In an ever‐changing environment, animals have to continuously adapt their behaviour. The
ability to learn from experience is crucial for animals to increase their chances of survival. It …

Nonlinear data visualization methods, such as t-distributed stochastic neighbor embedding
(t-SNE) and uniform manifold approximation and projection (UMAP), summarize the …

Diverse cell types in the central nervous system (CNS) are generated by a relatively small
pool of neural stem cells during early development. Spatial and temporal regulation of stem …

The neural cell adhesion molecule 1 (NCAM-1) has been implicated in several brain-related
biological processes, including neuronal migration, axonal branching, fasciculation, and …

Nonlinear data-visualization methods, such as t-SNE and UMAP, have become staple tools
for summarizing the complex transcriptomic landscape of single cells in 2D or 3D. However …

Regulation of the microtubule cytoskeleton is crucial for the development and maintenance
of neuronal architecture, and recent studies have highlighted the significance of regulated …

Graph theoretical analyses of nervous systems usually omit the aspect of connection
polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans …

Aversive learning and memories are crucial for animals to avoid previously encountered
stressful stimuli and thereby increase their chance of survival. Neuropeptides are essential …

RNA-binding proteins (RBPs) regulate translation and plasticity which are required for
memory. RBP dysfunction has been linked to a range of neurological disorders where …

Animals can adapt to dynamic environmental conditions by modulating their developmental
programs. Understanding the genetic architecture and molecular mechanisms underlying …