A new computer simulation showcasing the development of neurons in our brains has been created by scientists from the University of Surrey. The aim is to enhance our comprehension of brain functionality, and researchers believe that this model could aid in the study of neurodegenerative diseases and, in the future, facilitate stem cell research for brain tissue regeneration.
Scientists from the University of Surrey have developed a novel computer simulation detailing how our brains grow and develop neurons. This research aims to deepen our understanding of brain operations, with hopes that the models will aid neurodegenerative disease studies and eventually assist in stem cell research aimed at regenerating brain tissue.
The research team employed a method known as Approximate Bayesian Computation (ABC). This technique fine-tunes the simulation by matching it against actual neuron growth, ensuring that the virtual brain closely mirrors the genuine growth and connection formation of neurons.
The simulation utilized neurons from the hippocampus, an essential brain area that plays a significant role in memory storage. The team reported that their system accurately replicated the growth patterns of real hippocampal neurons, demonstrating the technology’s capability to simulate detailed brain development.
Dr. Roman Bauer from the University of Surrey’s School of Computer Science and Electronic Engineering stated:
“Understanding how our brain functions remains one of science’s biggest enigmas. With this simulation and the rapid progress in artificial intelligence, we are moving closer to deciphering how neurons develop and interact. We aspire that this work could eventually lead to improved treatments for debilitating diseases like Alzheimer’s or Parkinson’s, positively impacting millions of lives.”
The model’s accuracy is heavily dependent on the quality of the data used for calibration. If the real neuron data is limited or lacking, the simulation’s accuracy can diminish. Although the current model has shown remarkable success in representing specific neurons, like hippocampal pyramidal cells, additional refinements may be necessary to accurately depict other neuron types or different brain regions.
The computer simulation is based on the BioDynaMo software, which Dr. Bauer co-developed. This software enables researchers to effortlessly create, execute, and visualize multi-dimensional agent-based simulations, applicable in biological, sociological, ecological, or financial fields.
