목록Computational Neuroscience/Week2 What do Neurons Encode? (3)
Neuroscience Study
We're going to finish up today's lecture with a discussion of reconstruction. I think we all share the dream that one day we might be able to record brain activity, during our sleep, and in the morning play back our dreams. So while the dream state is still not well understood, how close are we from being able to reconstruct even awake sensory experience from neural activity. We can apply the me..
2.4 Neural Encoding: Variability We'll finish up this week's material by considering a final couple of model upgrades. Let's go back and stare at this data again. There are a couple of issues that we haven't yet addressed. One is that we modeled only a time bearing firing rate. And of course this data is in the form of spiked times. In what sense the precise patterns of these spike trains might ..
In the last section we argued that a good basic coding model for many neural systems is a combination of a linear filter, or feature, that extracts some component from the stimulus, and a nonlinear input-output function that maps the filtered stimulus onto the firing rate. Our goal in this section is to understand how to find the components of such a model. You'll be doing this for yourself in t..