Graph theory neural networks
[Cross-posted from Signtific Lab.]
Researchers at VU University Medical Center in Amsterdam have applied the analytic methods of graph theory to analyze the neural networks of patients suffering from dementia. Their findings reveal that brain activity networks in dementia sufferers are much more randomized and disconnected than in typical brains. "The underlying idea is that cognitive dysfunction can be illustrated by, and perhaps even explained by, a disturbed functional organization of the whole brain network", said lead researcher Willem de Haan.
Of perhaps deeper significance, this work shows the application of network analysis algorithms to the understanding of neurophysiology and mind, suggesting a similarity in functioning between computational networks and neural networks. Indeed, the research highlights the increasing feedback between computational models and neural models. As we learn more about brain structure & functioning, these understandings translate into better computational models. As computation is increasingly able to model brain systems, we come to understand their physiology more completely. The two modalities are co-evolving.
Random Geometric Graphs (Oxford Studies in Probability)
Book (Oxford University Press, USA)
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