Project acronym BIOCON
Project Biological origins of linguistic constraints
Researcher (PI) Juan Manuel Toro
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Country Spain
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary The linguistic capacity to express and comprehend an unlimited number of ideas when combining a limited number of elements has only been observed in humans. Nevertheless, research has not fully identified the components of language that make it uniquely human and that allow infants to grasp the complexity of linguistic structure in an apparently effortless manner. Research on comparative cognition suggests humans and other species share powerful learning mechanisms and basic perceptual abilities we use for language processing. But humans display remarkable linguistic abilities that other animals do not possess. Understanding the interplay between general mechanisms shared across species and more specialized ones dedicated to the speech signal is at the heart of current debates in human language acquisition. This is a highly relevant issue for researchers in the fields of Psychology, Linguistics, Biology, Philosophy and Cognitive Neuroscience. By conducting experiments across several populations (human adults and infants) and species (human and nonhuman animals), and using a wide array of experimental techniques, the present proposal hopes to shed some light on the origins of shared biological constraints that guide more specialized mechanisms in the search for linguistic structure. More specifically, we hope to understand how general perceptual and cognitive mechanisms likely present in other animals constrain the way humans tackle the task of language acquisition. Our hypothesis is that differences between humans and other species are not the result of humans being able to process increasingly complex structures that are the hallmark of language. Rather, differences might be due to humans and other animals focusing on different cues present in the signal to extract relevant information. This research will hint at what is uniquely human and what is shared across different animals species.
Summary
The linguistic capacity to express and comprehend an unlimited number of ideas when combining a limited number of elements has only been observed in humans. Nevertheless, research has not fully identified the components of language that make it uniquely human and that allow infants to grasp the complexity of linguistic structure in an apparently effortless manner. Research on comparative cognition suggests humans and other species share powerful learning mechanisms and basic perceptual abilities we use for language processing. But humans display remarkable linguistic abilities that other animals do not possess. Understanding the interplay between general mechanisms shared across species and more specialized ones dedicated to the speech signal is at the heart of current debates in human language acquisition. This is a highly relevant issue for researchers in the fields of Psychology, Linguistics, Biology, Philosophy and Cognitive Neuroscience. By conducting experiments across several populations (human adults and infants) and species (human and nonhuman animals), and using a wide array of experimental techniques, the present proposal hopes to shed some light on the origins of shared biological constraints that guide more specialized mechanisms in the search for linguistic structure. More specifically, we hope to understand how general perceptual and cognitive mechanisms likely present in other animals constrain the way humans tackle the task of language acquisition. Our hypothesis is that differences between humans and other species are not the result of humans being able to process increasingly complex structures that are the hallmark of language. Rather, differences might be due to humans and other animals focusing on different cues present in the signal to extract relevant information. This research will hint at what is uniquely human and what is shared across different animals species.
Max ERC Funding
1 305 973 €
Duration
Start date: 2013-01-01, End date: 2018-12-31
Project acronym BLOODCELLSCROSSTALK
Project The Crosstalk Between Red And White Blood Cells: The Case Of Fish
Researcher (PI) Maria del Mar Ortega-Villaizan Romo
Host Institution (HI) UNIVERSIDAD MIGUEL HERNANDEZ DE ELCHE
Country Spain
Call Details Starting Grant (StG), LS9, ERC-2014-STG
Summary Fish are the phylogenetically oldest vertebrate group with an immune system with clear similarities to the immune system of mammals. However, it is an actual matter of fact that the current knowledge of the fish immune system seems to lack the key piece to complete the puzzle.
In 1953 Nelson described a new role of human red blood cells (RBCs) which would go beyond the simple transport of O2 to the tissues. This new role, involved in the defence against microbes, described the antibody and complement-dependent binding of microbial immune complexes to RBCs. Regardless of the importance of this finding in the field of microbial infection, this phenomenon has been poorly evaluated. Just recently, a set of biological processes relevant to immunity have been described in the RBCs of a diverse group of organisms, which include: pathogen recognition, pathogen binding and clearance and cytokines production. Furthermore, it has been demonstrated that nucleated erythrocytes from fish and avian species develop specific responses to different pathogen associated molecular patterns and produce soluble factors that modulate leukocyte activity.
In the light of these pieces of evidences, and in an attempt to improve the knowledge of the immune mechanism(s) responsible for fish protection against viral infections, we raised the question: could nucleated fish erythrocytes be the key mediators of the antiviral responses? To answer this question we decided to focus our project on the evaluation of the crosstalk between red and white blood cells in the scenario of fish viral infections and prophylaxis. For that a working model composed of the rainbow trout and the viral haemorrhagic septicaemia virus (VHSV) was chosen, being the objectives of the project to evaluate: i) the implication trout RBCs (tRBCs) in the clearance of VHSV, and ii) the involvement of tRBCs in the blood transportation of the glycoprotein G of VHSV (GVHSV), the antigen encoded by the DNA vaccine.
Summary
Fish are the phylogenetically oldest vertebrate group with an immune system with clear similarities to the immune system of mammals. However, it is an actual matter of fact that the current knowledge of the fish immune system seems to lack the key piece to complete the puzzle.
In 1953 Nelson described a new role of human red blood cells (RBCs) which would go beyond the simple transport of O2 to the tissues. This new role, involved in the defence against microbes, described the antibody and complement-dependent binding of microbial immune complexes to RBCs. Regardless of the importance of this finding in the field of microbial infection, this phenomenon has been poorly evaluated. Just recently, a set of biological processes relevant to immunity have been described in the RBCs of a diverse group of organisms, which include: pathogen recognition, pathogen binding and clearance and cytokines production. Furthermore, it has been demonstrated that nucleated erythrocytes from fish and avian species develop specific responses to different pathogen associated molecular patterns and produce soluble factors that modulate leukocyte activity.
In the light of these pieces of evidences, and in an attempt to improve the knowledge of the immune mechanism(s) responsible for fish protection against viral infections, we raised the question: could nucleated fish erythrocytes be the key mediators of the antiviral responses? To answer this question we decided to focus our project on the evaluation of the crosstalk between red and white blood cells in the scenario of fish viral infections and prophylaxis. For that a working model composed of the rainbow trout and the viral haemorrhagic septicaemia virus (VHSV) was chosen, being the objectives of the project to evaluate: i) the implication trout RBCs (tRBCs) in the clearance of VHSV, and ii) the involvement of tRBCs in the blood transportation of the glycoprotein G of VHSV (GVHSV), the antigen encoded by the DNA vaccine.
Max ERC Funding
1 823 250 €
Duration
Start date: 2015-04-01, End date: 2020-10-31
Project acronym CERCODE
Project Cerebellar control of Cortical Development
Researcher (PI) Juan Antonio Moreno Bravo
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Country Spain
Call Details Starting Grant (StG), LS5, ERC-2020-STG
Summary The cerebellum plays a critical role in motor function, but also in cognitive, and social behavioral development. It is proposed that the influence of the cerebellum in high-order processing is via modulatory effects on the cerebral cortex. Importantly, mounting evidences from clinical studies indicate that early cerebellar damage lead to wide range of changes in the structure and function of the developing cerebral cortex. This pathophysiological phenomenon is referred as “developmental diaschisis” and it suggests that the development of cerebral cortical areas is optimized by the guidance of cerebellar input. Thus, abnormalities in the developmental influence between these two brain regions might underlie the emergence of several neurodevelopmental disorders, such as autism spectrum disorders. Yet, the mechanisms by which the cerebellum is influencing the development and maturation of distant cortical circuits remain unknown.
Here, we will adopt a multidisciplinary and innovative approach to define the mechanisms by which the cerebellum influences the development of cortical areas. We hypothesize that these mechanisms are orchestrated by the thalamus, a key intermediate region connecting the cerebellum and the cortex. Therefore, a cerebellar malfunctioning might lead to alterations of cortical areas via thalamic reorganizations. Manipulating cerebellar early normal development and function offers us the possibility to shed light onto this issue. Thus, we will embryonically disturb the cerebello-thalamo-cortical output by anatomical, genetic and functional methods to determine the alterations in the development, organization, function and plasticity of the thalamocortical and cortical networks. The successful execution of this high-risk, high-impact research will provide insights on how the atypical cerebellar structure or function is involved in neurodevelopmental disorders.
Summary
The cerebellum plays a critical role in motor function, but also in cognitive, and social behavioral development. It is proposed that the influence of the cerebellum in high-order processing is via modulatory effects on the cerebral cortex. Importantly, mounting evidences from clinical studies indicate that early cerebellar damage lead to wide range of changes in the structure and function of the developing cerebral cortex. This pathophysiological phenomenon is referred as “developmental diaschisis” and it suggests that the development of cerebral cortical areas is optimized by the guidance of cerebellar input. Thus, abnormalities in the developmental influence between these two brain regions might underlie the emergence of several neurodevelopmental disorders, such as autism spectrum disorders. Yet, the mechanisms by which the cerebellum is influencing the development and maturation of distant cortical circuits remain unknown.
Here, we will adopt a multidisciplinary and innovative approach to define the mechanisms by which the cerebellum influences the development of cortical areas. We hypothesize that these mechanisms are orchestrated by the thalamus, a key intermediate region connecting the cerebellum and the cortex. Therefore, a cerebellar malfunctioning might lead to alterations of cortical areas via thalamic reorganizations. Manipulating cerebellar early normal development and function offers us the possibility to shed light onto this issue. Thus, we will embryonically disturb the cerebello-thalamo-cortical output by anatomical, genetic and functional methods to determine the alterations in the development, organization, function and plasticity of the thalamocortical and cortical networks. The successful execution of this high-risk, high-impact research will provide insights on how the atypical cerebellar structure or function is involved in neurodevelopmental disorders.
Max ERC Funding
1 499 709 €
Duration
Start date: 2021-01-01, End date: 2025-12-31
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
Country Spain
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 EDST
Project Economic Development and Structural Transformation
Researcher (PI) Maria Paula BUSTOS
Host Institution (HI) FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS
Country Spain
Call Details Starting Grant (StG), SH1, ERC-2016-STG
Summary The early development literature documented that the growth path of most advanced economies was accompanied by a process of structural transformation. As economies develop, the share of agriculture in employment falls and workers migrate to cities to find employment in the industrial and service sectors [Clark (1940), Kuznets (1957)]. In the first industrialized countries, technical improvements in agriculture favoured the development of industry and services by releasing labour, increasing demand and raising profits to finance other activities. However, several scholars noted that the positive effects of agricultural productivity on economic development are no longer operative in open economies. In addition, there is a large theoretical literature highlighting how market failures can retard structural transformation in developing countries. In particular, financial frictions might constrain the reallocation of capital and thus retard the process of labour reallocation. In this project, we propose to contribute to our understanding of structural transformation by providing direct empirical evidence on the effects of exogenous shocks to local agricultural and manufacturing productivity on the reallocation of capital and labour across sectors, firms and space in Brazil. For this purpose, we construct the first data set that permits to jointly observe labour and credit flows across sectors and space. To exploit the spatial dimension of the capital allocation problem, we design a new empirical which exploits the geographical structure of bank branch networks. Similarly, we propose to study the spatial dimension of the labour allocation problem by exploiting differences in migration costs across regions due to transportation and social networks.
Summary
The early development literature documented that the growth path of most advanced economies was accompanied by a process of structural transformation. As economies develop, the share of agriculture in employment falls and workers migrate to cities to find employment in the industrial and service sectors [Clark (1940), Kuznets (1957)]. In the first industrialized countries, technical improvements in agriculture favoured the development of industry and services by releasing labour, increasing demand and raising profits to finance other activities. However, several scholars noted that the positive effects of agricultural productivity on economic development are no longer operative in open economies. In addition, there is a large theoretical literature highlighting how market failures can retard structural transformation in developing countries. In particular, financial frictions might constrain the reallocation of capital and thus retard the process of labour reallocation. In this project, we propose to contribute to our understanding of structural transformation by providing direct empirical evidence on the effects of exogenous shocks to local agricultural and manufacturing productivity on the reallocation of capital and labour across sectors, firms and space in Brazil. For this purpose, we construct the first data set that permits to jointly observe labour and credit flows across sectors and space. To exploit the spatial dimension of the capital allocation problem, we design a new empirical which exploits the geographical structure of bank branch networks. Similarly, we propose to study the spatial dimension of the labour allocation problem by exploiting differences in migration costs across regions due to transportation and social networks.
Max ERC Funding
1 486 500 €
Duration
Start date: 2017-03-01, End date: 2022-02-28
Project acronym ELONGAN
Project Gene editing and in vitro approaches to understand conceptus elongation in ungulates
Researcher (PI) Pablo BERMEJO-aLVAREZ
Host Institution (HI) INSTITUTO NACIONAL DE INVESTIGACION Y TECNOLOGIA AGRARIA Y ALIMENTARIA OA MP
Country Spain
Call Details Starting Grant (StG), LS9, ERC-2017-STG
Summary In contrast to human or rodent embryos, ungulate embryos do not implant into the uterus right after blastocyst hatching. Before implantation, the hatched ungulate blastocyst must undergo dramatic morphological changes characterized by cell differentiation, proliferation and migration processes leading to the development of extra-embryonic membranes, the appearance of a flat embryonic disc and gastrulation. This prolonged preimplantation development is termed conceptus elongation and deficiencies on this process constitute the most frequent cause of reproductive failures in ungulates, including the 4 most relevant mammalian livestock species in Europe. The purpose of this project is to elucidate the factors involved in conceptus elongation by gene editing and in vitro culture approaches. A first objective will be to identify key genes involved in differentiation processes by RNA-seq analysis of different embryo derivatives from bovine conceptuses at different developmental stages. Subsequently, the function of some of the genes identified as well as others known to play a crucial role in mouse development or putatively involved in embryo-maternal interactions will be assessed. For this aim, bovine embryos in which a candidate gene has been ablated (KO) will be generated by CRISPR and transferred to recipient females to assess in vivo the function of such particular gene on conceptus development. A second set of experiments pursue the development of an in vitro system for conceptus elongation that would bypass the requirement for in vivo experiments. For this aim we will perform metabolomics and proteomics analyses of bovine uterine fluid at different stages and will use these data to rationally develop a culture system able to sustain conceptus development. The knowledge generated by this project will serve to develop strategies to enhance farming profitability by reducing embryonic loss and to understand Developmental Biology questions unanswered by the mouse model.
Summary
In contrast to human or rodent embryos, ungulate embryos do not implant into the uterus right after blastocyst hatching. Before implantation, the hatched ungulate blastocyst must undergo dramatic morphological changes characterized by cell differentiation, proliferation and migration processes leading to the development of extra-embryonic membranes, the appearance of a flat embryonic disc and gastrulation. This prolonged preimplantation development is termed conceptus elongation and deficiencies on this process constitute the most frequent cause of reproductive failures in ungulates, including the 4 most relevant mammalian livestock species in Europe. The purpose of this project is to elucidate the factors involved in conceptus elongation by gene editing and in vitro culture approaches. A first objective will be to identify key genes involved in differentiation processes by RNA-seq analysis of different embryo derivatives from bovine conceptuses at different developmental stages. Subsequently, the function of some of the genes identified as well as others known to play a crucial role in mouse development or putatively involved in embryo-maternal interactions will be assessed. For this aim, bovine embryos in which a candidate gene has been ablated (KO) will be generated by CRISPR and transferred to recipient females to assess in vivo the function of such particular gene on conceptus development. A second set of experiments pursue the development of an in vitro system for conceptus elongation that would bypass the requirement for in vivo experiments. For this aim we will perform metabolomics and proteomics analyses of bovine uterine fluid at different stages and will use these data to rationally develop a culture system able to sustain conceptus development. The knowledge generated by this project will serve to develop strategies to enhance farming profitability by reducing embryonic loss and to understand Developmental Biology questions unanswered by the mouse model.
Max ERC Funding
1 480 880 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym FASTPARSE
Project Fast Natural Language Parsing for Large-Scale NLP
Researcher (PI) Carlos GoMEZ RODRIGUEZ
Host Institution (HI) UNIVERSIDADE DA CORUNA
Country Spain
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary The popularization of information technology and the Internet has resulted in an unprecedented growth in the scale at which individuals and institutions generate, communicate and access information. In this context, the effective leveraging of the vast amounts of available data to discover and address people's needs is a fundamental problem of modern societies.
Since most of this circulating information is in the form of written or spoken human language, natural language processing (NLP) technologies are a key asset for this crucial goal. NLP can be used to break language barriers (machine translation), find required information (search engines, question answering), monitor public opinion (opinion mining), or digest large amounts of unstructured text into more convenient forms (information extraction, summarization), among other applications.
These and other NLP technologies rely on accurate syntactic parsing to extract or analyze the meaning of sentences. Unfortunately, current state-of-the-art parsing algorithms have high computational costs, processing less than a hundred sentences per second on standard hardware. While this is acceptable for working on small sets of documents, it is clearly prohibitive for large-scale processing, and thus constitutes a major roadblock for the widespread application of NLP.
The goal of this project is to eliminate this bottleneck by developing fast parsers that are suitable for web-scale processing. To do so, FASTPARSE will improve the speed of parsers on several fronts: by avoiding redundant calculations through the reuse of intermediate results from previous sentences; by applying a cognitively-inspired model to compress and recode linguistic information; and by exploiting regularities in human language to find patterns that the parsers can take for granted, avoiding their explicit calculation. The joint application of these techniques will result in much faster parsers that can power all kinds of web-scale NLP applications.
Summary
The popularization of information technology and the Internet has resulted in an unprecedented growth in the scale at which individuals and institutions generate, communicate and access information. In this context, the effective leveraging of the vast amounts of available data to discover and address people's needs is a fundamental problem of modern societies.
Since most of this circulating information is in the form of written or spoken human language, natural language processing (NLP) technologies are a key asset for this crucial goal. NLP can be used to break language barriers (machine translation), find required information (search engines, question answering), monitor public opinion (opinion mining), or digest large amounts of unstructured text into more convenient forms (information extraction, summarization), among other applications.
These and other NLP technologies rely on accurate syntactic parsing to extract or analyze the meaning of sentences. Unfortunately, current state-of-the-art parsing algorithms have high computational costs, processing less than a hundred sentences per second on standard hardware. While this is acceptable for working on small sets of documents, it is clearly prohibitive for large-scale processing, and thus constitutes a major roadblock for the widespread application of NLP.
The goal of this project is to eliminate this bottleneck by developing fast parsers that are suitable for web-scale processing. To do so, FASTPARSE will improve the speed of parsers on several fronts: by avoiding redundant calculations through the reuse of intermediate results from previous sentences; by applying a cognitively-inspired model to compress and recode linguistic information; and by exploiting regularities in human language to find patterns that the parsers can take for granted, avoiding their explicit calculation. The joint application of these techniques will result in much faster parsers that can power all kinds of web-scale NLP applications.
Max ERC Funding
1 481 747 €
Duration
Start date: 2017-02-01, End date: 2022-01-31
Project acronym GOPG
Project Globalization, Optimal Policies and Growth
Researcher (PI) Gino Gancia
Host Institution (HI) Centre de Recerca en Economia Internacional (CREI)
Country Spain
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary This project studies the challenges that policy makers face in a world where globalization is proceeding at high speed and knowledge creation is the key to prosperity. It consists of two main parts: one focuses on optimal growth policies, the other on policy externalities induced by market integration. The first part builds on the premise that fostering innovation requires appropriate regulations on product market competition and on Intellectual Property Rights. The following questions will be addressed. What are the optimal competition and IPR policies when economic growth requires both innovation and technology diffusion? Are competition and IPR policies complements or substitutes? How does the optimal policy mix change with economic development? How do optimal contractual relationships evolve with development? What are the misallocations created by market power when sectors and firms are heterogeneous in technology and in the exposure to foreign competition? Are trade liberalization and competition policy complements or substitutes? The second part studies the consequences of and remedies to the growing mismatch between economic and political borders created by globalization. The following questions will be addressed: Why does the size of governments increase with globalization? Does higher international factor mobility lead to a race to the bottom in taxation? What is the effect of trade openness on pollution and environmental regulations? Can globalization induce governments to adopt more stringent environmental regulations? Does market integration call for a reorganization of the world political structure? Can the tendency to reinforce supra-national entities and the process of political fragmentation within states be complementary reactions to globalization?
Summary
This project studies the challenges that policy makers face in a world where globalization is proceeding at high speed and knowledge creation is the key to prosperity. It consists of two main parts: one focuses on optimal growth policies, the other on policy externalities induced by market integration. The first part builds on the premise that fostering innovation requires appropriate regulations on product market competition and on Intellectual Property Rights. The following questions will be addressed. What are the optimal competition and IPR policies when economic growth requires both innovation and technology diffusion? Are competition and IPR policies complements or substitutes? How does the optimal policy mix change with economic development? How do optimal contractual relationships evolve with development? What are the misallocations created by market power when sectors and firms are heterogeneous in technology and in the exposure to foreign competition? Are trade liberalization and competition policy complements or substitutes? The second part studies the consequences of and remedies to the growing mismatch between economic and political borders created by globalization. The following questions will be addressed: Why does the size of governments increase with globalization? Does higher international factor mobility lead to a race to the bottom in taxation? What is the effect of trade openness on pollution and environmental regulations? Can globalization induce governments to adopt more stringent environmental regulations? Does market integration call for a reorganization of the world political structure? Can the tendency to reinforce supra-national entities and the process of political fragmentation within states be complementary reactions to globalization?
Max ERC Funding
450 000 €
Duration
Start date: 2009-09-01, End date: 2014-08-31
Project acronym HighMemory
Project Beyond classical conditioning: Hippocampal circuits in higher-order memory processes
Researcher (PI) Arnau Busquets Garcia
Host Institution (HI) FUNDACIO INSTITUT MAR D INVESTIGACIONS MEDIQUES IMIM
Country Spain
Call Details Starting Grant (StG), LS5, ERC-2020-STG
Summary Animals and humans adapt to changes in the environment through the encoding and storage of previous experiences. Although associative learning involving a reinforcer has been the major focus in the field of cognition, other forms of learning are gaining popularity as they are likely more relevant and frequent in human daily choices. Indeed, associations between non-reinforcing stimuli represent the most evolutionarily advanced way to increase the chances of predicting future events and adapting individuals’ behavior. Animals are also able to form these higher-order conditioning processes, but more research is needed to understand how the brain encode and store these complex cognitive processes. In this project, I propose to study the role of hippocampo-cortical circuits in higher-order conditioning processes. These processes explain why subjects are often repulsed or attracted by stimuli, which do not have intrinsic repellent or appealing value and they were never explicitly paired with negative or positive outcomes. A proposed explanation of these “ungrounded” aversion or attraction is that these stimuli were incidentally associated with other cues directly reinforced, through a process called mediated learning (ML). However, with increased incidental associations, the subjects acquire more information, allowing them to separate the real saliences of the different stimuli. Therefore, ML evolves into “reality testing”(RT), a behavioral process that has been even less studied. These processes involve multiple brain regions and are characterized by accessible phases, making them perfect models to study the circuit-level regulation of complex behavior. By using genetic, pharmacological, imaging and mouse behavioral approaches (sensory preconditioning), HighMemory proposes to characterize at macro- (brain regions), meso- (cell-types) and micro-scale (activity changes), the causal involvement of hippocampo-cortical projections in higher-order conditioning processes.
Summary
Animals and humans adapt to changes in the environment through the encoding and storage of previous experiences. Although associative learning involving a reinforcer has been the major focus in the field of cognition, other forms of learning are gaining popularity as they are likely more relevant and frequent in human daily choices. Indeed, associations between non-reinforcing stimuli represent the most evolutionarily advanced way to increase the chances of predicting future events and adapting individuals’ behavior. Animals are also able to form these higher-order conditioning processes, but more research is needed to understand how the brain encode and store these complex cognitive processes. In this project, I propose to study the role of hippocampo-cortical circuits in higher-order conditioning processes. These processes explain why subjects are often repulsed or attracted by stimuli, which do not have intrinsic repellent or appealing value and they were never explicitly paired with negative or positive outcomes. A proposed explanation of these “ungrounded” aversion or attraction is that these stimuli were incidentally associated with other cues directly reinforced, through a process called mediated learning (ML). However, with increased incidental associations, the subjects acquire more information, allowing them to separate the real saliences of the different stimuli. Therefore, ML evolves into “reality testing”(RT), a behavioral process that has been even less studied. These processes involve multiple brain regions and are characterized by accessible phases, making them perfect models to study the circuit-level regulation of complex behavior. By using genetic, pharmacological, imaging and mouse behavioral approaches (sensory preconditioning), HighMemory proposes to characterize at macro- (brain regions), meso- (cell-types) and micro-scale (activity changes), the causal involvement of hippocampo-cortical projections in higher-order conditioning processes.
Max ERC Funding
1 499 826 €
Duration
Start date: 2021-05-01, End date: 2026-04-30
Project acronym HOLOLHC
Project Holography for the LHC era
Researcher (PI) David Julian Mateos Sole
Host Institution (HI) UNIVERSITAT DE BARCELONA
Country Spain
Call Details Starting Grant (StG), PE2, ERC-2012-StG_20111012
Summary With the advent of the Large Hadron Collider (LHC), particle and nuclear physics have entered a new era. Heavy ion collisions at the LHC have already begun to provide new insights into the quark-gluon plasma (QGP) phase of Quantum Chromodynamics (QCD). The beam energy scan program at the Relativistic Heavy Ion Collider (RHIC) will explore part of the rich phase diagram of QCD at finite baryon density. Proton-proton collisions at the LHC will uncover the mechanism responsible for electroweak symmetry breaking (EWSB).
Much of the physics involved in these experiments is, or may turn out to be, strongly coupled. Making contact with experiment thus requires a theoretical understanding of strongly coupled gauge dynamics. This project aims at using the gauge/string duality to make essential contributions to our understanding of: (i) Out-of-equilbrium dynamics of the QGP, in particular of the thermalization process; (ii) The QCD phase diagram, in particular of color superconducting phases; (iii) Strongly coupled dynamics potentially relevant for EWSB, in particular of walking dynamics.
These three main objectives are interconnected by two horizontal lines: (i) Identification of universal observables, which hold the best potential to make contact with experiment, and (ii) Communication with other fields, which is crucial for the success of such an interdisciplinary proposal.
Summary
With the advent of the Large Hadron Collider (LHC), particle and nuclear physics have entered a new era. Heavy ion collisions at the LHC have already begun to provide new insights into the quark-gluon plasma (QGP) phase of Quantum Chromodynamics (QCD). The beam energy scan program at the Relativistic Heavy Ion Collider (RHIC) will explore part of the rich phase diagram of QCD at finite baryon density. Proton-proton collisions at the LHC will uncover the mechanism responsible for electroweak symmetry breaking (EWSB).
Much of the physics involved in these experiments is, or may turn out to be, strongly coupled. Making contact with experiment thus requires a theoretical understanding of strongly coupled gauge dynamics. This project aims at using the gauge/string duality to make essential contributions to our understanding of: (i) Out-of-equilbrium dynamics of the QGP, in particular of the thermalization process; (ii) The QCD phase diagram, in particular of color superconducting phases; (iii) Strongly coupled dynamics potentially relevant for EWSB, in particular of walking dynamics.
These three main objectives are interconnected by two horizontal lines: (i) Identification of universal observables, which hold the best potential to make contact with experiment, and (ii) Communication with other fields, which is crucial for the success of such an interdisciplinary proposal.
Max ERC Funding
1 419 424 €
Duration
Start date: 2012-10-01, End date: 2017-09-30