However, our data revealed a highly heterogeneous local population in which neighboring neurons could have very similar or very different response properties. Such a model would result in the formation of small subnetworks of highly correlated neurons, partially overlapping in space.
How would the machine work? Discuss the implications of your study for future research and be specific about the next logical steps for future researchers. Creative thinking involves your imagination, which means you have to switch gears mentally.
What might make the machine break? Functional organization and population dynamics in the mouse primary auditory cortex.
I remember struggling with this section myself and, looking back, I believe there were two sources of anxiety. The simplest connectivity model to consider would be that of a tonotopic input combined with locally random noisy connectivity.
You can use a couple of basic techniques to help you with this process: They just need to explain to the colleague, without using numbers, or tables, or figures — just narrative — the following: As tempting as it may be, avoid over-using the grammatical first person.
Another possible explanation for the apparent discrepancy is a sampling bias of extracellular recordings toward highly active neurons40, raising the concern that calcium dye loading might be biased as well, penetrating preferably into subtypes of neurons with Goes discussion section thesis response profiles.
Specifically, at short distances we observed both very large and very small correlations, while at longer distances we observed only smaller correlations You should explain it to me clearly, in a narrative, without restating your results.
Sometimes forcing yourself to argue the reverse position can highlight the relationships or ideas worth exploring. The Ph factor is somewhat elusive and hard to describe, but basically it means you have to make some knowledge claims.
The first is scholarly confidence. But then, a word of caution: I hope some of these suggestions help to get you started. Tonotopy and gradual decrease of signal correlation with distance were found when examining larger distances.
Be honest about the limitations of your study. Draw up a table describing where your work is similar to others and where it differs. Many people find talking an easier way to get ideas out. Begin with a restatement of your research question, followed by a statement about whether or not, and how much, your findings "answer" the question.
For example, an artist may discuss each project and what it means separately. If you are feeling anxious about the discussion section rest assured you are not alone. Previous reports of smooth tonotopic maps may have resulted from techniques that average the responses over multiple neurons.
Despite the local disorder, large-scale organizing principles do exist. Use each of these points as a prompt to write a short paragraph on why. 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.
Results can take the form of data, hypotheses, models, definitions, formulas, etc. Show how your study either corraborates, extends, refines, or conflicts with previous findings. If you have unexpected findings, try to interpret them in terms of method, interpretation, even a restructured hypothesis; in extreme cases, you may have to rewrite your introduction.
Scientific Style Writing the Discussion The discussion section is a framing section, like the Introduction, which returns to the significance argument set up in your introduction. Most often, your result either agrees with corroboratesextends, refines, or conflicts with the other result.
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 is reasonably supported for your data.
Summary of the entire project — this can be an extended abstract. These neurons might be involved in something other than simple pure-tone coding, such as processing of complex sound features 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.
Likewise a historian may break the thesis up into time periods and do critique and evaluation throughout the whole.The Difficulties of Writing a Discussion Section. In an ideal world, you could simply reject your null or alternative hypotheses according to the significance levels found by the statistics.
That is the main point of your discussion section, but the process is usually a lot more complex than that. The discussion section is a framing section, like the Introduction, which returns to the significance argument set up in your introduction.
So reread your introduction carefully before writing the discussion; you will discuss how the hypothesis has been demonstrated by the new research and then show how the field's knowledge has been.
The discussion section is the most important part of your dissertation, and you'll need to make sure you have all the vital ingredients of a great discussion. 1. The check-list below includes a list of the important things you should include in your discussion. In a conventional thesis, what we call the IMRAD type (introduction, methods, results, discussion and conclusion) the discussion chapter appears a discrete chapter.
Before you worry about the discussion chapter too much, consider whether you need to treat the discussion as a separate section at all. Your discussion should begin with a cogent, one-paragraph summary of the study's key findings, but then go beyond that to put the findings into context, says Stephen Hinshaw, PhD, chair of the psychology department at the University of California, Berkeley.
How to write a Discussion chapter for your thesis or dissertation I noticed that the Discussion chapter is one of the hardest to write, especially when you are so close to the results and your head is wrapped up in all the data.Download