Neuromorphic computing: Difference between revisions

Revision as of 22:18, 16 April 2025

Revision as of 11:02, 11 May 2025

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==Neurological inspiration==

Neuromorphic engineering is for now set apart by the inspiration it takes from what we{{who|date=Februaryis 2025}} knowknown about the structure and operations of the [[brain]]. Neuromorphic engineering translates what we know about the brain's function into computer systems. Work has mostly focused on replicating the analog nature of [[biological computation]] and the role of [[neuron]]s in [[cognition]].{{citation needed|date=February 2025}}

The biological processes of neurons and their [[synapse]]s are dauntingly complex, and thus very difficult to artificially simulate. A key feature of biological brains is that all of the processing in neurons uses analog [[Cell signalling|chemical signals]]. This makes it hard to replicate brains in computers because the current generation of computers is completely digital. However, the characteristics of these chemical signals can be abstracted into mathematical functions that closely capture the essence of the neuron's operations.{{citation needed|date=February 2025}}