Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms

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From Surfactants to 3D Printing: How Ion-Chelator Pair Interactions Affect the Mechanical Properties of Bioinspired Materials

Gaia De Angelis

The remarkable adaptability observed in marine ecosystems has often inspired researchers when developing new soft materials. The research undertaken in this thesis explores how ion chelator pair interactions influence the mechanical properties of bioinspir ...

EPFL2024

Fast adaptation to rule switching using neuronal surprise

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In humans and animals, surprise is a physiological reaction to an unexpected event, but how surprise can be linked to plausible models of neuronal activity is an open problem. We propose a self-supervised spiking neural network model where a surprise signa ...

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Membrane specificity of the human cholesterol transfer protein STARD4

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STARD4 regulates cholesterol homeostasis by transferring cholesterol between the plasma membrane and endoplasmic reticulum. The STARD4 structure features a helix-grip fold surrounding a large hydrophobic cavity holding the sterol. Its access is controlled ...

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Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

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White adipose tissue distribution and amount are associated with increased white matter connectivity

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Obesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a ...

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Accessible and highly observable gastrointestinal organoid model systems for studying host-pathogen interactions

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Traditional cell cultures have long been fundamental to biological research, offering an alternative to animal models burdened by ethical constraints and procedural intricacies, often lacking relevance to human physiology and disease. Moreover, their inabi ...

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On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

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Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters grouped to model ...

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

Carl Petersen, Sylvain Crochet, Aurélie Pala, Taro Kiritani, Célia Roxane Gasselin

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 ...

PUBLIC LIBRARY SCIENCE2023

Striatal Dopamine Signals and Reward Learning

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We are constantly bombarded by sensory information and constantly making decisions on how to act. In order to optimally adapt behavior, we must judge which sequences of sensory inputs and actions lead to successful outcomes in specific circumstances. Neuro ...

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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 ...

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From Surfactants to 3D Printing: How Ion-Chelator Pair Interactions Affect the Mechanical Properties of Bioinspired Materials

Gaia De Angelis

EPFL2024