Alix M. B. Lacoste

TL;DR: An expandable open-source atlas containing molecular labels and definitions of anatomical regions, the Z-Brain, is built to create and contextualize whole-brain maps of stimulus- and behavior-dependent neural activity in zebrafish.

TL;DR: How machine learning can aid early diagnosis and interpretation of medical images as well as the discovery and development of new therapies is discussed, and the latest developments in the use of machine learning to interrogate neurodegenerative disease-related datasets are described.

TL;DR: Overall, IBM Watson was successfully used to help identify additional RBPs altered in ALS, highlighting the use of artificial intelligence tools to accelerate scientific discovery in ALS and possibly other complex neurological disorders.

TL;DR: It is revealed that spiral fiber neurons are essential for the function of the M-cell in response to sensory cues and suggested that convergent excitatory inputs that differ in their input location and timing ensure reliable activation of theM-cell, a feedforward excitatories motif that may extend to other neural circuits.

TL;DR: It is shown that noxious stimuli elicit intense and widespread activity in zebrafish oxytocin neurons, which promote defensive behavior by activating hindbrain premotor neurons.