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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The convergence
There used to be the concept of a “singularity”. The idea was that computers would become smarter than humans and start to replace them. Even the idea that humanity would be substituted by silicon-based computing machines (robots) was suggested. Against that two years ago we set the concept of “The convergence”. This assumes that biological Read more..
Interview with Gabriele Scheler: Neuro AI. Will it be the future?
Here is an interview concerning the current AI and generative AI waves, and their relation to neuroscience. We propose solutions based on new technology from neuroAI – which includes humans ability for reasoning, thought, logic, mathematics, proof etc. – and are therefore poorly modeled by data analysis on its own. Some of our work – Read more..
