open-connectome-classes / StatConn-Spring-2015-Info

introductory material
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Calculating the number of edges in the brain. #23

Open dlee138 opened 9 years ago

dlee138 commented 9 years ago

In the first lecture, we talked about how there are approximately 80 billion neurons (or vertices) in the brain and 100 trillion synapses (edges). I was wondering how the 100 trillion edges estimation was calculated. One could find the average number of synapses in a single neuron and multiply it by the total number of neurons to find out the total number of edges. However, I'm assuming that different types of neuron have different number of edges and that the distribution of these different neurons aren't uniform as well, which would make average synapse per neuron calculations quite complicated. Have scientists used a different approach to calculate the total number of edges or have they found a way to accurately calculate the average number of synapses per neuron?

-David

jovo commented 9 years ago

not to my knowledge. maybe you could check the literature and report back?

On Mon, Feb 2, 2015 at 3:03 AM, dlee138 notifications@github.com wrote:

In the first lecture, we talked about how there are approximately 80 billion neurons (or vertices) in the brain and 100 trillion synapses (edges). I was wondering how the 100 trillion edges estimation was calculated. One could find the average number of synapses in a single neuron and multiply it by the total number of neurons to find out the total number of edges. However, I'm assuming that different types of neuron have different number of edges and that the distribution of these different neurons aren't uniform as well, which would make average synapse per neuron calculations quite complicated. Have scientists used a different approach to calculate the total number of edges or have they found a way to accurately calculate the average number of synapses per neuron?

— Reply to this email directly or view it on GitHub https://github.com/Statistical-Connectomics-Sp15/intro/issues/23.

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