Project acronym ABACUS
Project Advancing Behavioral and Cognitive Understanding of Speech
Researcher (PI) Bart De Boer
Host Institution (HI) VRIJE UNIVERSITEIT BRUSSEL
Call Details Starting Grant (StG), SH4, ERC-2011-StG_20101124
Summary I intend to investigate what cognitive mechanisms give us combinatorial speech. Combinatorial speech is the ability to make new words using pre-existing speech sounds. Humans are the only apes that can do this, yet we do not know how our brains do it, nor how exactly we differ from other apes. Using new experimental techniques to study human behavior and new computational techniques to model human cognition, I will find out how we deal with combinatorial speech.
The experimental part will study individual and cultural learning. Experimental cultural learning is a new technique that simulates cultural evolution in the laboratory. Two types of cultural learning will be used: iterated learning, which simulates language transfer across generations, and social coordination, which simulates emergence of norms in a language community. Using the two types of cultural learning together with individual learning experiments will help to zero in, from three angles, on how humans deal with combinatorial speech. In addition it will make a methodological contribution by comparing the strengths and weaknesses of the three methods.
The computer modeling part will formalize hypotheses about how our brains deal with combinatorial speech. Two models will be built: a high-level model that will establish the basic algorithms with which combinatorial speech is learned and reproduced, and a neural model that will establish in more detail how the algorithms are implemented in the brain. In addition, the models, through increasing understanding of how humans deal with speech, will help bridge the performance gap between human and computer speech recognition.
The project will advance science in four ways: it will provide insight into how our unique ability for using combinatorial speech works, it will tell us how this is implemented in the brain, it will extend the novel methodology of experimental cultural learning and it will create new computer models for dealing with human speech.
Summary
I intend to investigate what cognitive mechanisms give us combinatorial speech. Combinatorial speech is the ability to make new words using pre-existing speech sounds. Humans are the only apes that can do this, yet we do not know how our brains do it, nor how exactly we differ from other apes. Using new experimental techniques to study human behavior and new computational techniques to model human cognition, I will find out how we deal with combinatorial speech.
The experimental part will study individual and cultural learning. Experimental cultural learning is a new technique that simulates cultural evolution in the laboratory. Two types of cultural learning will be used: iterated learning, which simulates language transfer across generations, and social coordination, which simulates emergence of norms in a language community. Using the two types of cultural learning together with individual learning experiments will help to zero in, from three angles, on how humans deal with combinatorial speech. In addition it will make a methodological contribution by comparing the strengths and weaknesses of the three methods.
The computer modeling part will formalize hypotheses about how our brains deal with combinatorial speech. Two models will be built: a high-level model that will establish the basic algorithms with which combinatorial speech is learned and reproduced, and a neural model that will establish in more detail how the algorithms are implemented in the brain. In addition, the models, through increasing understanding of how humans deal with speech, will help bridge the performance gap between human and computer speech recognition.
The project will advance science in four ways: it will provide insight into how our unique ability for using combinatorial speech works, it will tell us how this is implemented in the brain, it will extend the novel methodology of experimental cultural learning and it will create new computer models for dealing with human speech.
Max ERC Funding
1 276 620 €
Duration
Start date: 2012-02-01, End date: 2017-01-31
Project acronym ACQDIV
Project Acquisition processes in maximally diverse languages: Min(d)ing the ambient language
Researcher (PI) Sabine Erika Stoll
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Consolidator Grant (CoG), SH4, ERC-2013-CoG
Summary "Children learn any language that they grow up with, adapting to any of the ca. 7000 languages of the world, no matter how divergent or complex their structures are. What cognitive processes make this extreme flexibility possible? This is one of the most burning questions in cognitive science and the ACQDIV project aims at answering it by testing and refining the following leading hypothesis: Language acquisition is flexible and adaptive to any kind of language because it relies on a small set of universal cognitive processes that variably target different structures at different times during acquisition in every language. The project aims at establishing the precise set of processes and at determining the conditions of variation across maximally diverse languages. This project focuses on three processes: (i) distributional learning, (ii) generalization-based learning and (iii) interaction-based learning. To investigate these processes I will work with a sample of five clusters of languages including longitudinal data of two languages each. The clusters were determined by a clustering algorithm seeking the structurally most divergent languages in a typological database. The languages are: Cluster 1: Slavey and Cree, Cluster 2: Indonesian and Yucatec, Cluster 3: Inuktitut and Chintang, Cluster 4: Sesotho and Russian, Cluster 5: Japanese and Turkish. For all languages, corpora are available, except for Slavey where fieldwork is planned. The leading hypothesis will be tested against the acquisition of aspect and negation in each language of the sample and also against the two structures in each language that are most salient and challenging in them (e. g. complex morphology in Chintang). The acquisition processes also depend on statistical patterns in the input children receive. I will examine these patterns across the sample with respect to repetitiveness effects, applying data-mining methods and systematically comparing child-directed and child-surrounding speech."
Summary
"Children learn any language that they grow up with, adapting to any of the ca. 7000 languages of the world, no matter how divergent or complex their structures are. What cognitive processes make this extreme flexibility possible? This is one of the most burning questions in cognitive science and the ACQDIV project aims at answering it by testing and refining the following leading hypothesis: Language acquisition is flexible and adaptive to any kind of language because it relies on a small set of universal cognitive processes that variably target different structures at different times during acquisition in every language. The project aims at establishing the precise set of processes and at determining the conditions of variation across maximally diverse languages. This project focuses on three processes: (i) distributional learning, (ii) generalization-based learning and (iii) interaction-based learning. To investigate these processes I will work with a sample of five clusters of languages including longitudinal data of two languages each. The clusters were determined by a clustering algorithm seeking the structurally most divergent languages in a typological database. The languages are: Cluster 1: Slavey and Cree, Cluster 2: Indonesian and Yucatec, Cluster 3: Inuktitut and Chintang, Cluster 4: Sesotho and Russian, Cluster 5: Japanese and Turkish. For all languages, corpora are available, except for Slavey where fieldwork is planned. The leading hypothesis will be tested against the acquisition of aspect and negation in each language of the sample and also against the two structures in each language that are most salient and challenging in them (e. g. complex morphology in Chintang). The acquisition processes also depend on statistical patterns in the input children receive. I will examine these patterns across the sample with respect to repetitiveness effects, applying data-mining methods and systematically comparing child-directed and child-surrounding speech."
Max ERC Funding
1 998 438 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym ADAM
Project The Adaptive Auditory Mind
Researcher (PI) Shihab Shamma
Host Institution (HI) ECOLE NORMALE SUPERIEURE
Call Details Advanced Grant (AdG), SH4, ERC-2011-ADG_20110406
Summary Listening in realistic situations is an active process that engages perceptual and cognitive faculties, endowing speech with meaning, music with joy, and environmental sounds with emotion. Through hearing, humans and other animals navigate complex acoustic scenes, separate sound mixtures, and assess their behavioral relevance. These remarkable feats are currently beyond our understanding and exceed the capabilities of the most sophisticated audio engineering systems. The goal of the proposed research is to investigate experimentally a novel view of hearing, where active hearing emerges from a deep interplay between adaptive sensory processes and goal-directed cognition. Specifically, we shall explore the postulate that versatile perception is mediated by rapid-plasticity at the neuronal level. At the conjunction of sensory and cognitive processing, rapid-plasticity pervades all levels of auditory system, from the cochlea up to the auditory and prefrontal cortices. Exploiting fundamental statistical regularities of acoustics, it is what allows humans and other animal to deal so successfully with natural acoustic scenes where artificial systems fail. The project builds on the internationally recognized leadership of the PI in the fields of physiology and computational modeling, combined with the expertise of the Co-Investigator in psychophysics. Building on these highly complementary fields and several technical innovations, we hope to promote a novel view of auditory perception and cognition. We aim also to contribute significantly to translational research in the domain of signal processing for clinical hearing aids, given that many current limitations are not technological but rather conceptual. The project will finally result in the creation of laboratory facilities and an intellectual network unique in France and rare in all of Europe, combining cognitive, neural, and computational approaches to auditory neuroscience.
Summary
Listening in realistic situations is an active process that engages perceptual and cognitive faculties, endowing speech with meaning, music with joy, and environmental sounds with emotion. Through hearing, humans and other animals navigate complex acoustic scenes, separate sound mixtures, and assess their behavioral relevance. These remarkable feats are currently beyond our understanding and exceed the capabilities of the most sophisticated audio engineering systems. The goal of the proposed research is to investigate experimentally a novel view of hearing, where active hearing emerges from a deep interplay between adaptive sensory processes and goal-directed cognition. Specifically, we shall explore the postulate that versatile perception is mediated by rapid-plasticity at the neuronal level. At the conjunction of sensory and cognitive processing, rapid-plasticity pervades all levels of auditory system, from the cochlea up to the auditory and prefrontal cortices. Exploiting fundamental statistical regularities of acoustics, it is what allows humans and other animal to deal so successfully with natural acoustic scenes where artificial systems fail. The project builds on the internationally recognized leadership of the PI in the fields of physiology and computational modeling, combined with the expertise of the Co-Investigator in psychophysics. Building on these highly complementary fields and several technical innovations, we hope to promote a novel view of auditory perception and cognition. We aim also to contribute significantly to translational research in the domain of signal processing for clinical hearing aids, given that many current limitations are not technological but rather conceptual. The project will finally result in the creation of laboratory facilities and an intellectual network unique in France and rare in all of Europe, combining cognitive, neural, and computational approaches to auditory neuroscience.
Max ERC Funding
3 199 078 €
Duration
Start date: 2012-10-01, End date: 2018-09-30
Project acronym ADDICTION
Project Beyond the Genetics of Addiction
Researcher (PI) Jacqueline Mignon Vink
Host Institution (HI) STICHTING KATHOLIEKE UNIVERSITEIT
Call Details Starting Grant (StG), SH4, ERC-2011-StG_20101124
Summary My proposal seeks to explain the complex interplay between genetic and environmental causes of individual variation in substance use and the risk for abuse. Substance use is common. Substances like nicotine and cannabis have well-known negative health consequences, while alcohol and caffeine use may be both beneficial and detrimental, depending on quantity and frequency of use. Twin studies (including my own) demonstrated that both heritable and environmental factors play a role.
My proposal on substance use (nicotine, alcohol, cannabis and caffeine) is organized around several key objectives: 1. To unravel the complex contribution of genetic and environmental factors to substance use by using extended twin family designs; 2. To identify and confirm genes and gene networks involved in substance use by using DNA-variant data; 3. To explore gene expression patterns with RNA data in substance users versus non-users; 4. To investigate biomarkers in substance users versus non-users using blood or urine; 5. To unravel relation between substance use and health by linking twin-family data to national medical databases.
To realize these aims I will use the extensive resources of the Netherlands Twin Register (NTR); including both the longitudinal phenotype database and the biological samples. I have been involved in data collection, coordination of data collection and analyzing NTR data since 1999. With my comprehensive experience in data collection, data analyses and my knowledge in the field of behavior genetics and addiction research I will be able to successfully lead this cutting-edge project. Additional data crucial for the project will be collected by my team. Large samples will be available for this study and state-of-the art methods will be used to analyze the data. All together, my project will offer powerful approaches to unravel the complex interaction between genetic and environmental causes of individual differences in substance use and the risk for abuse.
Summary
My proposal seeks to explain the complex interplay between genetic and environmental causes of individual variation in substance use and the risk for abuse. Substance use is common. Substances like nicotine and cannabis have well-known negative health consequences, while alcohol and caffeine use may be both beneficial and detrimental, depending on quantity and frequency of use. Twin studies (including my own) demonstrated that both heritable and environmental factors play a role.
My proposal on substance use (nicotine, alcohol, cannabis and caffeine) is organized around several key objectives: 1. To unravel the complex contribution of genetic and environmental factors to substance use by using extended twin family designs; 2. To identify and confirm genes and gene networks involved in substance use by using DNA-variant data; 3. To explore gene expression patterns with RNA data in substance users versus non-users; 4. To investigate biomarkers in substance users versus non-users using blood or urine; 5. To unravel relation between substance use and health by linking twin-family data to national medical databases.
To realize these aims I will use the extensive resources of the Netherlands Twin Register (NTR); including both the longitudinal phenotype database and the biological samples. I have been involved in data collection, coordination of data collection and analyzing NTR data since 1999. With my comprehensive experience in data collection, data analyses and my knowledge in the field of behavior genetics and addiction research I will be able to successfully lead this cutting-edge project. Additional data crucial for the project will be collected by my team. Large samples will be available for this study and state-of-the art methods will be used to analyze the data. All together, my project will offer powerful approaches to unravel the complex interaction between genetic and environmental causes of individual differences in substance use and the risk for abuse.
Max ERC Funding
1 491 964 €
Duration
Start date: 2011-12-01, End date: 2017-05-31
Project acronym AFFORDS-HIGHER
Project Skilled Intentionality for 'Higher' Embodied Cognition: Joining forces with a field of affordances in flux
Researcher (PI) Dirk Willem Rietveld
Host Institution (HI) ACADEMISCH MEDISCH CENTRUM BIJ DE UNIVERSITEIT VAN AMSTERDAM
Call Details Starting Grant (StG), SH4, ERC-2015-STG
Summary In many situations experts act adequately, yet without deliberation. Architects e.g, immediately sense opportunities offered by the site of a new project. One could label these manifestations of expert intuition as ‘higher-level’ cognition, but still these experts act unreflectively. The aim of my project is to develop the Skilled Intentionality Framework (SIF), a new conceptual framework for the field of embodied/enactive cognitive science (Chemero, 2009; Thompson, 2007). I argue that affordances - possibilities for action provided by our surroundings - are highly significant in cases of unreflective and reflective ‘higher’ cognition. Skilled Intentionality is skilled coordination with multiple affordances simultaneously.
The two central ideas behind this proposal are (a) that episodes of skilled ‘higher’ cognition can be understood as responsiveness to affordances for ‘higher’ cognition and (b) that our surroundings are highly resourceful and contribute to skillful action and cognition in a far more fundamental way than is generally acknowledged. I use embedded philosophical research in a particular practice of architecture to shed new light on the ways in which affordances for ‘higher’ cognition support creative imagination, anticipation, explicit planning and self-reflection.
The Skilled Intentionality Framework is groundbreaking in relating findings established at several complementary levels of analysis: philosophy/phenomenology, ecological psychology, affective science and neurodynamics.
Empirical findings thought to be exclusively valid for everyday unreflective action can now be used to explain skilled ‘higher’ cognition as well. Moreover, SIF brings both the context and the social back into cognitive science. I will show SIF’s relevance for Friston’s work on the anticipating brain, and apply it in the domain of architecture and public health. SIF will radically widen the scope of the increasingly influential field of embodied cognitive science.
Summary
In many situations experts act adequately, yet without deliberation. Architects e.g, immediately sense opportunities offered by the site of a new project. One could label these manifestations of expert intuition as ‘higher-level’ cognition, but still these experts act unreflectively. The aim of my project is to develop the Skilled Intentionality Framework (SIF), a new conceptual framework for the field of embodied/enactive cognitive science (Chemero, 2009; Thompson, 2007). I argue that affordances - possibilities for action provided by our surroundings - are highly significant in cases of unreflective and reflective ‘higher’ cognition. Skilled Intentionality is skilled coordination with multiple affordances simultaneously.
The two central ideas behind this proposal are (a) that episodes of skilled ‘higher’ cognition can be understood as responsiveness to affordances for ‘higher’ cognition and (b) that our surroundings are highly resourceful and contribute to skillful action and cognition in a far more fundamental way than is generally acknowledged. I use embedded philosophical research in a particular practice of architecture to shed new light on the ways in which affordances for ‘higher’ cognition support creative imagination, anticipation, explicit planning and self-reflection.
The Skilled Intentionality Framework is groundbreaking in relating findings established at several complementary levels of analysis: philosophy/phenomenology, ecological psychology, affective science and neurodynamics.
Empirical findings thought to be exclusively valid for everyday unreflective action can now be used to explain skilled ‘higher’ cognition as well. Moreover, SIF brings both the context and the social back into cognitive science. I will show SIF’s relevance for Friston’s work on the anticipating brain, and apply it in the domain of architecture and public health. SIF will radically widen the scope of the increasingly influential field of embodied cognitive science.
Max ERC Funding
1 499 850 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym AgeConsolidate
Project The Missing Link of Episodic Memory Decline in Aging: The Role of Inefficient Systems Consolidation
Researcher (PI) Anders Martin FJELL
Host Institution (HI) UNIVERSITETET I OSLO
Call Details Consolidator Grant (CoG), SH4, ERC-2016-COG
Summary Which brain mechanisms are responsible for the faith of the memories we make with age, whether they wither or stay, and in what form? Episodic memory function does decline with age. While this decline can have multiple causes, research has focused almost entirely on encoding and retrieval processes, largely ignoring a third critical process– consolidation. The objective of AgeConsolidate is to provide this missing link, by combining novel experimental cognitive paradigms with neuroimaging in a longitudinal large-scale attempt to directly test how age-related changes in consolidation processes in the brain impact episodic memory decline. The ambitious aims of the present proposal are two-fold:
(1) Use recent advances in memory consolidation theory to achieve an elaborate model of episodic memory deficits in aging
(2) Use aging as a model to uncover how structural and functional brain changes affect episodic memory consolidation in general
The novelty of the project lies in the synthesis of recent methodological advances and theoretical models for episodic memory consolidation to explain age-related decline, by employing a unique combination of a range of different techniques and approaches. This is ground-breaking, in that it aims at taking our understanding of the brain processes underlying episodic memory decline in aging to a new level, while at the same time advancing our theoretical understanding of how episodic memories are consolidated in the human brain. To obtain this outcome, I will test the main hypothesis of the project: Brain processes of episodic memory consolidation are less effective in older adults, and this can account for a significant portion of the episodic memory decline in aging. This will be answered by six secondary hypotheses, with 1-3 experiments or tasks designated to address each hypothesis, focusing on functional and structural MRI, positron emission tomography data and sleep experiments to target consolidation from different angles.
Summary
Which brain mechanisms are responsible for the faith of the memories we make with age, whether they wither or stay, and in what form? Episodic memory function does decline with age. While this decline can have multiple causes, research has focused almost entirely on encoding and retrieval processes, largely ignoring a third critical process– consolidation. The objective of AgeConsolidate is to provide this missing link, by combining novel experimental cognitive paradigms with neuroimaging in a longitudinal large-scale attempt to directly test how age-related changes in consolidation processes in the brain impact episodic memory decline. The ambitious aims of the present proposal are two-fold:
(1) Use recent advances in memory consolidation theory to achieve an elaborate model of episodic memory deficits in aging
(2) Use aging as a model to uncover how structural and functional brain changes affect episodic memory consolidation in general
The novelty of the project lies in the synthesis of recent methodological advances and theoretical models for episodic memory consolidation to explain age-related decline, by employing a unique combination of a range of different techniques and approaches. This is ground-breaking, in that it aims at taking our understanding of the brain processes underlying episodic memory decline in aging to a new level, while at the same time advancing our theoretical understanding of how episodic memories are consolidated in the human brain. To obtain this outcome, I will test the main hypothesis of the project: Brain processes of episodic memory consolidation are less effective in older adults, and this can account for a significant portion of the episodic memory decline in aging. This will be answered by six secondary hypotheses, with 1-3 experiments or tasks designated to address each hypothesis, focusing on functional and structural MRI, positron emission tomography data and sleep experiments to target consolidation from different angles.
Max ERC Funding
1 999 482 €
Duration
Start date: 2017-05-01, End date: 2022-04-30
Project acronym AGESPACE
Project SPATIAL NAVIGATION – A UNIQUE WINDOW INTO MECHANISMS OF COGNITIVE AGEING
Researcher (PI) Thomas Wolbers
Host Institution (HI) DEUTSCHES ZENTRUM FUR NEURODEGENERATIVE ERKRANKUNGEN EV
Call Details Starting Grant (StG), SH4, ERC-2013-StG
Summary "By 2040, the European population aged over 60 will rise to 290 million, with those estimated to have dementia to 15.9 million. These dramatic demographic changes will pose huge challenges to health care systems, hence a detailed understanding of age-related cognitive and neurobiological changes is essential for helping elderly populations maintain independence. However, while existing research into cognitive ageing has carefully characterised developmental trajectories of functions such as memory and processing speed, one key cognitive ability that is particularly relevant to everyday functioning has received very little attention: In surveys, elderly people often report substantial declines in navigational abilities such as problems with finding one’s way in a novel environment. Such deficits severely restrict the mobility of elderly people and affect physical activity and social participation, but the underlying behavioural and neuronal mechanisms are poorly understood.
In this proposal, I will take a new approach to cognitive ageing that will bridge the gap between animal neurobiology and human cognitive neuroscience. With support from the ERC, I will create a team that will characterise the mechanisms mediating age-related changes in navigational processing in humans. The project will focus on three structures that perform key computations for spatial navigation, form a closely interconnected triadic network, and are particularly sensitive to the ageing process. Crucially, the team will employ an interdisciplinary methodological approach that combines mathematical modelling, brain imaging and innovative data analysis techniques with novel virtual environment technology, which allows for rigorous testing of predictions derived from animal findings. Finally, the proposal also incorporates a translational project aimed at improving spatial mnemonic functioning with a behavioural intervention, which provides a direct test of functional relevance and societal impact."
Summary
"By 2040, the European population aged over 60 will rise to 290 million, with those estimated to have dementia to 15.9 million. These dramatic demographic changes will pose huge challenges to health care systems, hence a detailed understanding of age-related cognitive and neurobiological changes is essential for helping elderly populations maintain independence. However, while existing research into cognitive ageing has carefully characterised developmental trajectories of functions such as memory and processing speed, one key cognitive ability that is particularly relevant to everyday functioning has received very little attention: In surveys, elderly people often report substantial declines in navigational abilities such as problems with finding one’s way in a novel environment. Such deficits severely restrict the mobility of elderly people and affect physical activity and social participation, but the underlying behavioural and neuronal mechanisms are poorly understood.
In this proposal, I will take a new approach to cognitive ageing that will bridge the gap between animal neurobiology and human cognitive neuroscience. With support from the ERC, I will create a team that will characterise the mechanisms mediating age-related changes in navigational processing in humans. The project will focus on three structures that perform key computations for spatial navigation, form a closely interconnected triadic network, and are particularly sensitive to the ageing process. Crucially, the team will employ an interdisciplinary methodological approach that combines mathematical modelling, brain imaging and innovative data analysis techniques with novel virtual environment technology, which allows for rigorous testing of predictions derived from animal findings. Finally, the proposal also incorporates a translational project aimed at improving spatial mnemonic functioning with a behavioural intervention, which provides a direct test of functional relevance and societal impact."
Max ERC Funding
1 318 990 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym AMORE
Project A distributional MOdel of Reference to Entities
Researcher (PI) Gemma BOLEDA TORRENT
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary "When I asked my seven-year-old daughter ""Who is the boy in your class who was also new in school last year, like you?"", she instantly replied ""Daniel"", using the descriptive content in my utterance to identify an entity in the real world and refer to it. The ability to use language to refer to reality is crucial for humans, and yet it is very difficult to model. AMORE breaks new ground in Computational Linguistics, Linguistics, and Artificial Intelligence by developing a model of linguistic reference to entities implemented as a computational system that can learn its own representations from data.
This interdisciplinary project builds on two complementary semantic traditions: 1) Formal semantics, a symbolic approach that can delimit and track linguistic referents, but does not adequately match them with the descriptive content of linguistic expressions; 2) Distributional semantics, which can handle descriptive content but does not associate it to individuated referents. AMORE synthesizes the two approaches into a unified, scalable model of reference that operates with individuated referents and links them to referential expressions characterized by rich descriptive content. The model is a distributed (neural network) version of a formal semantic framework that is furthermore able to integrate perceptual (visual) and linguistic information about entities. We test it extensively in referential tasks that require matching noun phrases (“the Medicine student”, “the white cat”) with entity representations extracted from text and images.
AMORE advances our scientific understanding of language and its computational modeling, and contributes to the far-reaching debate between symbolic and distributed approaches to cognition with an integrative proposal. I am in a privileged position to carry out this integration, since I have contributed top research in both distributional and formal semantics.
"
Summary
"When I asked my seven-year-old daughter ""Who is the boy in your class who was also new in school last year, like you?"", she instantly replied ""Daniel"", using the descriptive content in my utterance to identify an entity in the real world and refer to it. The ability to use language to refer to reality is crucial for humans, and yet it is very difficult to model. AMORE breaks new ground in Computational Linguistics, Linguistics, and Artificial Intelligence by developing a model of linguistic reference to entities implemented as a computational system that can learn its own representations from data.
This interdisciplinary project builds on two complementary semantic traditions: 1) Formal semantics, a symbolic approach that can delimit and track linguistic referents, but does not adequately match them with the descriptive content of linguistic expressions; 2) Distributional semantics, which can handle descriptive content but does not associate it to individuated referents. AMORE synthesizes the two approaches into a unified, scalable model of reference that operates with individuated referents and links them to referential expressions characterized by rich descriptive content. The model is a distributed (neural network) version of a formal semantic framework that is furthermore able to integrate perceptual (visual) and linguistic information about entities. We test it extensively in referential tasks that require matching noun phrases (“the Medicine student”, “the white cat”) with entity representations extracted from text and images.
AMORE advances our scientific understanding of language and its computational modeling, and contributes to the far-reaching debate between symbolic and distributed approaches to cognition with an integrative proposal. I am in a privileged position to carry out this integration, since I have contributed top research in both distributional and formal semantics.
"
Max ERC Funding
1 499 805 €
Duration
Start date: 2017-02-01, End date: 2022-01-31
Project acronym ApeAttachment
Project Are social skills determined by early live experiences?
Researcher (PI) Catherine Delia Crockford
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), SH4, ERC-2015-STG
Summary Social bonding success in life impacts on health, survival and fitness. It is proposed that early and later social experience as well as heritable factors determine social bonding abilities in adulthood, although the relative influence of each is unclear. In humans, the resulting uncertainty likely impedes psychological and psychiatric assessment and therapy. One problem hampering progress for human studies is that social bonding success is hard to objectively quantify, particularly in adults. I propose to directly address this problem by determining the key influences on social bonding abilities in chimpanzees, our closest living relative, where social bonding success can be objectively quantified, and is defined as number of affiliative relationships maintained over time with high rates of affiliation.
Objectives. This project will quantify the relative impact of early and later social experience as well as heritable factors on social hormone levels, social cognition and social bonding success in 270 wild and captive chimpanzees, using both cohort and longitudinal data. This will reveal the degree of plasticity in social cognition and bonding behaviour throughout life. Finally, it will evaluate the potential for using endogenous hormone levels as non-invasive biomarkers of social bonding success, as well as identifying social contexts that act as strong natural social hormone releasers.
Outcomes. This project will expose what makes some better at social bonding than others. Specifically, it will show the extent to which later social experience can compensate for early social experience or heritable factors in terms of adult social bonding success, the latter being a key factor in determining health and happiness in life. This project also offers the potential for using hormonal biomarkers in clincial settings, as objective assessment of changes in relationships over time, and in therapy by engaging in social behaviours that act as strong social hormone releasers.
Summary
Social bonding success in life impacts on health, survival and fitness. It is proposed that early and later social experience as well as heritable factors determine social bonding abilities in adulthood, although the relative influence of each is unclear. In humans, the resulting uncertainty likely impedes psychological and psychiatric assessment and therapy. One problem hampering progress for human studies is that social bonding success is hard to objectively quantify, particularly in adults. I propose to directly address this problem by determining the key influences on social bonding abilities in chimpanzees, our closest living relative, where social bonding success can be objectively quantified, and is defined as number of affiliative relationships maintained over time with high rates of affiliation.
Objectives. This project will quantify the relative impact of early and later social experience as well as heritable factors on social hormone levels, social cognition and social bonding success in 270 wild and captive chimpanzees, using both cohort and longitudinal data. This will reveal the degree of plasticity in social cognition and bonding behaviour throughout life. Finally, it will evaluate the potential for using endogenous hormone levels as non-invasive biomarkers of social bonding success, as well as identifying social contexts that act as strong natural social hormone releasers.
Outcomes. This project will expose what makes some better at social bonding than others. Specifically, it will show the extent to which later social experience can compensate for early social experience or heritable factors in terms of adult social bonding success, the latter being a key factor in determining health and happiness in life. This project also offers the potential for using hormonal biomarkers in clincial settings, as objective assessment of changes in relationships over time, and in therapy by engaging in social behaviours that act as strong social hormone releasers.
Max ERC Funding
1 495 000 €
Duration
Start date: 2016-04-01, End date: 2021-03-31
Project acronym ARCHOFCON
Project The Architecture of Consciousness
Researcher (PI) Timothy John Bayne
Host Institution (HI) THE UNIVERSITY OF MANCHESTER
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary The nature of consciousness is one of the great unsolved mysteries of science. Although the global research effort dedicated to explaining how consciousness arises from neural and cognitive activity is now more than two decades old, as yet there is no widely accepted theory of consciousness. One reason for why no adequate theory of consciousness has yet been found is that there is a lack of clarity about what exactly a theory of consciousness needs to explain. What is needed is thus a model of the general features of consciousness — a model of the ‘architecture’ of consciousness — that will systematize the structural differences between conscious states, processes and creatures on the one hand and unconscious states, processes and creatures on the other. The aim of this project is to remove one of the central impediments to the progress of the science of consciousness by constructing such a model.
A great many of the data required for this task already exist, but these data concern different aspects of consciousness and are distributed across many disciplines. As a result, there have been few attempts to develop a truly comprehensive model of the architecture of consciousness. This project will overcome the limitations of previous work by drawing on research in philosophy, psychology, psychiatry, and cognitive neuroscience to develop a model of the architecture of consciousness that is structured around five of its core features: its subjectivity, its temporality, its unity, its selectivity, and its dimensionality (that is, the relationship between the levels of consciousness and the contents of consciousness). By providing a comprehensive characterization of what a theory of consciousness needs to explain, this project will provide a crucial piece of the puzzle of consciousness, enabling future generations of researchers to bridge the gap between raw data on the one hand and a full-blown theory of consciousness on the other
Summary
The nature of consciousness is one of the great unsolved mysteries of science. Although the global research effort dedicated to explaining how consciousness arises from neural and cognitive activity is now more than two decades old, as yet there is no widely accepted theory of consciousness. One reason for why no adequate theory of consciousness has yet been found is that there is a lack of clarity about what exactly a theory of consciousness needs to explain. What is needed is thus a model of the general features of consciousness — a model of the ‘architecture’ of consciousness — that will systematize the structural differences between conscious states, processes and creatures on the one hand and unconscious states, processes and creatures on the other. The aim of this project is to remove one of the central impediments to the progress of the science of consciousness by constructing such a model.
A great many of the data required for this task already exist, but these data concern different aspects of consciousness and are distributed across many disciplines. As a result, there have been few attempts to develop a truly comprehensive model of the architecture of consciousness. This project will overcome the limitations of previous work by drawing on research in philosophy, psychology, psychiatry, and cognitive neuroscience to develop a model of the architecture of consciousness that is structured around five of its core features: its subjectivity, its temporality, its unity, its selectivity, and its dimensionality (that is, the relationship between the levels of consciousness and the contents of consciousness). By providing a comprehensive characterization of what a theory of consciousness needs to explain, this project will provide a crucial piece of the puzzle of consciousness, enabling future generations of researchers to bridge the gap between raw data on the one hand and a full-blown theory of consciousness on the other
Max ERC Funding
1 477 483 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
