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Deep learning and predictive coding architectures commonly assume that inference in neural networks is hierarchical. However, largely neglected in deep learning and predictive coding architectures is the neurobiological evidence that all hierarchical cortical areas, higher or lower, project to and receive signals directly from subcortical areas. Given these neuroanatomical facts, today’s dominance of cortico-centric, hierarchical architectures in deep learning and predictive coding networks is highly questionable; such architectures are likely to be missing essential computational principles the brain uses. In this Perspective, we present the shallow brain hypothesis: hierarchical cortical processing is integrated with a massively parallel process to which subcortical areas substantially contribute. This shallow architecture exploits the computational capacity of cortical microcircuits and thalamo-cortical loops that are not included in typical hierarchical deep learning ....
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Science Communication Opinion Share Post In this opinion piece, Andrei Surguchov, Professor of Neurology at University of Kansas Medical Center and Chief Editor of Biochemistry Research International, reflects on the impact the COVID-19 has had on the epidemic of neurodegenerative diseases and dementia. Lack of an active treatment strategy and vaccine makes SARS-CoV-2 infection an immense threat to humankind. The COVID-19 pandemic arrived when the world was already facing other rising health problems, one of the most serious of which is the epidemic of neurodegenerative diseases and dementia. Now there are some signs of stabilization of COVID-19 spread, at least in some countries and hope for the development of a vaccine. Therefore, it is time to understand how the COVID-19 pandemic interferes with another challenge – the epidemic of neurodegenerative diseases. How do these two threats to human health affect each other and what can physicians and researchers do t ....