahead, and how those indicators depend on our health history across several decades. Yet, most model species used in biology are short-lived and provide a poor comparison to long-lived mammals such as humans. Further, they do not often inform on the mechanisms of ageing alongside its fitness consequences in natural populations of long-lived mammals. This project integrates different ageing mechanisms with unique data on lifelong disease and reproductive history in the most long-lived non-human mammal studied so far, the Asian elephant. I will examine how different mechanisms of ageing (telomere dynamics, oxidative stress and telomerase activity) interact with lifelong disease and reproductive history, and current endocrinological measures of stress and reproductive status. This will help us to better understand both the mechanisms of ageing and their consequences on senescence rates. To do so, I will combine the most comprehensive demographic data (N~10.000) on Asian elephants in the world with bi-monthly health assessments and disease records across life (N~2500) and with longitudinal markers of ageing and hormonal correlates of stress and reproductive potential (N~240). Understanding changes in health across life and its links to ageing rates, stress levels and life-history in a species as long-lived as humans will be relevant to a large range of end-users.
Max ERC Funding
1 949 316 €
Duration
Start date: 2016-01-01, End date: 2020-12-31
Project acronym GEDA
Project Global Environmental Decision Analysis
Researcher (PI) Atte Jaakko Moilanen
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Starting Grant (StG), LS8, ERC-2010-StG_20091118
Summary Habitat degradation and climate change are generally considered the greatest threats to biodiversity globally. Together, these processes pose an urgent challenge to conservation science, requiring ever increasing efficiency in ecologically-based decision making, to slow down, and hopefully eventually reverse, the ongoing global loss of biodiversity. In responding to this challenge, I am proposing a project in which the over-arching goal is to provide improved conservation-oriented analytical methods and tools to underpin knowledge-based land-use planning and associated political decision making. The proposed work builds on a broad established history of research in the field of spatial ecology and conservation prioritization.
Specific components of the proposal include: (i) developing the general conceptual, ecological, methodological and statistical basis of environmental and conservation resource allocation: (ii) combining species and community-level prioritization approaches for data-poor areas of the world; (iii) developing methods for alleviating the negative ecological consequences of climate change, based on connectivity both in geographic and environmental space; (iv) developing an uncertainty-analytic method for the planning of habitat restoration and calculation of compensation ratios for habitat that will be impacted due to economic activity, (v) developing methods for allocating alternative conservation actions (protection, maintenance, restoration) in combination with habitat-specific loss rates in spatial conservation prioritization, and (vi) implementing the proposed methods as publicly available, efficient and well-documented software packages. Particular emphasis will be placed on solving the algorithmic challenges involved in analyzing the large data sets that are becoming increasingly available as the distributions of environmental conditions and biodiversity features are derived from large-scale high-resolution remote-sensing data.
Summary
Habitat degradation and climate change are generally considered the greatest threats to biodiversity globally. Together, these processes pose an urgent challenge to conservation science, requiring ever increasing efficiency in ecologically-based decision making, to slow down, and hopefully eventually reverse, the ongoing global loss of biodiversity. In responding to this challenge, I am proposing a project in which the over-arching goal is to provide improved conservation-oriented analytical methods and tools to underpin knowledge-based land-use planning and associated political decision making. The proposed work builds on a broad established history of research in the field of spatial ecology and conservation prioritization.
Specific components of the proposal include: (i) developing the general conceptual, ecological, methodological and statistical basis of environmental and conservation resource allocation: (ii) combining species and community-level prioritization approaches for data-poor areas of the world; (iii) developing methods for alleviating the negative ecological consequences of climate change, based on connectivity both in geographic and environmental space; (iv) developing an uncertainty-analytic method for the planning of habitat restoration and calculation of compensation ratios for habitat that will be impacted due to economic activity, (v) developing methods for allocating alternative conservation actions (protection, maintenance, restoration) in combination with habitat-specific loss rates in spatial conservation prioritization, and (vi) implementing the proposed methods as publicly available, efficient and well-documented software packages. Particular emphasis will be placed on solving the algorithmic challenges involved in analyzing the large data sets that are becoming increasingly available as the distributions of environmental conditions and biodiversity features are derived from large-scale high-resolution remote-sensing data.
Max ERC Funding
1 495 213 €
Duration
Start date: 2011-01-01, End date: 2015-12-31
Project acronym IPLASTICITY
Project Induction of juvenile-like plasticity in the adult brain
Researcher (PI) Eero Castrén
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Advanced Grant (AdG), LS5, ERC-2012-ADG_20120314
Summary Neuronal networks are tuned to optimally represent external and internal milieu through neuronal plasticity during critical periods of juvenile life. After the closure of the critical periods, plasticity is considered to be much more limited. In a series of landmark studies, we have shown that critical period-like plasticity can be reactivated in the adult mammalian brain by pharmacological treatment with the antidepressant fluoxetine. These ground-breaking studies establish a new principle, induced juvenile-like plasticity (iPlasticity) and define a new class of drugs, iPlastic drugs. For optimal results, iPlastic drug must be combined with physical or psychological rehabilitation, which guide the plastic networks and together allow better adaptation towards changing environment. iPlasticity may facilitate functional recovery after brain injury and underlie the enhanced efficacy of combined antidepressant treatment and psychotherapy.
We have uncovered iPlasticity as an exciting new concept and established experimental models to study the molecular, cellular and network level mechanisms underlying it. We will here focus on the role of neurotrophin BDNF, because our previous and unpublished work clearly shows that BDNF and its receptors TrkB and p75 are essential and sufficient for iPlasticity. We have found that a major developmental reorganization in TrkB signalling takes place coinciding with the end of critical periods, and its reversal may underlie iPlasticity. We will utilize our resources as a leading lab in BDNF effects in adult brain and through novel controlled transgenic models, genomics and proteomics, we will reveal the role of BDNF signalling through TrkB and p75 in brain maturation, iPlasticity and brain disorders. Understanding the neurobiological background of iPlasticity will be vital for iPlastic drug development and the numerous translational applications of iPlasticity clearly in sight.
Summary
Neuronal networks are tuned to optimally represent external and internal milieu through neuronal plasticity during critical periods of juvenile life. After the closure of the critical periods, plasticity is considered to be much more limited. In a series of landmark studies, we have shown that critical period-like plasticity can be reactivated in the adult mammalian brain by pharmacological treatment with the antidepressant fluoxetine. These ground-breaking studies establish a new principle, induced juvenile-like plasticity (iPlasticity) and define a new class of drugs, iPlastic drugs. For optimal results, iPlastic drug must be combined with physical or psychological rehabilitation, which guide the plastic networks and together allow better adaptation towards changing environment. iPlasticity may facilitate functional recovery after brain injury and underlie the enhanced efficacy of combined antidepressant treatment and psychotherapy.
We have uncovered iPlasticity as an exciting new concept and established experimental models to study the molecular, cellular and network level mechanisms underlying it. We will here focus on the role of neurotrophin BDNF, because our previous and unpublished work clearly shows that BDNF and its receptors TrkB and p75 are essential and sufficient for iPlasticity. We have found that a major developmental reorganization in TrkB signalling takes place coinciding with the end of critical periods, and its reversal may underlie iPlasticity. We will utilize our resources as a leading lab in BDNF effects in adult brain and through novel controlled transgenic models, genomics and proteomics, we will reveal the role of BDNF signalling through TrkB and p75 in brain maturation, iPlasticity and brain disorders. Understanding the neurobiological background of iPlasticity will be vital for iPlastic drug development and the numerous translational applications of iPlasticity clearly in sight.
Max ERC Funding
2 500 000 €
Duration
Start date: 2013-04-01, End date: 2018-03-31
