This Research Topic of Frontiers in Neuroinformatics is dedicated to the memory of Rolf
Kötter (1961–2010), who was the Frontiers Associate Editor responsible for this Research …

Objective: Like all scientific research, computational neuroscience research must be
reproducible. Big data science, including simulation research, cannot depend exclusively on …

The neural encoding of visual features in primary visual cortex (V1) is well understood, with
strong correlates to low-level perception, making V1 a strong candidate for vision restoration …

Knowledge integration based on the relationship between structure and function of the
neural substrate is one of the main targets of neuroinformatics and data-driven …

Lancet is a new, simulator-independent Python utility for succinctly specifying, launching,
and collating results from large batches of interrelated computationally demanding program …

pypet (Python parameter exploration toolkit) is a new multi-platform Python toolkit for
managing numerical simulations. Sampling the space of model parameters is a key aspect …

Recent advances in neurotechnology enable exciting new experiments, including novel
paradigms such as closed-loop optogenetic control that achieve powerful causal …

The spatial organization and dynamic interactions between excitatory and inhibitory synaptic
inputs that define the receptive field (RF) of simple cells in the cat primary visual cortex (V1) …

We developed NeuroManager, an object-oriented simulation management software engine
for computational neuroscience. NeuroManager automates the workflow of simulation job …

Systems neuroscience has experienced an explosion of new tools for reading and writing
neural activity, enabling exciting new experiments such as all-optical or closed-loop control …