Eilif Benjamin Muller

The paper creates a detailed computational model of rat somatosensory cortex anatomy, including 4.2 million neurons and 14.2 billion synapses, and identifies limitations in connectivity prediction from morphology.

The paper presents a large-scale biophysically detailed model of somatosensory cortex to simulate and validate cortical dynamics and experimental results.

The paper uses simulations to study how synaptic plasticity interacts with network structure and dendritic organization to shape cortical microcircuit function and learning.

The paper presents a full-scale in silico model of rat hippocampal CA1 integrating diverse experimental data and validates it through simulations of theta rhythm and other experiments.

The paper analyzes inhibition and excitation in a cortical connectome, finding that inhibition is structured through specific connections in large neuron motifs, not just pairwise interactions.

This study shows that incorporating top-down feedback in neural networks mimics human brain architecture and introduces a visual bias in audiovisual tasks without impairing performance.

The paper proposes a calcium-based plasticity model that predicts LTP and LTD dynamics across multiple pyramidal connections in the neocortex.

HippoUnit provides an open-source Python test suite to systematically compare and evaluate detailed models of rat hippocampal CA1 pyramidal neurons against electrophysiological data.

The paper uses a biologically-detailed in-silico model of a neocortical microcircuit to study stimulus-specific adaptation in the auditory cortex and identifies key mechanisms underlying the response to surprising sensory inputs.

The paper introduces the SONATA data format to efficiently describe large-scale network models in neuroscience, enabling model construction, simulation, and sharing.

The paper develops an in silico model of voltage-sensitive dye imaging to show that VSDI signals reflect inhibitory responses to ongoing excitatory dynamics in rodent neocortical circuits.

The paper estimates the size of the readily-releasable vesicle pool (NRRP) at synaptic connections in the neocortex, finding values between two to three for L5-TTPC connections and suggesting multi-vesicular release is common.

The paper builds a statistical model of the mouse whole-neocortex micro-connectome using region-to-region connectivity and axon reconstructions, revealing a novel targeting principle for predicting individual axon innervation.

The paper quantifies intrinsic variability in cortical circuits and shows that recurrent connectivity enables millisecond spike-time reliability despite noise and chaos.

This paper integrates existing knowledge on rodent hippocampal CA1 synaptic anatomy and physiology into a coherent in silico resource.

This study shows how timed synaptic inhibition modifies NMDA spikes in dendrites, affecting calcium currents and synaptic plasticity.