Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …

So-called spontaneous activity is a central hallmark of most nervous systems. Such non-causal
firing is contrary to the tenet of spikes as a means of communication, and its purpose …

Microelectrode arrays (MEAs), substrate-integrated planar arrays of up to thousands of
closely spaced metal electrode contacts, have long been used to record neuronal activity in in …

Kernel Current Source Density (kCSD), which we introduced in 2012, is a kernel-based
method to estimate current source density (CSD) from extracellular potentials recorded with …

The EEG signal is generated by electrical brain cell activity, often described in terms of
current dipoles. By applying EEG forward models we can compute the contribution from such …

Neural circuits are notorious for the complexity of their organization. Part of this complexity
is related to the number of different cell types that work together to encode stimuli. I will …

Extracellular recording is an accessible technique used in animals and humans to study the
brain physiology and pathology. As the number of recording channels and their density …

Data interchange is emerging as an essential aspect of modern neuroscience. In the areas
of computational neuroscience and systems biology there are multiple model definition …

So-called spontaneous neuronal activity is a central hallmark of most nervous systems. Such
non-causal firing is contrary to the tenet of spikes as a means of communication, and its …

While impairing neuronal metabolism limits brain performance, it remains poorly understood
whether enhancing metabolism in neurons, in contrast, could boost brain function. We find …