Publication
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Publications associées (90)
Principles of Network Plasticity in Neocortical Microcircuits
Synaptic plasticity underlies our ability to learn and adapt to the constantly changing environment. The phenomenon of synapses changing their efficacy in an activity-dependent manner is often studied in small groups of neurons in vitro or indirectly throu ...
EPFL2023Cortical cell assemblies and their underlying connectivity: an in silico study
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Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblies rema ...
2023Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity
Tilo Schwalger, Valentin Marc Schmutz
Bottom-up models of functionally relevant patterns of neural activity provide an explicit link between neuronal dynamics and computation. A prime example of functional activity patterns are propagating bursts of place-cell activities called hippocampal rep ...
PUBLIC LIBRARY SCIENCE2022Data-driven whole mouse brain modeling for multi-scale simulations
In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point-neuron models of the whole mouse brain. The ultimate goal is to replicate close loop experiments with a virtual body in a virtual world. This pipeline was ...
EPFL2022Taming neuronal noise with large networks
How does reliable computation emerge from networks of noisy neurons? While individual neurons are intrinsically noisy, the collective dynamics of populations of neurons taken as a whole can be almost deterministic, supporting the hypothesis that, in the br ...
EPFL2022A conditional GABAergic synaptic vesicle marker for Drosophila
Background: Throughout the animal kingdom, GABA is the principal inhibitory neurotransmitter of the nervous system. It is essential for maintaining the homeostatic balance between excitation and inhibition required for the brain to operate normally. Identi ...
2022Clustering and control for adaptation uncovers time-warped spike time patterns in cortical networks in vivo
How information in the nervous system is encoded by patterns of action potentials (i.e. spikes) remains an open question. Multi-neuron patterns of single spikes are a prime candidate for spike time encoding but their temporal variability requires further c ...
2021Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity
Wulfram Gerstner, Tilo Schwalger, Valentin Marc Schmutz
Coarse-graining microscopic models of biological neural networks to obtain mesoscopic models of neural activities is an essential step towards multi-scale models of the brain. Here, we extend a recent theory for mesoscopic population dynamics with static s ...
2020Ultrasound Stimulations Induce Prolonged Depolarization and Fast Action Potentials in Leech Neurons
Silvestro Micera, Théo Lemaire
Objective: Ultrasound (US) stimulation carries the promise of a selective, reversible, and non-invasive modulation of neural activity without the need for genetic manipulation of neural structures. However, the mechanisms of US-induced generation of action ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020Cortical reliability amid noise and chaos
Henry Markram, Eilif Benjamin Muller, Michael Reimann, James Gonzalo King, Max Christian Nolte
Typical responses of cortical neurons to identical sensory stimuli appear highly variable. It has thus been proposed that the cortex primarily uses a rate code. However, other studies have argued for spike-time coding under certain conditions. The potentia ...
2019