Original article can be found at: http://www.sciencedirect.com/science/journal/09252312 Copyright Elsevier B.V. DOI: 10.1016/S0925-2312(02)00438-1Peer reviewe
Computational modelling has emerged as a powerful tool to study the behaviour of complex systems. Co...
Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms ...
For simulations of neural networks, there is a trade-off between the size of the network that can be...
the motivation is to produce realistic dendritic structures to be used in an electrophysiology simul...
Computational neuroscience attempts to reverse engineer brain circuits at the cellular and system le...
Book Summary: Computational models of neural networks have proven insufficient to accurately model b...
Background: The morphological development of neurons is a very complex process involving both geneti...
Computer simulations allow researchers to explore processes underlying neural functions. Biologicall...
Poster presentation: An important challenge in neuroscience is understanding how networks of neurons...
On the level of the spiking activity, the integrate-and-fire neuron is one of the most commonly used...
In this paper I present the results of an investigation into modelling neurons by a method that appr...
Abstract: Tree-like structures are ubiquitous in nature. In particular, neuronal axons and dendrites...
We present a general connectionist model for an olfactory system. The dynamical behavior of each nod...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
First-principles-based modelings have been extremely successful in providing crucial insights and pr...
Computational modelling has emerged as a powerful tool to study the behaviour of complex systems. Co...
Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms ...
For simulations of neural networks, there is a trade-off between the size of the network that can be...
the motivation is to produce realistic dendritic structures to be used in an electrophysiology simul...
Computational neuroscience attempts to reverse engineer brain circuits at the cellular and system le...
Book Summary: Computational models of neural networks have proven insufficient to accurately model b...
Background: The morphological development of neurons is a very complex process involving both geneti...
Computer simulations allow researchers to explore processes underlying neural functions. Biologicall...
Poster presentation: An important challenge in neuroscience is understanding how networks of neurons...
On the level of the spiking activity, the integrate-and-fire neuron is one of the most commonly used...
In this paper I present the results of an investigation into modelling neurons by a method that appr...
Abstract: Tree-like structures are ubiquitous in nature. In particular, neuronal axons and dendrites...
We present a general connectionist model for an olfactory system. The dynamical behavior of each nod...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
First-principles-based modelings have been extremely successful in providing crucial insights and pr...
Computational modelling has emerged as a powerful tool to study the behaviour of complex systems. Co...
Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms ...
For simulations of neural networks, there is a trade-off between the size of the network that can be...
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