Akke Mats Houben

Reorganization of Burst Initiation Zones as a Signature of Stimulation-Induced Plasticity in In Vitro Cortical Networks

Mikel Ocio-Moliner, Anna-Christina Haeb, Akke Mats Houben, Daniel Tornero et autres

The dynamics of the initiation and propagation of these bursts are believed to depend on the structural connectivity of the neuronal network. Specifically, the spatial loci of burst initiation, referred to as initiation zones (IZs), are shaped by a complex interplay between …

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Reservoir computing in simulated neuronal cultures: Effect of network structure

Akke Mats Houben, Anna-Christina Haeb, J Garcia-Ojalvo, Jordi Soriano

Biological neurons are emerging as attractive candidates for artificial intelligence and machine learning applications given their natural energy efficiency and self-repair capacity. However, they differ from their idealized artificial counterparts. Biological neurons have highly variable and noisy dynamics and display intrinsic spontaneous …

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Role of connectivity anisotropies in the dynamics of cultured neuronal networks

Akke Mats Houben, Jordi García‐Ojalvo, Jordi Soriano

An inherent challenge in designing laboratory-grown, engineered living neuronal networks lies in predicting the dynamic repertoire of the resulting network and its sensitivity to experimental variables. To fill this gap, and inspired by recent experimental studies, we present a numerical model designed …

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Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modeling in vitro neurons

Takuma Sumi, Akke Mats Houben, Hideaki Yamamoto, Hideyuki Kato et autres

Impaired brain function is restored following injury through dynamic processes that involve synaptic plasticity. This restoration is supported by the brain’s inherent modular organization, which promotes functional separation and redundancy. However, it remains unclear how modular structure interacts with synaptic plasticity to …

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Amplitude equations of associative memory patterns in spatially distributed systems

Akke Mats Houben

Evolution equations are derived for the amplitudes of associative memories: heterogeneous states stored in the connectivity of distributed systems with non-local interactions. The resulting coupled amplitude equations describe the spatio-temporal dynamics of memory recall. They capture pattern completion and selection, and show …

Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modeling in vitro neurons

Takuma Sumi, Akke Mats Houben, Hideaki Yamamoto, Hideyuki Kato et autres

Abstract Impaired brain function is restored following injury through dynamic processes that involve synaptic plasticity. This restoration is supported by the brain’s inherent modular organization, which promotes functional separation and redundancy. However, it remains unclear how the modular structure interacts with synaptic …

jp, es (code pays fourni par la source)

Role of connectivity anisotropies in the dynamics of cultured neuronal networks

Akke Mats Houben, Jordi García‐Ojalvo, Jordi Soriano

Laboratory-grown, engineered living neuronal networks in vitro have emerged in the last years as an experimental technique to understand the collective behavior of neuronal assemblies in relation to their underlying connectivity. An inherent obstacle in the design of such engineered systems is …

Inferring structure of cortical neuronal networks from activity data: A statistical physics approach

Ho Fai Po, Akke Mats Houben, Anna-Christina Haeb, David Rhys Jenkins et autres

Understanding the relation between cortical neuronal network structure and neuronal activity is a fundamental unresolved question in neuroscience, with implications to our understanding of the mechanism by which neuronal networks evolve over time, spontaneously or under stimulation. It requires a method for …

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Integrated information decomposition unveils major structural traits of in silico and in vitro neuronal networks

Gustavo Menesse, Akke Mats Houben, Jordi Soriano, Joaquı́n J. Torres

The properties of complex networked systems arise from the interplay between the dynamics of their elements and the underlying topology. Thus, to understand their behavior, it is crucial to convene as much information as possible about their topological organization. However, in large …

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Inferring Structure of Cortical Neuronal Networks from Firing Data: A Statistical Physics Approach

Ho Fai Po, Akke Mats Houben, Anna-Christina Haeb, David Rhys Jenkins et autres

Understanding the relation between cortical neuronal network structure and neuronal activity is a fundamental unresolved question in neuroscience, with implications to our understanding of the mechanism by which neuronal networks evolve over time, spontaneously or under stimulation. It requires a method for …

Transfer Entropy for Activity Analysis of iPSC-derived Neuronal Cell Colonies

С. И. Дворецкий, Ho Fai Po, David Saad, European Union et autres

Poster presentation - The Brain Conference on Establishment and Maintenance of Brain Cell States 2023 • Modern brain organoids contain 1000+ cells• We would like to understand the information flow between neurons• Precise modelling of connectivity is not scalable• Transfer Entropy provides …

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Transfer Entropy for Activity Analysis of iPSC-derived Neuronal Cell Colonies

С. И. Дворецкий, Ho Fai Po, David Saad, European Union et autres

Poster presentation - The Brain Conference on Establishment and Maintenance of Brain Cell States 2023 • Modern brain organoids contain 1000+ cells• We would like to understand the information flow between neurons• Precise modelling of connectivity is not scalable• Transfer Entropy provides …

gb, de, es (code pays fourni par la source)