Publication
Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies
Publications associées (39)
Data-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 ...
EPFL2022HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data
Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Armando Romani, Szabolcs Kali, Carmen Alina Lupascu, Rosanna Migliore, Luca Leonardo Bologna, Sàra Sàray, Shailesh Appukuttan
Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophys ...
PUBLIC LIBRARY SCIENCE2021When shared concept cells support associations: Theory of overlapping memory engrams
Wulfram Gerstner, Emanuela De Falco, Tilo Schwalger, Chiara Gastaldi
Assemblies of neurons, called concepts cells, encode acquired concepts in human Medial Temporal Lobe. Those concept cells that are shared between two assemblies have been hypothesized to encode associations between concepts. Here we test this hypothesis in ...
2021How single neuron properties shape chaotic dynamics and signal transmission in random neural networks
Wulfram Gerstner, Tilo Schwalger, Samuel Pavio Muscinelli
While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and recurr ...
2019Data-driven reconstruction of a point neuron mouse brain
In this work, we present a semi-automatic method to reconstruct a mouse whole-brain model at the point-neuron level by integrating a wide array of biological data. Our process has three parts: cell position and type assignment, connectivity mapping, and si ...
EPFL2018In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry
Marwan Muhammad Ahmed Abdellah
The recent years have witnessed growing interest in the power of scientific visualization for simulation-based neuroscience. The research presented in this thesis develops methods to generate physically-realistic visualizations of neocortical models recons ...
EPFL2017Artificial spatiotemporal touch inputs reveal complementary decoding in neocortical neurons
Investigations of the mechanisms of touch perception and decoding has been hampered by difficulties in achieving invariant patterns of skin sensor activation. To obtain reproducible spatiotemporal patterns of activation of sensory afferents, we used an art ...
Nature Publishing Group2017Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
Wulfram Gerstner, Tilo Schwalger, Moritz Deger
Neural population equations such as neural mass or field models are widely used to study brain activity on a large scale. However, the relation of these models to the properties of single neurons is unclear. Here we derive an equation for several interacti ...
Public Library of Science2017Reconstructing Personalized Anatomical Models for Physics-based Body Animation
Ladislav Kavan, Alexandru Eugen Ichim
We present a method to create personalized anatomical models ready for physics-based animation, using only a set of 3D surface scans. We start by building a template anatomical model of an average male which supports deformations due to both 1) subject-spe ...
Assoc Computing Machinery2016Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron
Henry Markram, Srikanth Ramaswamy
The thick-tufted layer 5 (TTL5) pyramidal neuron is one of the most extensively studied neuron types in the mammalian neocortex and has become a benchmark for understanding information processing in excitatory neurons. By virtue of having the widest local ...
Frontiers Research Foundation2015