# Tag Info

1

From the physics(acoustics) perspective, the sensory input changes depending upon pitch. When you hear a sound that is high-pitched, your head blocks the sound wave, creating a sound shadow for the ear on the opposite side of your head from the sound source. This sound shadow means that your ears hear the sound at two different volumes, which the brain then ...

1

It seems there is! Check out Marsalli's module from The Mind Project's curriculum and let me know if it works for you. It seems McCullough and Pitts' paper was important enough to be cited very many times, so there are probably several other options out there for you. Reference Marsalli, M. McCulloch-Pitts neurons. The Mind Project: Curriculum. Retrieved ...

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I got the answer for this question: Because the dataset becomes imbalanced. That is why the performance of our classifier decreases instead to decrease. Usually you should have a balance between out positive and negative training.

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Very many references may easily be found with a Google search for "mathematical model memory". Probably the most classic and iconic reference is Atkinson and Shiffrin (1965), which is also described on Wikipedia. Its three components and their relationships are nicely encapsulated in this figure: Many other, lesser-known mathematical models of memory ...

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Partial answer: Douglas Hofstadter has written quite a lot about this from a more philosophical approach. His style isn't for everyone, I think it's introduced well in this chapter ('Ant Fugue'). For more applied work from the same, you might look at Mitchell and Hofstadter's CopyCat model of analogies (described briefly here, as well as on wikipedia). ...

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There's the naïve version of spike triggered averaging, and the sophisticated version. Both of them are consistent estimators for a linear-nonlinear system under certain conditions (Paninski, 2003). If your stimulus is $x_i$ and your spike count in a small bin is $y_i$, naïve version is $$\mathrm{STA} = \frac{1}{N} \sum_i x_i y_i$$ The sophisticated version ...

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I have participated in NIPS, CNS, and COSYNE at least a couple times each. In fact, I have participated in all 3 last year. COSYNE is a smallest conference, but it's growing fast. It's a great conference because it has a good balance between experimentalists and theorists. It takes an extended abstract (2 pages). It emphasizes the systems aspect of the ...

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