Project acronym ARS
Project Autonomous Robotic Surgery
Researcher (PI) Paolo FIORINI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI VERONA
Country Italy
Call Details Advanced Grant (AdG), PE7, ERC-2016-ADG
Summary The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.
Summary
The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.
Max ERC Funding
2 750 000 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym AXION
Project Axions: From Heaven to Earth
Researcher (PI) Frank Wilczek
Host Institution (HI) STOCKHOLMS UNIVERSITET
Country Sweden
Call Details Advanced Grant (AdG), PE2, ERC-2016-ADG
Summary Axions are hypothetical particles whose existence would solve two major problems: the strong P, T problem (a major blemish on the standard model); and the dark matter problem. It is a most important goal to either observe or rule out the existence of a cosmic axion background. It appears that decisive observations may be possible, but only after orchestrating insight from specialities ranging from quantum field theory and astrophysical modeling to ultra-low noise quantum measurement theory. Detailed predictions for the magnitude and structure of the cosmic axion background depend on cosmological and astrophysical modeling, which can be constrained by theoretical insight and numerical simulation. In parallel, we must optimize strategies for extracting accessible signals from that very weakly interacting source.
While the existence of axions as fundamental particles remains hypothetical, the equations governing how axions interact with electromagnetic fields also govern (with different parameters) how certain materials interact with electromagnetic fields. Thus those materials embody “emergent” axions. The equations have remarkable properties, which one can test in these materials, and possibly put to practical use.
Closely related to axions, mathematically, are anyons. Anyons are particle-like excitations that elude the familiar classification into bosons and fermions. Theoretical and numerical studies indicate that they are common emergent features of highly entangled states of matter in two dimensions. Recent work suggests the existence of states of matter, both natural and engineered, in which anyon dynamics is both important and experimentally accessible. Since the equations for anyons and axions are remarkably similar, and both have common, deep roots in symmetry and topology, it will be fruitful to consider them together.
Summary
Axions are hypothetical particles whose existence would solve two major problems: the strong P, T problem (a major blemish on the standard model); and the dark matter problem. It is a most important goal to either observe or rule out the existence of a cosmic axion background. It appears that decisive observations may be possible, but only after orchestrating insight from specialities ranging from quantum field theory and astrophysical modeling to ultra-low noise quantum measurement theory. Detailed predictions for the magnitude and structure of the cosmic axion background depend on cosmological and astrophysical modeling, which can be constrained by theoretical insight and numerical simulation. In parallel, we must optimize strategies for extracting accessible signals from that very weakly interacting source.
While the existence of axions as fundamental particles remains hypothetical, the equations governing how axions interact with electromagnetic fields also govern (with different parameters) how certain materials interact with electromagnetic fields. Thus those materials embody “emergent” axions. The equations have remarkable properties, which one can test in these materials, and possibly put to practical use.
Closely related to axions, mathematically, are anyons. Anyons are particle-like excitations that elude the familiar classification into bosons and fermions. Theoretical and numerical studies indicate that they are common emergent features of highly entangled states of matter in two dimensions. Recent work suggests the existence of states of matter, both natural and engineered, in which anyon dynamics is both important and experimentally accessible. Since the equations for anyons and axions are remarkably similar, and both have common, deep roots in symmetry and topology, it will be fruitful to consider them together.
Max ERC Funding
2 324 391 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BACKUP
Project Unveiling the relationship between brain connectivity and function by integrated photonics
Researcher (PI) Lorenzo PAVESI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Country Italy
Call Details Advanced Grant (AdG), PE7, ERC-2017-ADG
Summary I will address the fundamental question of which is the role of neuron activity and plasticity in information elaboration and storage in the brain. I, together with an interdisciplinary team, will develop a hybrid neuro-morphic computing platform. Integrated photonic circuits will be interfaced to both electronic circuits and neuronal circuits (in vitro experiments) to emulate brain functions and develop schemes able to supplement (backup) neuronal functions. The photonic network is based on massive reconfigurable matrices of nonlinear nodes formed by microring resonators, which enter in regime of self-pulsing and chaos by positive optical feedback. These networks resemble human brain. I will push this analogy further by interfacing the photonic network with neurons making hybrid network. By using optogenetics, I will control the synaptic strengthen-ing and the neuron activity. Deep learning algorithms will model the biological network functionality, initial-ly within a separate artificial network and, then, in an integrated hybrid artificial-biological network.
My project aims at:
1. Developing a photonic integrated reservoir-computing network (RCN);
2. Developing dynamic memories in photonic integrated circuits using RCN;
3. Developing hybrid interfaces between a neuronal network and a photonic integrated circuit;
4. Developing a hybrid electronic, photonic and biological network that computes jointly;
5. Addressing neuronal network activity by photonic RCN to simulate in vitro memory storage and retrieval;
6. Elaborating the signal from RCN and neuronal circuits in order to cope with plastic changes in pathologi-cal brain conditions such as amnesia and epilepsy.
The long-term vision is that hybrid neuromorphic photonic networks will (a) clarify the way brain thinks, (b) compute beyond von Neumann, and (c) control and supplement specific neuronal functions.
Summary
I will address the fundamental question of which is the role of neuron activity and plasticity in information elaboration and storage in the brain. I, together with an interdisciplinary team, will develop a hybrid neuro-morphic computing platform. Integrated photonic circuits will be interfaced to both electronic circuits and neuronal circuits (in vitro experiments) to emulate brain functions and develop schemes able to supplement (backup) neuronal functions. The photonic network is based on massive reconfigurable matrices of nonlinear nodes formed by microring resonators, which enter in regime of self-pulsing and chaos by positive optical feedback. These networks resemble human brain. I will push this analogy further by interfacing the photonic network with neurons making hybrid network. By using optogenetics, I will control the synaptic strengthen-ing and the neuron activity. Deep learning algorithms will model the biological network functionality, initial-ly within a separate artificial network and, then, in an integrated hybrid artificial-biological network.
My project aims at:
1. Developing a photonic integrated reservoir-computing network (RCN);
2. Developing dynamic memories in photonic integrated circuits using RCN;
3. Developing hybrid interfaces between a neuronal network and a photonic integrated circuit;
4. Developing a hybrid electronic, photonic and biological network that computes jointly;
5. Addressing neuronal network activity by photonic RCN to simulate in vitro memory storage and retrieval;
6. Elaborating the signal from RCN and neuronal circuits in order to cope with plastic changes in pathologi-cal brain conditions such as amnesia and epilepsy.
The long-term vision is that hybrid neuromorphic photonic networks will (a) clarify the way brain thinks, (b) compute beyond von Neumann, and (c) control and supplement specific neuronal functions.
Max ERC Funding
2 499 825 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym CAPABLE
Project Composite integrated photonic platform by femtosecond laser micromachining
Researcher (PI) Roberto OSELLAME
Host Institution (HI) CONSIGLIO NAZIONALE DELLE RICERCHE
Country Italy
Call Details Advanced Grant (AdG), PE7, ERC-2016-ADG
Summary The quantum technology revolution promises a transformational impact on the society and economics worldwide. It will enable breakthrough advancements in such diverse fields as secure communications, computing, metrology, and imaging. Quantum photonics, which recently received an incredible boost by the use of integrated optical circuits, is an excellent technological platform to enable such revolution, as it already plays a relevant role in many of the above applications. However, some major technical roadblocks needs to be overcome. Currently, the various components required for a complete quantum photonic system are produced on very different materials by dedicated fabrication technologies, as no single material is able to fulfil all the requirements for single-photon generation, manipulation, storage and detection. This project proposes a new hybrid approach for integrated quantum photonic systems based on femtosecond laser microfabrication (FLM), enabling the innovative miniaturization of various components on different materials, but with a single tool and with very favourable integration capabilities.
This project will mainly focus on two major breakthroughs: the first one will be increasing the complexity achievable in the photonic platform and demonstrating unprecedented quantum computation capability; the second one will be the integration in the platform of multiple single-photon quantum memories and their interconnection.
Achievement of these goals will only be possible by taking full advantage of the unique features of FLM, from the possibility to machine very different materials, to the 3D capabilities in waveguide writing and selective material removal.
The successful demonstration and functional validation of this hybrid, integrated photonic platform will represent a significant leap for photonic microsystems in quantum computing and quantum communications.
Summary
The quantum technology revolution promises a transformational impact on the society and economics worldwide. It will enable breakthrough advancements in such diverse fields as secure communications, computing, metrology, and imaging. Quantum photonics, which recently received an incredible boost by the use of integrated optical circuits, is an excellent technological platform to enable such revolution, as it already plays a relevant role in many of the above applications. However, some major technical roadblocks needs to be overcome. Currently, the various components required for a complete quantum photonic system are produced on very different materials by dedicated fabrication technologies, as no single material is able to fulfil all the requirements for single-photon generation, manipulation, storage and detection. This project proposes a new hybrid approach for integrated quantum photonic systems based on femtosecond laser microfabrication (FLM), enabling the innovative miniaturization of various components on different materials, but with a single tool and with very favourable integration capabilities.
This project will mainly focus on two major breakthroughs: the first one will be increasing the complexity achievable in the photonic platform and demonstrating unprecedented quantum computation capability; the second one will be the integration in the platform of multiple single-photon quantum memories and their interconnection.
Achievement of these goals will only be possible by taking full advantage of the unique features of FLM, from the possibility to machine very different materials, to the 3D capabilities in waveguide writing and selective material removal.
The successful demonstration and functional validation of this hybrid, integrated photonic platform will represent a significant leap for photonic microsystems in quantum computing and quantum communications.
Max ERC Funding
2 381 875 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym COPMAT
Project Full-scale COmputational design of Porous mesoscale MATerials
Researcher (PI) Sauro SUCCI
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Country Italy
Call Details Advanced Grant (AdG), PE8, ERC-2016-ADG
Summary The last decades have witnessed major progress in our understanding of the basic physics of soft matter materials. At the same time, microfluidics has also undergone spectacular theoretical and experimental progress. The confluence of such major advances spawns unprecedented opportunities for the design and manufacturing of new soft mesoscale materials, with promising applications in tissue engineering, photonics, catalysis and many others. COPMAT is targeted at making the most this opportunity through the pursuit of a single general goal: the full-scale simulation at nanometric resolution of micro-reactors for the design and synthesis of new tunable porous materials. In particular, we shall focus on the microfluidic design of: multi-jel materials, trabecular porous media and soft mesoscale molecules. We shall also explore new designs concepts based on unexplored microscale phenomena, such as the interaction between plasticity and nano-rugosity. The complex interplay between the highly non-linear rheology of soft materials and the major experimental control parameters leads to an engineering design of formidable complexity, characterized by a strong sensitivity of the macroscale material properties on the details of nanoscale interfacial interactions. COPMAT will tackle this formidable multiscale challenge through the deployment of an entirely new family of multiscale techniques, centered upon highly innovative extensions of the Lattice Boltzmann method and its combinations with Immersed Boundary Method, Dissipative Particle Dynamics and Dissipative Voronoi Dynamics. The success of COPMAT will be gauged by its capability of inspiring and realizing the design of microfluidic devices for the synthesis of novel families of porous materials for bio-engineering applications. The new paradigm established by COPMAT for the computational design of soft materials is expected to extend well beyond the time-horizon of the project.
Summary
The last decades have witnessed major progress in our understanding of the basic physics of soft matter materials. At the same time, microfluidics has also undergone spectacular theoretical and experimental progress. The confluence of such major advances spawns unprecedented opportunities for the design and manufacturing of new soft mesoscale materials, with promising applications in tissue engineering, photonics, catalysis and many others. COPMAT is targeted at making the most this opportunity through the pursuit of a single general goal: the full-scale simulation at nanometric resolution of micro-reactors for the design and synthesis of new tunable porous materials. In particular, we shall focus on the microfluidic design of: multi-jel materials, trabecular porous media and soft mesoscale molecules. We shall also explore new designs concepts based on unexplored microscale phenomena, such as the interaction between plasticity and nano-rugosity. The complex interplay between the highly non-linear rheology of soft materials and the major experimental control parameters leads to an engineering design of formidable complexity, characterized by a strong sensitivity of the macroscale material properties on the details of nanoscale interfacial interactions. COPMAT will tackle this formidable multiscale challenge through the deployment of an entirely new family of multiscale techniques, centered upon highly innovative extensions of the Lattice Boltzmann method and its combinations with Immersed Boundary Method, Dissipative Particle Dynamics and Dissipative Voronoi Dynamics. The success of COPMAT will be gauged by its capability of inspiring and realizing the design of microfluidic devices for the synthesis of novel families of porous materials for bio-engineering applications. The new paradigm established by COPMAT for the computational design of soft materials is expected to extend well beyond the time-horizon of the project.
Max ERC Funding
1 880 060 €
Duration
Start date: 2017-10-01, End date: 2023-03-31
Project acronym DEVOCEAN
Project Impact of diatom evolution on the oceans
Researcher (PI) Daniel CONLEY
Host Institution (HI) LUNDS UNIVERSITET
Country Sweden
Call Details Advanced Grant (AdG), PE10, ERC-2018-ADG
Summary Motivated by a series of recent discoveries, DEVOCEAN will provide the first comprehensive evaluation of the emergence of diatoms and their impact on the global biogeochemical cycle of silica, carbon and other nutrients that regulate ocean productivity and ultimately climate. I propose that the proliferation of phytoplankton that occurred after the Permian-Triassic extinction, in particular the diatoms, fundamentally influenced oceanic environments through the enhancement of carbon export to depth as part of the biological pump. Although molecular clocks suggest that diatoms evolved over 200 Ma ago, this result has been largely ignored because of the lack of diatoms in the geologic fossil record with most studies therefore focused on diversification during the Cenozoic where abundant diatom fossils are found. Much of the older fossil evidence has likely been destroyed by dissolution during diagenesis, subducted or is concealed deep within the Earth under many layers of rock. DEVOCEAN will provide evidence on diatom evolution and speciation in the geological record by examining formations representing locations in which diatoms are likely to have accumulated in ocean sediments. We will generate robust estimates of the timing and magnitude of dissolved Si drawdown following the origin of diatoms using the isotopic silicon composition of fossil sponge spicules and radiolarians. The project will also provide fundamental new insights into the timing of dissolved Si drawdown and other key events, which reorganized the distribution of carbon and nutrients in seawater, changing energy flows and productivity in the biological communities of the ancient oceans.
Summary
Motivated by a series of recent discoveries, DEVOCEAN will provide the first comprehensive evaluation of the emergence of diatoms and their impact on the global biogeochemical cycle of silica, carbon and other nutrients that regulate ocean productivity and ultimately climate. I propose that the proliferation of phytoplankton that occurred after the Permian-Triassic extinction, in particular the diatoms, fundamentally influenced oceanic environments through the enhancement of carbon export to depth as part of the biological pump. Although molecular clocks suggest that diatoms evolved over 200 Ma ago, this result has been largely ignored because of the lack of diatoms in the geologic fossil record with most studies therefore focused on diversification during the Cenozoic where abundant diatom fossils are found. Much of the older fossil evidence has likely been destroyed by dissolution during diagenesis, subducted or is concealed deep within the Earth under many layers of rock. DEVOCEAN will provide evidence on diatom evolution and speciation in the geological record by examining formations representing locations in which diatoms are likely to have accumulated in ocean sediments. We will generate robust estimates of the timing and magnitude of dissolved Si drawdown following the origin of diatoms using the isotopic silicon composition of fossil sponge spicules and radiolarians. The project will also provide fundamental new insights into the timing of dissolved Si drawdown and other key events, which reorganized the distribution of carbon and nutrients in seawater, changing energy flows and productivity in the biological communities of the ancient oceans.
Max ERC Funding
2 500 000 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym e-NeuroPharma
Project Electronic Neuropharmacology
Researcher (PI) Rolf Magnus BERGGREN
Host Institution (HI) LINKOPINGS UNIVERSITET
Country Sweden
Call Details Advanced Grant (AdG), PE5, ERC-2018-ADG
Summary As the population ages, neurodegenerative diseases (ND) will have a devastating impact on individuals and society. Despite enormous research efforts there is still no cure for these diseases, only care! The origin of ND is hugely complex, spanning from the molecular level to systemic processes, causing malfunctioning of signalling in the central nervous system (CNS). This signalling includes the coupled processing of biochemical and electrical signals, however current approaches for symptomatic- and disease modifying treatments are all based on biochemical approaches, alone.
Organic bioelectronics has arisen as a promising technology providing signal translation, as sensors and modulators, across the biology-technology interface; especially, it has proven unique in neuronal applications. There is great opportunity with organic bioelectronics since it can complement biochemical pharmacology to enable a twinned electric-biochemical therapy for ND and neurological disorders. However, this technology is traditionally manufactured on stand-alone substrates. Even though organic bioelectronics has been manufactured on flexible and soft carriers in the past, current technology consume space and volume, that when applied to CNS, rule out close proximity and amalgamation between the bioelectronics technology and CNS components – features that are needed in order to reach high therapeutic efficacy.
e-NeuroPharma includes development of innovative organic bioelectronics, that can be in-vivo-manufactured within the brain. The overall aim is to evaluate and develop electrodes, delivery devices and sensors that enable a twinned biochemical-electric therapy approach to combat ND and other neurological disorders. e-NeuroPharma will focus on the development of materials that can cross the blood-brain-barrier, that self-organize and -polymerize along CNS components, and that record and regulate relevant electrical, electrochemical and physical parameters relevant to ND and disorders
Summary
As the population ages, neurodegenerative diseases (ND) will have a devastating impact on individuals and society. Despite enormous research efforts there is still no cure for these diseases, only care! The origin of ND is hugely complex, spanning from the molecular level to systemic processes, causing malfunctioning of signalling in the central nervous system (CNS). This signalling includes the coupled processing of biochemical and electrical signals, however current approaches for symptomatic- and disease modifying treatments are all based on biochemical approaches, alone.
Organic bioelectronics has arisen as a promising technology providing signal translation, as sensors and modulators, across the biology-technology interface; especially, it has proven unique in neuronal applications. There is great opportunity with organic bioelectronics since it can complement biochemical pharmacology to enable a twinned electric-biochemical therapy for ND and neurological disorders. However, this technology is traditionally manufactured on stand-alone substrates. Even though organic bioelectronics has been manufactured on flexible and soft carriers in the past, current technology consume space and volume, that when applied to CNS, rule out close proximity and amalgamation between the bioelectronics technology and CNS components – features that are needed in order to reach high therapeutic efficacy.
e-NeuroPharma includes development of innovative organic bioelectronics, that can be in-vivo-manufactured within the brain. The overall aim is to evaluate and develop electrodes, delivery devices and sensors that enable a twinned biochemical-electric therapy approach to combat ND and other neurological disorders. e-NeuroPharma will focus on the development of materials that can cross the blood-brain-barrier, that self-organize and -polymerize along CNS components, and that record and regulate relevant electrical, electrochemical and physical parameters relevant to ND and disorders
Max ERC Funding
3 237 335 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym eHONESTY
Project Embodied Honesty in Real World and Digital Interactions
Researcher (PI) Salvatore Maria AGLIOTI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Country Italy
Call Details Advanced Grant (AdG), SH4, ERC-2017-ADG
Summary Every day, everywhere, people make unethical choices ranging from minor selfish lies to massive frauds, with dramatic individual and societal costs.
Embodied cognition theories posit that even seemingly abstract processes (like grammar) may be biased by the body-related signals used for building and maintaining self-consciousness, the fundamental experience of owning a body (ownership) and being the author of an action (agency), that is at the basis of self-other distinction.
Applying this framework to morality, we hypothesize that strengthening or weakening participants’ bodily self-consciousness towards virtual avatars or real others will influence dishonesty in real, virtual, and web-based interactions.
To test this hypothesis, we will measure:
i) individual dishonesty after modifying body ownership (e.g., by changing the appearance of the virtual body) and agency (e.g., by changing the temporal synchrony between participant’s and avatar’s actions) over an avatar through which decisions are made;
ii) intergroup dishonesty after inducing inter-individual sharing of body self-consciousness (e.g., blur self-other distinction via facial visuo-tactile stimulation);
iii) individual and intergroup dishonesty by manipulating exteroceptive (e.g., the external features of a virtual body) or interoceptive (e.g., changing the degree of synchronicity between participant’s and avatar/real person’s breathing rhythm) bodily inputs.
Dishonesty will be assessed through novel ecological tasks based on virtual reality and web-based interactions. Behavioural (e.g., subjective reports, kinematics), autonomic (e.g., heartbeat, thermal imaging) and brain (e.g., EEG, TMS, lesion analyses) measures of dishonesty will be recorded in healthy and clinical populations.
Our person-based, embodied approach to dishonesty complements cross-cultural, large-scale, societal investigations and may inspire new strategies for contrasting dishonesty and other unethical behaviours.
Summary
Every day, everywhere, people make unethical choices ranging from minor selfish lies to massive frauds, with dramatic individual and societal costs.
Embodied cognition theories posit that even seemingly abstract processes (like grammar) may be biased by the body-related signals used for building and maintaining self-consciousness, the fundamental experience of owning a body (ownership) and being the author of an action (agency), that is at the basis of self-other distinction.
Applying this framework to morality, we hypothesize that strengthening or weakening participants’ bodily self-consciousness towards virtual avatars or real others will influence dishonesty in real, virtual, and web-based interactions.
To test this hypothesis, we will measure:
i) individual dishonesty after modifying body ownership (e.g., by changing the appearance of the virtual body) and agency (e.g., by changing the temporal synchrony between participant’s and avatar’s actions) over an avatar through which decisions are made;
ii) intergroup dishonesty after inducing inter-individual sharing of body self-consciousness (e.g., blur self-other distinction via facial visuo-tactile stimulation);
iii) individual and intergroup dishonesty by manipulating exteroceptive (e.g., the external features of a virtual body) or interoceptive (e.g., changing the degree of synchronicity between participant’s and avatar/real person’s breathing rhythm) bodily inputs.
Dishonesty will be assessed through novel ecological tasks based on virtual reality and web-based interactions. Behavioural (e.g., subjective reports, kinematics), autonomic (e.g., heartbeat, thermal imaging) and brain (e.g., EEG, TMS, lesion analyses) measures of dishonesty will be recorded in healthy and clinical populations.
Our person-based, embodied approach to dishonesty complements cross-cultural, large-scale, societal investigations and may inspire new strategies for contrasting dishonesty and other unethical behaviours.
Max ERC Funding
2 497 188 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym GASP
Project GAs Stripping Phenomena in galaxies
Researcher (PI) Bianca Maria POGGIANTI
Host Institution (HI) ISTITUTO NAZIONALE DI ASTROFISICA
Country Italy
Call Details Advanced Grant (AdG), PE9, ERC-2018-ADG
Summary The build up of galaxies is mainly driven by the availability of gas that can cool and form new stars. Any physical process that is able to alter the gas content of a galaxy has therefore important consequences for its evolution. The study of processes that can remove gas from galaxies is the subject of GASP (GAs Stripping Phenomena in galaxies), an ESO Large Program I am leading. GASP has obtained integral field spectroscopy (IFS) with MUSE of 114 low-z galaxies with masses in the range 10^9-10^11.5 Msun, hosted in X-ray selected clusters, in groups and filaments. The GASP sample includes the largest existing IFS sample of so- called “jellyfish galaxies” that have long tails of ionised gas, as well as other galaxies in different stages of ram pressure stripping in clusters and galaxies undergoing gas disturbance due to various phenomena in groups and filaments. GASP has the unique capability to combine the power of spatially resolved observations covering galaxy disks, outskirts and surroundings with the virtues of a statistical study of a significant number of galaxies. The MUSE GASP dataset, combined with ALMA, APEX, JVLA, UVIT and HST follow-up programs, form the basis for this ERC program. The goal is to accomplish an unprecedented break-through in our understanding of jellyfish galaxies, ram pressure stripping, gas removal processes in different environments and their consequences for the stellar history of galaxies. This multi faced, coherent program will investigate the physics of the baryonic cycle between the various gas phases (ionised, molecular and neutral) and the star formation under extreme conditions, the connection between ram pressure and AGN activity, the quenching of galaxies undergoing gas removal phenomena, and the physics of such phenomena in clusters, groups and filaments. The GASP ERC program will be a game changer in this field of research: there is no previous similar study, nor there can be a comparable one for quite a long time.
Summary
The build up of galaxies is mainly driven by the availability of gas that can cool and form new stars. Any physical process that is able to alter the gas content of a galaxy has therefore important consequences for its evolution. The study of processes that can remove gas from galaxies is the subject of GASP (GAs Stripping Phenomena in galaxies), an ESO Large Program I am leading. GASP has obtained integral field spectroscopy (IFS) with MUSE of 114 low-z galaxies with masses in the range 10^9-10^11.5 Msun, hosted in X-ray selected clusters, in groups and filaments. The GASP sample includes the largest existing IFS sample of so- called “jellyfish galaxies” that have long tails of ionised gas, as well as other galaxies in different stages of ram pressure stripping in clusters and galaxies undergoing gas disturbance due to various phenomena in groups and filaments. GASP has the unique capability to combine the power of spatially resolved observations covering galaxy disks, outskirts and surroundings with the virtues of a statistical study of a significant number of galaxies. The MUSE GASP dataset, combined with ALMA, APEX, JVLA, UVIT and HST follow-up programs, form the basis for this ERC program. The goal is to accomplish an unprecedented break-through in our understanding of jellyfish galaxies, ram pressure stripping, gas removal processes in different environments and their consequences for the stellar history of galaxies. This multi faced, coherent program will investigate the physics of the baryonic cycle between the various gas phases (ionised, molecular and neutral) and the star formation under extreme conditions, the connection between ram pressure and AGN activity, the quenching of galaxies undergoing gas removal phenomena, and the physics of such phenomena in clusters, groups and filaments. The GASP ERC program will be a game changer in this field of research: there is no previous similar study, nor there can be a comparable one for quite a long time.
Max ERC Funding
2 498 238 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym GenPercept
Project Spatio-temporal mechanisms of generative perception
Researcher (PI) David BURR
Host Institution (HI) UNIVERSITA DEGLI STUDI DI FIRENZE
Country Italy
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
