Project acronym BRAINMINT
Project Brains and minds in transition: The dark side of neuroplasticity during sensitive life phases
Researcher (PI) Lars T. WESTLYE
Host Institution (HI) UNIVERSITETET I OSLO
Call Details Starting Grant (StG), SH4, ERC-2018-STG
Summary The potential and boundaries of the human mind is determined by dynamic interactions between the environment and the individual genetic architecture. However, despite several breakthroughs, the genetic revolution has not provided a coherent account of the development of the mind and its disorders, and the missing heritability is large across human traits. One explanation of this impasse is the complexity of the gene-environment interactions. Current knowledge about the determinants of a healthy mind is largely based on studies whose modus operandi is to treat the environment as a static entity, neglecting to consider the crucial fact that environmental inputs and their genetic interactions vary dramatically between life phases.
The objective of BRAINMINT is to provide this missing link by zeroing in on two major life transitions, namely adolescence and pregnancy. These phases are characterized by temporarily increased brain plasticity, offering windows for adaptation and growth, but also host the emergence of common mental disorders. I propose that a multi-level investigation with this dark side of brain plasticity as the axis mundi will add a mechanistic understanding of this link between growth and vulnerability. I will test the main hypothesis that mechanisms that boost neuroplasticity promote adaptation to a dynamic environment, but at the cost of increased risk of psychopathology if exposed to a combination of genetic and environmental triggers. To this end I will utilize cutting-edge longitudinal brain imaging, electrophysiology, rich cognitive and clinical data, immune markers, gene expression and genetics. I will leverage on massive imaging data (n>40,000) and novel tools to increase power and generalizability and improve brain- and gene-based predictions of complex traits. Aiming to help resolving one of the modern day enigmas, BRAINMINT is a pioneering and high risk/high gain effort to find mechanisms of brain plasticity that support and harm the brain.
Summary
The potential and boundaries of the human mind is determined by dynamic interactions between the environment and the individual genetic architecture. However, despite several breakthroughs, the genetic revolution has not provided a coherent account of the development of the mind and its disorders, and the missing heritability is large across human traits. One explanation of this impasse is the complexity of the gene-environment interactions. Current knowledge about the determinants of a healthy mind is largely based on studies whose modus operandi is to treat the environment as a static entity, neglecting to consider the crucial fact that environmental inputs and their genetic interactions vary dramatically between life phases.
The objective of BRAINMINT is to provide this missing link by zeroing in on two major life transitions, namely adolescence and pregnancy. These phases are characterized by temporarily increased brain plasticity, offering windows for adaptation and growth, but also host the emergence of common mental disorders. I propose that a multi-level investigation with this dark side of brain plasticity as the axis mundi will add a mechanistic understanding of this link between growth and vulnerability. I will test the main hypothesis that mechanisms that boost neuroplasticity promote adaptation to a dynamic environment, but at the cost of increased risk of psychopathology if exposed to a combination of genetic and environmental triggers. To this end I will utilize cutting-edge longitudinal brain imaging, electrophysiology, rich cognitive and clinical data, immune markers, gene expression and genetics. I will leverage on massive imaging data (n>40,000) and novel tools to increase power and generalizability and improve brain- and gene-based predictions of complex traits. Aiming to help resolving one of the modern day enigmas, BRAINMINT is a pioneering and high risk/high gain effort to find mechanisms of brain plasticity that support and harm the brain.
Max ERC Funding
1 446 113 €
Duration
Start date: 2019-08-01, End date: 2024-07-31
Project acronym GenPercept
Project Spatio-temporal mechanisms of generative perception
Researcher (PI) David BURR
Host Institution (HI) UNIVERSITA DEGLI STUDI DI FIRENZE
Call Details Advanced Grant (AdG), SH4, ERC-2018-ADG
Summary How do we rapidly and effortlessly compute a vivid veridical representation of the external world from the noisy and ambiguous input supplied by our sensors? One possibility is that the brain does not process all incoming sensory information anew, but actively generates a model of the world from past experience, and uses current sensory data to update that model. This classic idea has been well formulised within the modern framework of Generative Bayesian Inference. However, despite these recent theoretical and empirical advances, there is no definitive proof that generative mechanisms prevail in perception, and fundamental questions remain.
The ambitious aim of GenPercept is to establish the importance of generative processes in perception, characterise quantitatively their functional role, and describe their underlying neural mechanisms. With innovative psychophysical and pupillometry techniques, it will show how past perceptual experience is exploited to manage and mould sensory analysis of the present. With ultra-high field imaging, it will identify the underlying neural mechanisms in early sensory cortex. With EEG and custom psychophysics it will show how generative predictive mechanisms mediate perceptual continuity at the time of saccadic eye movements, and explore the innovative idea that neural oscillations reflect reverberations in the propagation of generative prediction and error signals. Finally, it will look at individual differences, particularly in autistic perception, where generative mechanisms show interesting atypicalities.
A full understanding of generative processes will lead to fundamental insights in understanding how we perceive and interact with the world, and how past perceptual experience influences what we perceive. The project is also of clinical relevance, as these systems are prone to dysfunction in several neuro-behavioural conditions, including autism spectrum disorder.
Summary
How do we rapidly and effortlessly compute a vivid veridical representation of the external world from the noisy and ambiguous input supplied by our sensors? One possibility is that the brain does not process all incoming sensory information anew, but actively generates a model of the world from past experience, and uses current sensory data to update that model. This classic idea has been well formulised within the modern framework of Generative Bayesian Inference. However, despite these recent theoretical and empirical advances, there is no definitive proof that generative mechanisms prevail in perception, and fundamental questions remain.
The ambitious aim of GenPercept is to establish the importance of generative processes in perception, characterise quantitatively their functional role, and describe their underlying neural mechanisms. With innovative psychophysical and pupillometry techniques, it will show how past perceptual experience is exploited to manage and mould sensory analysis of the present. With ultra-high field imaging, it will identify the underlying neural mechanisms in early sensory cortex. With EEG and custom psychophysics it will show how generative predictive mechanisms mediate perceptual continuity at the time of saccadic eye movements, and explore the innovative idea that neural oscillations reflect reverberations in the propagation of generative prediction and error signals. Finally, it will look at individual differences, particularly in autistic perception, where generative mechanisms show interesting atypicalities.
A full understanding of generative processes will lead to fundamental insights in understanding how we perceive and interact with the world, and how past perceptual experience influences what we perceive. The project is also of clinical relevance, as these systems are prone to dysfunction in several neuro-behavioural conditions, including autism spectrum disorder.
Max ERC Funding
2 480 969 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym NeuroCompSkill
Project A neuro-computational account of success and failure in acquiring communication skills
Researcher (PI) Merav Ahissar
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Call Details Advanced Grant (AdG), SH4, ERC-2018-ADG
Summary Why do most people acquire expertise with practice whereas others fail to master the same tasks? NeuroCompSkill offers a neuro-computational framework that explains failure in acquiring verbal and non-verbal communication skills. It focuses on individual ability of using task-relevant regularities, postulating that efficient use of such regularities is crucial for acquiring expertise. Specifically, it proposes that using stable temporal regularities, acquired across long time windows (> 3 sec to days) is crucial for the formation of linguistic (phonological, morphological and orthographic) skills. In contrast, fast updating of recent events (within ~ .3- 3 sec), is crucial for the formation of predictions in interactive, social communication. Based on this, I propose that individuals with difficulties in retaining regularities will have difficulties in verbal communication, whereas individuals with difficulties in fast updating will have difficulties in social non-verbal communications. Five inter-related work packages (WP) will test the predictions that: (WP1) behaviourally – individuals with language and reading difficulties will have impoverished categorical representations, whereas individuals with non-verbal difficulties will be slow in adapting to changed statistics. (WP2) developmentally – poor detection of relevant regularities will be an early marker of related difficulties. (WP3) computationally – profiles of impaired inference will match the predicted time window. (WP4) neuronally – dynamics of neural adaptation will match the dynamics of behavioural inference. (WP5) structurally – different brain structures will be associated with the different time windows of inference. NeuroCompSkill is ground-breaking in proposing a unifying, theory based, testable principle, which explains core difficulties in two prevalent developmental communication disorders. Its 5 WPs will lay the foundations of a comprehensive approach to failure in skill acquisition.
Summary
Why do most people acquire expertise with practice whereas others fail to master the same tasks? NeuroCompSkill offers a neuro-computational framework that explains failure in acquiring verbal and non-verbal communication skills. It focuses on individual ability of using task-relevant regularities, postulating that efficient use of such regularities is crucial for acquiring expertise. Specifically, it proposes that using stable temporal regularities, acquired across long time windows (> 3 sec to days) is crucial for the formation of linguistic (phonological, morphological and orthographic) skills. In contrast, fast updating of recent events (within ~ .3- 3 sec), is crucial for the formation of predictions in interactive, social communication. Based on this, I propose that individuals with difficulties in retaining regularities will have difficulties in verbal communication, whereas individuals with difficulties in fast updating will have difficulties in social non-verbal communications. Five inter-related work packages (WP) will test the predictions that: (WP1) behaviourally – individuals with language and reading difficulties will have impoverished categorical representations, whereas individuals with non-verbal difficulties will be slow in adapting to changed statistics. (WP2) developmentally – poor detection of relevant regularities will be an early marker of related difficulties. (WP3) computationally – profiles of impaired inference will match the predicted time window. (WP4) neuronally – dynamics of neural adaptation will match the dynamics of behavioural inference. (WP5) structurally – different brain structures will be associated with the different time windows of inference. NeuroCompSkill is ground-breaking in proposing a unifying, theory based, testable principle, which explains core difficulties in two prevalent developmental communication disorders. Its 5 WPs will lay the foundations of a comprehensive approach to failure in skill acquisition.
Max ERC Funding
2 499 888 €
Duration
Start date: 2019-08-01, End date: 2024-07-31
Project acronym NOAM
Project Navigation of a mind-space. The spatial organization of declarative knowledge
Researcher (PI) Roberto Bottini
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Call Details Starting Grant (StG), SH4, ERC-2018-STG
Summary "Your brain is among the most complex existing systems, and it processes every second an amazing amount of data. The most amazing thing, however, is that you get to know some of it.
Declarative knowledge, meaning the portion of knowledge that we can consciously access and manipulate, is one of the most enduring mysteries of the human mind. How did it evolve? And what are the mechanisms behind it? One possibility is that the complex neural machinery that mammals evolved to navigate space has been recycled to ""navigate"" declarative knowledge. Research from single cell recordings in rodents to brain imaging studies with humans is converging toward the fascinating hypothesis that conscious declarative knowledge is spatially organized, and can be stored, retrieved and manipulated through the same computations used to represent and navigate physical space. Crucially, this spatial scaffolding may be what makes knowledge accessible to us.
The time is mature for an integral and ambitious attempt to test and develop this innovative hypothesis. NOAM will be at the frontline of this endeavour relying upon cutting-edge neuroimaging and analysis techniques. In this project we will test the relationships between spatial and conceptual navigation asking whether people that navigate space in a different way (congenitally blind individuals) also navigate concepts in a different way. Then, we will explore how low-dimensional cognitive maps interact with multidimensional semantic information, and we will test whether the spatial organization is a trademark of conscious declarative knowledge or extends to unconscious conceptual processing. Finally we will adopt a translational approach to characterize the neural basis of pre-clinical Alzheimer Disease.
Thanks to its groundbreaking nature and high-risk/high-gain approach, NOAM has the potential to ensure major progresses in cognitive neuroscience, artificial intelligence and related fields, changing the way we think about the human mind"
Summary
"Your brain is among the most complex existing systems, and it processes every second an amazing amount of data. The most amazing thing, however, is that you get to know some of it.
Declarative knowledge, meaning the portion of knowledge that we can consciously access and manipulate, is one of the most enduring mysteries of the human mind. How did it evolve? And what are the mechanisms behind it? One possibility is that the complex neural machinery that mammals evolved to navigate space has been recycled to ""navigate"" declarative knowledge. Research from single cell recordings in rodents to brain imaging studies with humans is converging toward the fascinating hypothesis that conscious declarative knowledge is spatially organized, and can be stored, retrieved and manipulated through the same computations used to represent and navigate physical space. Crucially, this spatial scaffolding may be what makes knowledge accessible to us.
The time is mature for an integral and ambitious attempt to test and develop this innovative hypothesis. NOAM will be at the frontline of this endeavour relying upon cutting-edge neuroimaging and analysis techniques. In this project we will test the relationships between spatial and conceptual navigation asking whether people that navigate space in a different way (congenitally blind individuals) also navigate concepts in a different way. Then, we will explore how low-dimensional cognitive maps interact with multidimensional semantic information, and we will test whether the spatial organization is a trademark of conscious declarative knowledge or extends to unconscious conceptual processing. Finally we will adopt a translational approach to characterize the neural basis of pre-clinical Alzheimer Disease.
Thanks to its groundbreaking nature and high-risk/high-gain approach, NOAM has the potential to ensure major progresses in cognitive neuroscience, artificial intelligence and related fields, changing the way we think about the human mind"
Max ERC Funding
1 498 644 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym OPIOIDREWARD
Project How distress alters opioid drug effects and abuse liability
Researcher (PI) Siri LEKNES
Host Institution (HI) UNIVERSITETET I OSLO
Call Details Starting Grant (StG), SH4, ERC-2018-STG
Summary As the opioid epidemic escalates, we must ask: why are opioids so addictive? Non-human animal research links addiction with the powerful relief opioids can offer to animals in distress. In humans, epidemiological and clinical studies converge upon social stressors and a poor social support network as key risk factors for addiction. Despite this, it is currently unknown how pre-drug distress might alter opioid drug effects. Tremendous resources are dedicated to charting how people feel after taking a drug, sidestepping the potentially profound influence of how people feel before they take the drug. Here, I will turn the current approach on its head. Using acute social distress induction before morphine administration in healthy humans, I will create a human model to determine the psychological, physiological and brain underpinnings of how social stressors increase opioids’ abuse liability.
First, I will test the hypothesis that pre-drug distress enhances drug wanting (self-administration) but not drug liking (self-report) compared to drug effects in a control condition. Second, I will use opioid blockade to confirm or falsify the hypothesis that opioid drugs ‘hijack’ brain mechanisms underpinning social support. Third, I will determine to what extent opioid drug effects are dopamine-dependent by blocking dopamine before morphine administration. I will also apply computational modelling and functional imaging to elucidate the underlying brain mechanisms. Thus, the proposal offers a powerful new methodology for resolving hotly debated questions on the independent contributions of opioids and dopamine for reward and abuse liability.
In sum, the project aims to achieve a breakthrough in our understanding of how a pre-drug social distress state can alter opioid drug mechanisms. The mechanistic understanding arising from this project could have profound implications for science, as well as for clinical care and new policies designed to contain the opioid epidemic.
Summary
As the opioid epidemic escalates, we must ask: why are opioids so addictive? Non-human animal research links addiction with the powerful relief opioids can offer to animals in distress. In humans, epidemiological and clinical studies converge upon social stressors and a poor social support network as key risk factors for addiction. Despite this, it is currently unknown how pre-drug distress might alter opioid drug effects. Tremendous resources are dedicated to charting how people feel after taking a drug, sidestepping the potentially profound influence of how people feel before they take the drug. Here, I will turn the current approach on its head. Using acute social distress induction before morphine administration in healthy humans, I will create a human model to determine the psychological, physiological and brain underpinnings of how social stressors increase opioids’ abuse liability.
First, I will test the hypothesis that pre-drug distress enhances drug wanting (self-administration) but not drug liking (self-report) compared to drug effects in a control condition. Second, I will use opioid blockade to confirm or falsify the hypothesis that opioid drugs ‘hijack’ brain mechanisms underpinning social support. Third, I will determine to what extent opioid drug effects are dopamine-dependent by blocking dopamine before morphine administration. I will also apply computational modelling and functional imaging to elucidate the underlying brain mechanisms. Thus, the proposal offers a powerful new methodology for resolving hotly debated questions on the independent contributions of opioids and dopamine for reward and abuse liability.
In sum, the project aims to achieve a breakthrough in our understanding of how a pre-drug social distress state can alter opioid drug mechanisms. The mechanistic understanding arising from this project could have profound implications for science, as well as for clinical care and new policies designed to contain the opioid epidemic.
Max ERC Funding
1 500 000 €
Duration
Start date: 2019-07-01, End date: 2024-06-30
Project acronym PUPILTRAITS
Project Biomarkers of individual differences in human cortical visual processing
Researcher (PI) Paola BINDA
Host Institution (HI) UNIVERSITA DI PISA
Call Details Starting Grant (StG), SH4, ERC-2018-STG
Summary Vision is probably the best understood system of the human brain: studying vision has taught us much about the human mind and its complex processes. We know in detail the fundamental steps leading to visual perception, but we do not know why normally sighted people differ in how they perceive: why some “see the forest before the trees”, while others have a fragmented perceptual experience focused on local features. PUPILTRAITS aims to fill this gap by taking an innovative approach to vision science, to understand how vision is affected by physiological state and personality traits.
I will measure visual processing with both classic and new methods (that I helped develop), including pupil responses, ultra-high field Magnetic Resonance of human visual cortex, and psychophysics. Based on solid pilot data, I predict that differences in behavioral and cortical properties co-vary with personality traits, providing new reliable biomarkers of the local context-independent perception associated with autistics traits, even in young children (using pupillometry). These tools will also reveal changes of perception within individuals: during a safe and simple physiological intervention (ketosis, a metabolic state that can be naturally induced by fasting and intense physical activity), to show that early visual processing can be altered by acting on metabolism, and that this consequently affects holistic/local perceptual styles.
My aim is to provide new knowledge on the relationship between metabolism, cortical processing and perception. This has the potential for a strong societal impact: it can change our understanding of pervasive developmental disorders, like Autistic Spectrum Disorders, characterized by a different way of processing incoming information; it can aid their diagnosis through objective evaluation of perceptual styles, and encourage innovative therapeutic approaches aimed at changing perception and behavior by acting on general physiology: how we eat and exercise
Summary
Vision is probably the best understood system of the human brain: studying vision has taught us much about the human mind and its complex processes. We know in detail the fundamental steps leading to visual perception, but we do not know why normally sighted people differ in how they perceive: why some “see the forest before the trees”, while others have a fragmented perceptual experience focused on local features. PUPILTRAITS aims to fill this gap by taking an innovative approach to vision science, to understand how vision is affected by physiological state and personality traits.
I will measure visual processing with both classic and new methods (that I helped develop), including pupil responses, ultra-high field Magnetic Resonance of human visual cortex, and psychophysics. Based on solid pilot data, I predict that differences in behavioral and cortical properties co-vary with personality traits, providing new reliable biomarkers of the local context-independent perception associated with autistics traits, even in young children (using pupillometry). These tools will also reveal changes of perception within individuals: during a safe and simple physiological intervention (ketosis, a metabolic state that can be naturally induced by fasting and intense physical activity), to show that early visual processing can be altered by acting on metabolism, and that this consequently affects holistic/local perceptual styles.
My aim is to provide new knowledge on the relationship between metabolism, cortical processing and perception. This has the potential for a strong societal impact: it can change our understanding of pervasive developmental disorders, like Autistic Spectrum Disorders, characterized by a different way of processing incoming information; it can aid their diagnosis through objective evaluation of perceptual styles, and encourage innovative therapeutic approaches aimed at changing perception and behavior by acting on general physiology: how we eat and exercise
Max ERC Funding
1 490 375 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym SPANUMBRA
Project Number-space associations in the brain
Researcher (PI) Giorgio VALLORTIGARA
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Call Details Advanced Grant (AdG), SH4, ERC-2018-ADG
Summary Research in cognitive science has revealed that the temporal, spatial, and numerical features of a stimulus can interact with one another. An example is the tendency to map increasing numerical magnitudes with a left-to-right orientation. Numerical-spatial associations (NSA) are pervasive in human behaviour and have relevance to health (e.g., dyscalculia is thought to be related to improper understanding of the so-called «mental number line»). NSA have been shown to occur in human newborns and in non-human animals for non-symbolic numerousness. SPANUMBRA aims to investigate NSA in different animal models (domestic chicks, mice and zebrafish) and in human neonates and infants to provide a comprehensive and comparative perspective on the developmental, neural and genetic origins of this phenomenon. The project will be guided by a new hypothesis that links the direction of NSA to a differential role of the two sides of the brain to the perceived value (valence) of changes in magnitudes. The role of the experience (WP1) in the development of NSA will be investigated making use of early exposure to light in chicks’ embryos to modulate brain asymmetry, and controlled-rearing experiments in which newly-hatched chicks will be exposed to correlated and anti-correlated discrete and continuous magnitudes. Development of NSA will be also studied in human neonates and infants (WP2) before, during, and after the exposure to culture-specific NSA associations (numbers organized in spatially oriented layouts) to investigate the role of culture in shaping/reinforcing NSA. The study of the neural basis of the NSA (WP3) will combine neurobiological techniques (immediate early gene expression in chicks and zebrafish), and non-invasive methods (EEG and fNIRS in human neonates). The genetic bases of NSA (WP4) will be investigated using transgenic lines of zebrafish and mice, in order to understand the role of some genes implicated in the development of lateralization and in dyscalculia.
Summary
Research in cognitive science has revealed that the temporal, spatial, and numerical features of a stimulus can interact with one another. An example is the tendency to map increasing numerical magnitudes with a left-to-right orientation. Numerical-spatial associations (NSA) are pervasive in human behaviour and have relevance to health (e.g., dyscalculia is thought to be related to improper understanding of the so-called «mental number line»). NSA have been shown to occur in human newborns and in non-human animals for non-symbolic numerousness. SPANUMBRA aims to investigate NSA in different animal models (domestic chicks, mice and zebrafish) and in human neonates and infants to provide a comprehensive and comparative perspective on the developmental, neural and genetic origins of this phenomenon. The project will be guided by a new hypothesis that links the direction of NSA to a differential role of the two sides of the brain to the perceived value (valence) of changes in magnitudes. The role of the experience (WP1) in the development of NSA will be investigated making use of early exposure to light in chicks’ embryos to modulate brain asymmetry, and controlled-rearing experiments in which newly-hatched chicks will be exposed to correlated and anti-correlated discrete and continuous magnitudes. Development of NSA will be also studied in human neonates and infants (WP2) before, during, and after the exposure to culture-specific NSA associations (numbers organized in spatially oriented layouts) to investigate the role of culture in shaping/reinforcing NSA. The study of the neural basis of the NSA (WP3) will combine neurobiological techniques (immediate early gene expression in chicks and zebrafish), and non-invasive methods (EEG and fNIRS in human neonates). The genetic bases of NSA (WP4) will be investigated using transgenic lines of zebrafish and mice, in order to understand the role of some genes implicated in the development of lateralization and in dyscalculia.
Max ERC Funding
2 628 333 €
Duration
Start date: 2019-11-01, End date: 2024-10-31
Project acronym wHiSPER
Project investigating Human Shared PErception with Robots
Researcher (PI) Alessandra Sciutti
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Call Details Starting Grant (StG), SH4, ERC-2018-STG
Summary Perception is a complex process, where prior knowledge is incorporated into the current percept to help the brain cope with sensory uncertainty. A crucial question is how this mechanism changes during interaction, when the brain is faced with two conflicting goals: either optimizing individual perception by using internal priors, or maximizing perceptual alignment with the partner, by limiting the reliance on individual priors. wHiSPER proposes to study for the first time how visual perception of space and time is modified during interaction, by moving the investigation to an interactive shared context, where two agents dynamically influence each other. To allow for scrupulous and systematic control during interaction, wHiSPER will use a humanoid robot as a controllable interactive agent. The research will be articulated along five main objectives: i) determine how being involved in an interactive context influences perceptual inference; ii) assess how perceptual priors generalize to the observation of other’s actions; iii) understand whether and how individual perception aligns to others’ priors; iv) assess how is it possible to enable shared perception with a robot and v) determine whether perceptual inference during interaction is modified with aging, when lowered sensory acuity could increase priors relevance. To these aims wHiSPER will exploit rigorous psychophysical methods, Bayesian modeling and human-robot interaction, by adapting well-established paradigms in the study of visual perception to a novel interactive context. In several experiments the humanoid robot and the participants will be shown simple temporal or spatial perceptual stimuli that they will have to perceive either to reproduce them or to perform a coordinated joint action (as passing an object). The measures of the reproduced intervals and of the kinematics of the actions will allow to quantify through Bayesian modeling how social interaction influences visual perception.
Summary
Perception is a complex process, where prior knowledge is incorporated into the current percept to help the brain cope with sensory uncertainty. A crucial question is how this mechanism changes during interaction, when the brain is faced with two conflicting goals: either optimizing individual perception by using internal priors, or maximizing perceptual alignment with the partner, by limiting the reliance on individual priors. wHiSPER proposes to study for the first time how visual perception of space and time is modified during interaction, by moving the investigation to an interactive shared context, where two agents dynamically influence each other. To allow for scrupulous and systematic control during interaction, wHiSPER will use a humanoid robot as a controllable interactive agent. The research will be articulated along five main objectives: i) determine how being involved in an interactive context influences perceptual inference; ii) assess how perceptual priors generalize to the observation of other’s actions; iii) understand whether and how individual perception aligns to others’ priors; iv) assess how is it possible to enable shared perception with a robot and v) determine whether perceptual inference during interaction is modified with aging, when lowered sensory acuity could increase priors relevance. To these aims wHiSPER will exploit rigorous psychophysical methods, Bayesian modeling and human-robot interaction, by adapting well-established paradigms in the study of visual perception to a novel interactive context. In several experiments the humanoid robot and the participants will be shown simple temporal or spatial perceptual stimuli that they will have to perceive either to reproduce them or to perform a coordinated joint action (as passing an object). The measures of the reproduced intervals and of the kinematics of the actions will allow to quantify through Bayesian modeling how social interaction influences visual perception.
Max ERC Funding
1 749 375 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
