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Bioartificial Neuronal Networks: Coupling Networks of Biological Neurons to Microtransducer Arrays

2004
In this chapter we introduce the concept of bioartificial neuronal networks, that is networks of biological neurons cultured in-vitro and coupled to Micro Transducer Arrays (MTAs). In-vitro cultured neurons extracted from rats or mice embryos form a bi-dimensional physical model of the brain and, in spite of their simplified level of organization, are ...
MARTINOIA, SERGIO   +2 more
openaire   +2 more sources

Neural Networks and Networks of Neurons

1992
Abstract Neural network models hold the promise of serving as a bridge, or translator, between the more familiar worlds of physiology and behavior. Behavior emerges from the collective activities of brain cells linked together in spatiotemporal patterns, and those activities are the result of the anatomical and physiological ...
Gary Lynch   +3 more
openaire   +1 more source

The bifurcating neuron network 3

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006
The bifurcating neuron (BN) is an integrate-and-fire model neuron that exhibits bistability and attractor-merging crisis. The bifurcating neuron network 1, a network of BNs, was shown to be an associative memory that is robust against spurious minima problems. It was noted that the BN can in fact have multi-stability, which would make the BN a chaotic,
Jinhyuk Choi, Geehyuk Lee
openaire   +1 more source

Networks of neurons

2011
An essential component of the art of modelling is to carry out appropriate simplifications. This is particularly important when modelling networks of neurons. Generally, it is not possible to represent each neuron of the real system in the model, and so many design questions have to be asked. The principal questions concern the number of neurons in the
openaire   +1 more source

Two-neuron networks

Biological Cybernetics, 1996
Leonel Gómez, Ruben Budelli
openaire   +1 more source

Synchronisation Mechanisms in Neuronal Networks

2001
The synchronisation behaviour of a network of FitzHugh-Nagumo (FHN) oscillators are investigated. As the FHN units are meant to represent interneurons, only inhibitory chemical coupling is considered. Each unit receives synaptic-like input from a given fraction of the other units, randomly chosen.
Santi Chillemi   +2 more
openaire   +1 more source

Loss of LAMP5 interneurons drives neuronal network dysfunction in Alzheimer’s disease

Acta Neuropathologica, 2022
Lars Ittner, Fabien Delerue, Tim Karl
exaly  

COMPLEXITY IN NEURONAL NETWORKS

2007
Frégnac, Yves   +3 more
openaire   +2 more sources

Coherence resonance in stimulated neuronal network

Chaos, Solitons and Fractals, 2018
Andrey Andreev   +2 more
exaly  

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