Neuroplasticity
Neuroplasticity and the issue of synaptic plasticity are among the most important problems in theoretical neuroscience today. Neuronal cells, which organize memory at the membrane, the cytoplasm and the nucleus, are of critical importance. Other types of cells, notably microglia, astrocytes or oligodendrocytes, the vasculature, and the glymphatic system, interact with neuronal cells and provide comprehensive insight into memory and learning. We develop modern models of neuronal cells to support this research.
Bioinformatics – Cancer Biology
Our theoretical work is centered on the OMICS approach, i.e., the exploitation of large databases for the purpose of extracting specific information. We are actively building an endowment to cover research in topics such as RNA biology, lipidomics, drug resistance, pharmacodynamics and related topics. Please contact us for further information.
Cortical Microcolumns (CMs)
Conventional neural networks are huge and energy-intensive. The brain has found compact solutions by the use of repeatable blocks of neural structures in the cortex (CMs). Their function and use for neuroAI applications is of great interest and will inform neurological (dementia) and psychiatric (psychosis, depression) diseases.
New Scholar on Boolean transformations
We welcome another scholar, Maira Perveen, from the TU Chemnitz neurorobotics lab for a thesis on Boolean transformations of indexed neural networks. Why is this relevant? We introduced a memory model (1, 2) that is based on biological cortical memory and uses neuron-centric principles. Now we want to add abstractions to it, such as integer-based […]
Q&A AI and the Brain (eventbrite)
Here is a flyer for our event on Sept 18th, 10am PST! Please go to eventbrite to register. Dr. Scheler and Andrea Terlizzi will give an introduction to modern AI , its history in brain theory and its future. Registered participants will receive a recording of the event. You may ask questions and discuss the […]