A neuron membrane mesh representation for visualization of electrophysiological simulations

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We derived computationally efficient average response models of different types of cortical neurons, which are subject to external electric fields from Transcranial Magnetic Stimulation. We used 24 reconstructions of pyramidal cells (PC) from layer 2/3, 24 ...

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 ...

Region extraction is a very common task in both Computer Science and Engineering with several applications in object recognition and motion analysis, among others. Most of the literature focuses on regions delimited by straight lines, often in the special ...

The fundamental role of any neuron within a network is to transform complex spatiotemporal synaptic input patterns into individual output spikes. These spikes, in turn, act as inputs for other neurons in the network. Neurons must execute this function acro ...

Population equations for infinitely large networks of spiking neurons have a long tradition in theoret-ical neuroscience. In this work, we analyze a recent generalization of these equations to populations of finite size, which takes the form of a nonlinear ...

Mesh manipulation is central to computational fluid dynamics. However, creating appropriate computational meshes often involves substantial manual intervention that has to be repeated each time the target shape changes. To address this problem, we propose ...

Neocortical neurons can increasingly be divided into well-defined classes, but their activity patterns during quantified behavior remain to be fully determined. Here, we obtained membrane potential recordings from various classes of excitatory and inhibito ...

Over the course of a lifetime, the human brain acquires an astonishing amount of semantic knowledge and autobiographical memories, often with an imprinting strong enough to allow detailed information to be recalled many years after the initial learning exp ...

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon ...

The premotor (PM) and primary motor (M1) cortical areas broadcast voluntary motor commands through multiple neuronal pathways, including the corticorubral projection that reaches the red nucleus (RN). However, the respective contribution of M1 and PM to co ...

A neuron membrane mesh representation for visualization of electrophysiological simulations

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Directional sensitivity of cortical neurons towards TMS induced electric fields

Cortical cell assemblies and their underlying connectivity: an in silico study

Region Extraction in Mesh Intersection

Different responses of mice and rats hippocampus CA1 pyramidal neurons to in vitro and in vivo-like inputs

On a Finite-Size Neuronal Population Equation

Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing

A theory of memory consolidation and synaptic pruning in cortical circuits

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Loss of Motor Cortical Inputs to the Red Nucleus after CNS Disorders in Nonhuman Primates