New technologies in neuroscience generate reams of data at an exponentially increasing
rate, spurring the design of very-large-scale data-mining initiatives. Several supranational …

Causal reductionism is the widespread assumption that there is no room for additional
causes once we have accounted for all elementary mechanisms within a system. Due to its …

Recent studies have served to emphasize the unique placement of amphibians, composed
of more than 8000 species, in the evolution of the brain. We provide an overview of the three …

In computational biology, modeling is a fundamental tool for formulating, analyzing and
predicting complex phenomena. Most neuron models, however, are designed to reproduce …

Recent studies reveal the occasional impact of single neurons on surround firing statistics
and even simple behaviors. Exploiting the advantages of a simple cortex, we examined the …

Understanding circuit computation in the nervous system requires sampling activity over
large neural populations and maximizing the number of features that can be extracted. By …

Understanding a neuron's input-output relationship is a longstanding challenge. Arguably,
these signalling dynamics can be better understood if studied at three levels of analysis …

The marmoset has emerged as a promising primate model system, in particular for visual
neuroscience. Many common experimental paradigms rely on head fixation and an …

The aim of this thesis is to dissect out the minimalistic ancestral neural hardware, which has
been conserved in homologue structures of the cerebral cortex and in particular the …

The marmoset monkey is becoming an increasingly relevant model for biological and
medical research. Here, we present two methodological advancements for visual …