Research News
How the brain teaches itself to see
A computational model gives insights into how spontaneous neural activity shapes connectivity in the developing visual system
Making the Role of AI in Medicine Explainable
Making the Role of AI in Medicine Explainable - Analysis system for the diagnosis of breast cancer
Watching the brain learn
Scientists at Göttingen University discover structural changes in adult mice brains as seen in young animals
The fruit fly and its comb-shaped neurons
The fruit fly is one of the best-studied organisms in the world. Yet it still leaves questions unanswered. For example, how some of its neurons develop special, comb-like shape dendrites. ESI-scientists just conducted a study to answer it. And discovered something astonishing.
Grasping an object - model describes complete movement planning in the brain
Neurobiologists at the German Primate Center developed a model that for the first time can completely represent the neuronal processes from seeing to grasping an object.
Nervous systems of insects inspire efficient future AI systems
Study explores functions of fruit fly’s nervous system in food seeking / results valuable for the development and control of artificial intelligence
Algorithm detective determines suitable neuro-model
In research, collecting data can be difficult, but fitting the data into a model that explains the observations is a challenge on another level. In neuroscience, many experiments measure the activity of neurons. However, to understand what exactly happens in a neuronal network, the data needs to be explained by a model. So, which model fits which data? A novel method developed by Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Jakob Macke and colleagues automates this process.
Covid Control put to the test
Contact tracing and low case numbers make an important contribution to curbing a second wave of the corona epidemic
Tuning in on cortical circuit dynamics
Neurons use homeostatic mechanisms to maintain stability despite experience-dependent network alterations.