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Learning excerpts and notes (13) --- " Artificial neural network is too simple, "Science" reveals that neuron dendrites also imply computing power"
The artificial neural network is too crude, "Science" reveals
Neuronal dendrites also imply computational power
Source of original text/paper:
题目:《Dendritic action potentials and computation in human layer 2/3 cortical neurons》
Time: 2020-01-03
Source: Science
1 note
At present, for computer scientists, the construction of artificial neural networks is often based on the concept that a neuron is a simple, non-intelligent switch, and the information processing of a neural network comes from the communication between tens of thousands (trillions) of neurons. connect.
This is not the case with neuroscientists' findings on the human brain. In many neuroscience studies, it has been found that the human brain does not only have neuron connections that play a role in information calculation, and a single neuron also undertakes much more important calculation tasks than previously imagined .
"Science" published a paper "Dendritic action potentials and computation in human layer 2/3 cortical neurons" . In the paper, the researchers found that tiny compartments in the dendritic arms of cortical neurons can perform a specific computation -- the "exclusive OR . " The reason why this discovery is important is that mathematical theorists have always believed that a single neuron cannot perform "exclusive or" calculations; now not only a single neuron, but even parts of the dendrites of neurons can " XOR" operation .
Neurons are not just for connections, they can also perform complex operations, and the neurons themselves may also be a multi-layer network.
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