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 – Cell 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.
Vector Fields of Response Strength
New article on medium (excerpt): In some ways, even without performing internal calculations, we may still define equations for the internal parameter dynamics, and provide a neuron-specific response strength or transfer function at each point in time to select and match synaptic inputs — a move away from purely use-dependent plasticity to vector field-coordinated plasticity […]
Position Paper on Neuron-Centric Plasticity
The new abstract of a position paper has now been published on F1000 with open peer review by S. Ramaswamy and I. Raikov. It explains how we need a paradigm shift from a synapse-centric theory of brain plasticity – the theory that gave us the adage “neurons that fire together wire together”- to a more […]