Neuroplasticity
Neuroplasticity and the related issue of synaptic plasticity are among the most important problems in theoretical neuroscience today. Even though the brain consists of other types of cells, notably microglia, astrocytes or oligodendrocytes, and its vasculature, its glymphatic system, and the brain-blood barrier are of critical importance, it is a reasonable assumption that models of neuroplasticity will provide critical insight into memory and learning…
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Medical Applications: Enhanced memory for detail in autism
Much research on autism focuses only on deficits in social cognition. But another common hallmark of autism-spectrum disorders is an enhanced memory for details, such as types of objects and their location, words from different languages, types of cars etc. (‘item’ memory). Current models of memory which are based on use-dependent synaptic plasticity and associative learning are not sufficient to explain this phenomenon…
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Cancer Biology: Bioinformatics
Our theoretical work on cancer biology is centered on the OMICS approach, i.e. the exploitation of large databases for the purpose of extracting specific information…
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New Results in Neuroscience Based AI for Memory and Learning
In our own work on NeuroAI we aim to leverage knowledge about the brain — here the cortex — for structural learning, i.e. for learning that is fast, efficient and successful because it uses the pre-existing neuronal structures which have evolved over millions of years. In the terms of classical AI, what we have done Read more..
Check out our new video about AI and language (raw cut)
Check out the raw cut of our new video podcast about philosophy, AI and language
