Page 9: Research news on Neuroscience, neural computation & artificial intelligence

Neuroscience, neural computation, and artificial intelligence constitute an integrative research area that investigates the principles of information processing in nervous systems and applies them to computational models and algorithms. It encompasses the study of neural coding, synaptic plasticity, network dynamics, and cognitive architectures, with the dual goals of explaining brain function and developing biologically inspired machine learning methods. Neural computation formalizes neuronal and circuit-level processes using mathematical models and simulations, while artificial intelligence leverages these insights to design architectures such as neural networks and reinforcement learning systems, enabling tasks like perception, decision-making, and control in both biological and artificial agents.

Programmable 2D nanochannels achieve brain-like memory

Researchers at The University of Manchester's National Graphene Institute have developed a new class of programmable nanofluidic memristors that mimic the memory functions of the human brain, paving the way for next-generation ...

This brain circuit drives the urge to mate. Except when it doesn't

In animals with social structures, the drive to reproduce is a complex process; governed by the brain, it's influenced by both internal cues such as hormones and external factors such as interactions with potential mates.

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