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.
Fast Decisions via Index Neurons
A new paper is under construction, the results came in, and the abstract is ready. Recurrent to Feedforward Transformation for Fast Decision-Making in Indexed Memories Abstract: In this paper we analyse the performance of indexed memory systems for fast decision-making using a feed-foward interpretation of recurrent networks. We recapitulate the components of an indexed memory […]
New Scholar working on a Neuron Model
For the summer months we gained another scholar, Lucas Lazar from the University of Glasgow, to work on neuron model as decision-making units with internal memory. With a view of neurons and glial cells as derived from units which process stimuli and respond with internal changes as well as signals they release back into their […]