Discussion Thesis Phd

Discussion Thesis Phd-71
Furthermore, imaging dozens of neurons simultaneously allowed us to unravel temporal interactions between thousands of neuronal pairs as measured by noise correlations.Despite the heterogeneous organization with regard to signal correlation, neurons tended to have similar noise correlation during on-going and tone-driven activities, suggesting that noise correlations reflect structure in the local network (see below).Generally speaking, the organization is as follows (examples from Rothschild, G., Nelken, I., & Mizrahi, A. Functional organization and population dynamics in the mouse primary auditory cortex.

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Careers asked recent graduates and current students to reflect on their experiences and what did—and didn’t—work for them.

In my department, theses must be no longer than 175 pages plus front matter and appendices.

These findings are consistent with the random connectivity model provided that there is at least one component of the overall connectivity that is strong, sparse and decreases fast with distance.

Such a model would result in the formation of Notably, a subnetworks model would account for the details of the dependence of signal correlation and noise correlation on distance.

Are there any obvious organizational principles in local populations?

And to what extent are the responses of individual neurons in the network independent or correlated?

As tempting as it may be, avoid over-using the grammatical first person.

"I" is powerful grammatically and can be intrusive if used too often.

Stylistically, the Discussion often reads like a set of bulleted points that happen to be written out in paragraph form.

Use subheadings if it makes sense; otherwise, worry less about "flow" between sections than you should in the introduction.

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