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Pythagorean
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I'm currently reading Spiking Neuron Models by Gerstner and Kistler:
But I've also come across this in a review of Spikes:
Question(s)
Is this really true? Are all action potentials of a given neuron the same?
Is that justification for action potential shape not "carrying any information"?
If not, where is the assumption valid and where is it not?
Gerstner said:Since all spikes of a given neuron look alike, the form of the action potential does not carry any information
But I've also come across this in a review of Spikes:
Cosma Shalizi said:I'd have liked more at this point about how the neural code gets used in network computations, or, conversely, how to use the tricks we've learned for breaking the code to get a handle on what the networks are computing and how, but this the authors largely reserve for future research (they have great hopes for the hippocampus and the motor cortex), along with a better understanding of the statistics of natural stimuli. They close with a "homage to the single spike," as a trustworthy and reliable carrier of a substantial amount of information, sometimes even responsible by itself for conscious sensations. "The individual spike, so often averaged in with its neighbors, deserves more respect."
Question(s)
Is this really true? Are all action potentials of a given neuron the same?
Is that justification for action potential shape not "carrying any information"?
If not, where is the assumption valid and where is it not?