Tousif will investigate transcriptomic and proteomic networks in the neuron, and how these network relate to experience-dependent plasticity, i.e. change in neuronal structure upon sensory input. This includes developing statistical methods for molecular target identification, and comparison of connectivity in …
I will investigate the role of different types of inhibitory interneurons in visual cortex plasticity by implementing a computational model of the V1 L2/3 network. The network will consist of morphologically reduced multicompartmental neurons with active dendrites. Synaptic connections between these neurons …
Simone will create a DG-CA3-CA1 hippocampal network computational model to assess the role of dendritic nonlinearities on both the memory capacity and the structure of the resulting networks, following contextual and spatial learning.
I will investigate the relationship between the connectivity structures and the dynamics in neural circuits, by considering the spike-time-dependent synaptic plasticity – which describes the change of synaptic strengths based on spike times and their correlations. By using both analytical …
I’ll perform brain-scale calcium imaging experiments on Danionella translucida, an emerging model species in neuroscience. The goal of my project is to study the neural circuits responsible for spontaneous locomotor activity and their evolution across different developmental stages.
PI: Georges Debrégeas
August studies spatial decision-making in individual animals and groups of animals. Thereby, he uses behavioural experiments and computational modelling to understand how spatiotemporal information is represented in the brain and how it is processed during decision-making. And further how this decision-making …
Tanguy is simulating brain morphogenesis to understand how complex behavior at birth like walking for quadrupeds mammals or imprinting can occur. This simulation of simple interactions of neurons during embryogenesis can then help finding RNN architecture that fit specifics task.
There are 13 PhD students across 5 countries and 6 institutes working to understand biological network computations.