Publications related to Biological neuron model

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

Michael Reimann, András Ecker, Sirio Bolaños Puchet, James Bryden Isbister, Daniela Egas Santander

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 ...

2024

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Silvestro Micera, Daniela De Luca

Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Subcortical correlates of consciousness with human single neuron recordings

Olaf Blanke, Fosco Bernasconi, Nathan Quentin Faivre, Michael Eric Anthony Pereira

Subcortical brain structures such as the basal ganglia or the thalamus are involved in regulating motor and cognitive behavior. However, their contribution to perceptual consciousness is still unclear, due to the inherent difficulties of recording subcorti ...

2024

Non-invasive neuromodulation of the right temporoparietal junction using theta-burst stimulation in functional neurological disorder

Serafeim Loukas

Background Disrupted sense of agency (SoA)-the sense of being the agent of one's own actions-has been demonstrated in patients with functional neurological disorder (FND), and a key area of the corresponding neuronal network is the right temporoparietal ju ...

London2024

On a Finite-Size Neuronal Population Equation

Tilo Schwalger, Valentin Marc Schmutz, Eva Löcherbach

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 ...

SIAM PUBLICATIONS2023

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Henry Markram, Werner Alfons Hilda Van Geit, Lida Kanari, Alexis Arnaudon, Maria Reva, Mickael Maurice Zbili

Variability is a universal feature among biological units such as neuronal cells as they enable a robust encoding of a high volume of information in neuronal circuits and prevent hyper synchronizations such as epileptic seizures. While most computational s ...

2023

Of mice and men: Increased dendritic complexity gives rise to unique human networks

Henry Markram, Kathryn Hess Bellwald, Lida Kanari, Alexis Arnaudon, Ying Shi, Jay Coggan, Natali Barros Zulaica, Idan Segev, Ruth Benavides Piccione

The organizational principles that distinguish the human brain from those of other species have been a long-standing enigma in neuroscience. Here, we leverage advances in algebraic topology to uncover the structural properties of the human brain at subcell ...

bioRxiv2023

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

Michael Reimann, András Ecker, Sirio Bolaños Puchet, James Bryden Isbister, Daniela Egas Santander

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 ...

2023

Principles of Network Plasticity in Neocortical Microcircuits

András Ecker

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 ...

EPFL2023

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

Silvestro Micera, Simone Romeni, Elena Losanno, Luca Pierantoni

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 ...

IOP Publishing Ltd2023

Biological neuron model

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

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Subcortical correlates of consciousness with human single neuron recordings

Non-invasive neuromodulation of the right temporoparietal junction using theta-burst stimulation in functional neurological disorder

On a Finite-Size Neuronal Population Equation

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Of mice and men: Increased dendritic complexity gives rise to unique human networks

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

Principles of Network Plasticity in Neocortical Microcircuits

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

Graph Chatbot

Chat with Graph Search

Subcortical correlates of consciousness with human single neuron recordings

On a Finite-Size Neuronal Population Equation

Of mice and men: Increased dendritic complexity gives rise to unique human networks

Principles of Network Plasticity in Neocortical Microcircuits

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