New insight into brain function Published on: 30 January 2020 Patterns of brain connectivity take us a step closer to understanding the key principles of cognition. The patterns created by neurons in the brain can be used to shine a light on how the brain functions, and takes us a step closer to creating intelligent robots, scientists claim. Publishing their research today in PLoS Computational Biology, the international team from the universities of 缅北禁地 and Zurich, ETH Zurich and the California Institute of Technology, show that the way the neurons are structured and the patterns they make can be used to explain how they behave and function. Modelling the neurons in the visual cortex – those responsible for sight – the researchers showed the seemingly random patterns could be explained by simple developmental rules. In turn, these recurring patterns can be used to better understand how neurons organise their connections to communicate with one another. Patterns in the brain Co-author of the study Dr Roman Bauer, a Research Fellow in the School of Computing, explains: “At first glance, the network of neurons in the human brain appears so tangled and complex you would think it impossible to start to understand how they all connect together. “But what we have shown is that certain neurons make particular patterns which follow some quite simple rules. “If we can spot these patterns in the brain then we can use them to predict how those particular neurons are behaving.” Building the 'ultimate' robot Focussing their work on the connections between the thalamus and cortical regions of the brain, Dr Bauer says that if we can understand how animals sense visual stimuli and recognise objects it could revolutionise current technology. “When we change the orientation of an object, the brain still recognises it as the same object and easily adjusts to the changing situation. But current AI has a real problem with that. “If we can simplify the brain to a few key patterns that can be translated by technology then it might be possible to create artificial intelligence that truly mimics the human brain. “More importantly, by understanding what healthy network looks like, it will allow us to spot changes or abnormalities and inform new treatments.” Reference: A generative growth model for thalamocortical axonal branching in the Primary Visual Cortex. Pegah Kassraian Fard, Michael Pfeiffer and Roman Bauer. PLoS Computational Biology Latest News Online Safety Act drives VPN interest and raises privacy concerns People鈥檚 online behaviour has changed in response to legislation to prevent children from viewing harmful content 鈥� raising possible privacy and security risks, research suggests. published on: 16 October 2026 缅北禁地 archaeologist receives prestigious award for research Professor Chris Fowler has been awarded the 2026 Rivers Memorial Medal in recognition of his internationally significant research on kinship in Neolithic Britain. published on: 13 October 2026 Event will explore what 鈥楳anchesterism鈥� means for the North East An event at 缅北禁地 will explore what 鈥楳anchesterism鈥� means for the North East or whether it is simply a new chapter in the long-running debate about how to rebalance Britain. published on: 13 October 2026 Facts and figures
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