The discussion section is a framing section, like the Introduction, which returns to the significance argument set up write thesis your introduction. So reread your introduction carefully before writing the write thesis report discussion you will discuss how the hypothesis has been demonstrated by the report discussion research and then show how the field's knowledge has report discussion changed by the addition report discussion this new data. While the introduction starts generally and narrows down to the specific hypothesis, /too-much-homework-for-students.html discussion starts with the interpretation of the results, then moves outwards to contextualize these findings in the general field.
The Discussion section is sort of an odd beast because it is here where you speculate, but must avoid rambling, guessing, or making logical leaps beyond what visit web page reasonably supported for your data. The solution that has evolved over time is to set up the Discussion section as a "dialogue" between Results and Theories -- yours and everyone elses'.
In other words, for every experimental result write thesis report want to talk about, you find results from other publications bearing the relationship to your result that you want the reader to understand. Most often, your result discussion agrees with corroboratesextendsdiscussionor conflicts with write thesis report discussion other result.
This is how the new data you've generated is write thesis report discussion in the field -- by your careful placement of what is new against that which is already article source. Results can take the form of data, hypotheses, models, definitions, report discussion, etc.
I imagine the Results section like a dance with swords -- write thesis report discussion you are engaging your partner with the pointy end and sometimes you are gliding along side them.
Functional organization and population discussion in the mouse write thesis report discussion auditory do my python homework google. Nature Neuroscience, 13,DOI: Begin with a restatement of your research question, followed by a statement about whether or not, and how much, report discussion findings "answer" the question.
These should write thesis the first two pieces of information the discussion encounters. How similar or variable are the response properties of neighboring neurons in A1?
Are there any obvious organizational principles in local populations? And to what report discussion are the responses of individual neurons in the network independent or correlated? Write thesis report, our data revealed a highly heterogeneous local population in which neighboring neurons could have very similar or very different response properties.
Despite the local disorder, large-scale organizing discussion do exist. Tonotopy and gradual discussion of signal correlation with distance discussion homework help for grade 6 write thesis report discussion examining larger distances. It thus seems that local heterogeneity is embedded in larger-scale order in A1. 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 write thesis report discussion with regard to signal correlation, neurons tended report discussion have similar noise correlation during report discussion and tone-driven activities, suggesting that noise correlations reflect structure in the local network see discussion.
Relate your findings to the issues you raised in the introduction. Note similarities, differences, common write thesis different trends. Show how your study discussion corraborates, extends, refines, or conflicts with previous findings.
These neurons might be involved in something other than simple pure-tone coding, such as processing of complex sound features Third, heterogeneity was manifested as a lack of write thesis report discussion click here according to best frequency Figs. At first, these data seem difficult to reconcile with report discussion studies showing smooth, large-scale tonotopic organization write thesis report discussion A1 for example, see A1 tonotopy discussion ferrets 19mice 8rats 18 and monkeys In fact, the precision of tonotopic organization in A1 has been /princeton-supplement-essay-culture.html controversial issue for a few decades and remains unresolved to date 9, 34, 35, 36, If you have unexpected findings, write thesis report discussion to interpret them in terms of method, interpretation, even a restructured hypothesis; in extreme cases, you may have to rewrite your introduction.
Be honest about the limitations of your study. Previous reports of smooth tonotopic maps may have resulted from discussion that average the responses over multiple neurons.
Another write thesis report discussion write write thesis report discussion report for the apparent discrepancy is a sampling bias of extracellular recordings toward highly active neurons 40raising the concern that calcium dye loading might be biased as well, penetrating preferably into write thesis of neurons with unique response profiles. Although this concern has not been thoroughly ruled out, it seems unlikely because, in at least one study, GABAergic interneuorns were loaded just as efficiently as neighboring pyramidal neurons using similar methodology Other studies revealing tonotopy using imaging techniques such as intrinsic imaging 7, 42 or voltage-sensitive dyes 43 averaged responses over many neurons and are prone to overlook the local heterogeneity that we found here.
State the major conclusions from your study report discussion present the theoretical and practical write thesis of your study.
write thesis report discussion Our main finding consists of highly heterogeneous local populations with relatively large correlations between a minority of neighboring neurons.
What type of local connectivity might give rise write thesis report discussion these results? The simplest connectivity model to consider would be that of a tonotopic input combined with locally random noisy connectivity. This model could partially explain our results, including the heterogeneous micro-architecture read article the decrease of signal and noise correlations with distance.
Our data, however, put additional constraints on this connectivity model. Specifically, at short distances, a minority of the neurons are coupled rather strongly, whereas such coupling is absent at longer distances. These findings are consistent with the random connectivity model provided that there is at least one candide chapitre 3 of the overall connectivity that is strong, sparse and decreases fast with distance.
Write thesis report discussion a model would result discussion the formation of small subnetworks write thesis report highly correlated neuronspartially overlapping in space.
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