ERC FUNDED PROJECTS

A great deal is known about the neural basis of associative fear learning. However, many animal species are able to use social cues to recognize threats, a defence mechanism that may be less costly than learning from self-experience. We have previously shown that rats perceive the cessation of movement-evoked sound as a signal of danger and its resumption as a signal of safety. To study transmission of fear between rats we assessed the behavior of an observer while witnessing a demonstrator rat display fear responses. With this paradigm we will take advantage of the accumulated knowledge on learned fear to investigate the neural mechanisms by which the social environment regulates defense behaviors. We will unravel the neural circuits involved in detecting the transition from movement-evoked sound to silence. Moreover, since observer rats previously exposed to shock display observational freezing, but naive observer rats do not, we will determine the mechanism by which prior experience contribute to observational freezing. To this end, we will focus on the amygdala, crucial for fear learning and expression, and its auditory inputs, combining immunohistochemistry, pharmacology and optogenetics. Finally, as the detection of and responses to threat are often inherently social, we will study these behaviors in the context of large groups of individuals. To circumvent the serious limitations in using large populations of rats, we will resort to a different model system. The fruit fly is the ideal model system, as it is both amenable to the search for the neural mechanism of behavior, while at the same time allowing the study of the behavior of large groups of individuals. We will develop behavioral tasks, where conditioned demonstrator flies signal danger to other naïve ones. These experiments unravel how the brain uses defense behaviors as signals of danger and how it contributes to defense mechanisms at the population level.

1 412 376 €

Start date: 2013-12-01, End date: 2018-11-30

The objective of this project is to quantify the role of consumers’ behaviour on the design and assessment of policies aimed at enhancing energy efficiency and conservation and at promoting climate change mitigation. The project brings together different disciplines –namely energy policy, environmental and ecological economics, behavioral public finance, experimental economics, and technology policy- in an integrated fashion. COBHAM is designed to go beyond the standard analysis of energy and climate policies in the presence of environmental externalities, by accounting for the heterogeneity in consumers’ preferences, the role of social interactions, and the presence of behavioral tendencies and biases. The project seeks to: i) carry out innovative research in the theoretical understanding of the interplay between behavioral tendencies and environmental externalities; ii) generate new empirical data and research on individual preferences by means of original surveys and controlled experiments; iii) enhance integrated assessment models (IAMs) of economy, energy and climate with an advanced representation of consumers’ behavior. In doing so, the project will be able to provide a richer characterization of energy demand and of greenhouse gas emission scenarios, to better estimate consumers’ responsiveness to energy and climate policies, and to provide input to the design of new policy instruments aimed at influencing energy and environmental sustainable behavior. COBHAM is of high public policy relevance given Europe’s legislation on energy efficiency and CO2 emissions, and can provide important insights also outside the sphere of energy and climate policymaking.

1 451 840 €

Start date: 2014-08-01, End date: 2019-07-31

Mathematical models of choice behaviour are used to understand consumer decisions and valuations and forecast choices across a range of topic areas, including transport and regional science. Their outputs form a key component in guidance underpinning government and industry decisions on changes to policy, infrastructure developments or the introduction of new services or products. Given the significant financial, environmental and societal implications of such decisions, model accuracy is crucial. Current models however, while powerful and flexible, still present a highly abstract representation of consumer decisions. This project aims to develop a new framework which realigns modelled behaviour with real world behaviour, jointly representing the choice of multiple options or products and the quantity of consumption for each of these. In contrast with existing work, these choices will be placed within a wider framework, incorporating links between long term decisions and day to day choices, accounting for the growing importance of virtual social networks and the role of joint decisions. The work will ensure consistency with economic theory and in particular deal with the formation and role of budgets and constraints. While many developments will take place within the random utility framework, the project will also operationalize alternative theories of behaviour, such as non-compensatory decision rules from mathematical psychology. To ensure the transition of methodological developments into practice, I will test the models and illustrate their advantages in a large scale application studying the relationship between long term decisions and short term energy consumption. I will ensure that the models can produce output suitable for economic analysis and will develop free estimation software. The research promises a step change in model flexibility and realism with impacts across a number of academic disciplines as well as real world benefits to society as a whole.

1 873 288 €

Start date: 2014-07-01, End date: 2020-06-30

Kainate receptors (KARs) are often regarded as the last frontier of glutamate receptor research, since much less is known about their physiological roles compared with that of the other glutamate receptor subtypes. This field of research is very important not just because of the unique role that KARs play in neuronal function, including specific forms of synaptic plasticity, but because of the increasing evidence that KARs are involved in a plethora of brain diseases and that KAR antagonists are promising novel therapeutic targets. I propose to lead a highly multidisciplinary approach, in collaboration with colleagues at Bristol and strategic collaborators worldwide, to develop novel pharmacological and genetic tools, which will be rapidly disseminated to the neuroscience community. These tools will be used here to test hypotheses regarding functions of KARs in granule cells (GCs) in the dentate gyrus of the hippocampal formation, with a focus on mossy fibre long-term potentiation (LTP). We propose four interrelated objectives: (i) to develop potent and selective antagonists for the GluK2 subunit of KARs, (ii) to generate GC specific knockouts of the five KAR subunits, by floxing GluK1-5 and crossing with a GC-specific Cre recombinase mouse line, (iii) to use these and existing tools in a combined pharmacological and genetic approach, to understand the functions of KARs at mossy fibre synapses in acute and organotypic hippocampal slices. A new development will be to record simultaneously from synaptically coupled GC-CA3 neuronal pairs and to image Ca2+ from participating mossy fibre boutons, (iv) to extend these investigations to the study of mossy fibre function, in particular LTP, in anaesthetised animals and to establish the function of mossy fibre LTP in hippocampus-dependent learning and memory. Although highly ambitious, the proposal is based on a long track record of KAR research by the PI and his collaborators plus a substantial amount of preliminary data.

2 500 000 €

Start date: 2014-02-01, End date: 2019-01-31