Obiettivo Understanding the neuronal basis of behaviour is a central quest for neuroscience. Neurons are the fundamental units of computation in the brain. Thus, any attempt at unravelling the relationship of neural networks activity and behaviour must be based on an understanding of the transformation of inputs to outputs in single neurons. One of the greatest challenges that our field faces is to make sense of inputs. Without knowing how different synaptic inputs are engaged during behaviour, it is impossible to decode the neuronal input to output conversion. We have developed an approach that allows both the dissection of inputs and the prediction of output during behaviour. We will apply this functional decoding approach to pyramidal neurons in the dorsal subiculum. These neurons form a hippocampal-neocortical interface and are important for memory-guided navigation. The output of subicular neurons contains a dense, distributed representation of space, but the functional input diversity is unresolved. Following the generation of a spatial tuning map during navigational tasks with two-photon Ca2+ imaging at cellular-resolution, we will map the input origins of individual neurons by using targeted single-cell initiated mono-transsynaptic tracing. Then, we will dissect the function of the input from different origins by chemogenetic silencing of input synapses. As a central component of the project, we will map dendritic input patterns in navigating mice with two-photon imaging of Ca2+ transients on dendritic spines. These patterns will be incorporated into a data-driven biophysical model capable of converting realistic synaptic inputs into output. We will tune the model parameters using whole-cell patch-clamp recordings during free behaviour. The final models will be capable of predicting the membrane potential of subicular neurons from precise behavioural observations, offering exciting new perspectives for network analysis and neuroengineering. Campo scientifico natural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Parole chiave dendritic computation synaptic integration neural computation connectivity neuronal networks patch-clamp recordings two-photon imaging hippocampal activity behavior in-vivo Programma(i) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Argomento(i) ERC-2016-COG - ERC Consolidator Grant Invito a presentare proposte ERC-2016-COG Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-COG - Consolidator Grant Istituzione ospitante LEIBNIZ-INSTITUT FUER NEUROBIOLOGIE Contribution nette de l'UE € 482 906,19 Indirizzo BRENNECKESTRASSE 6 39118 Magdeburg Germania Mostra sulla mappa Regione Sachsen-Anhalt Sachsen-Anhalt Magdeburg, Kreisfreie Stadt Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 482 906,19 Beneficiari (2) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto LEIBNIZ-INSTITUT FUER NEUROBIOLOGIE Germania Contribution nette de l'UE € 482 906,19 Indirizzo BRENNECKESTRASSE 6 39118 Magdeburg Mostra sulla mappa Regione Sachsen-Anhalt Sachsen-Anhalt Magdeburg, Kreisfreie Stadt Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 482 906,19 DEUTSCHES ZENTRUM FUR NEURODEGENERATIVE ERKRANKUNGEN EV Germania Contribution nette de l'UE € 1 323 161,81 Indirizzo VENUSBERG-CAMPUS 1/99 53127 Bonn Mostra sulla mappa Regione Nordrhein-Westfalen Köln Bonn, Kreisfreie Stadt Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 323 161,81
