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Jun
24
comment Quantifying temporal-spatial data
Per last comment by @A.Birdman, I agree that this is off-topic from bio.SE.
Jun
24
comment Quantifying temporal-spatial data
@A.Birdman I see. This has nothing to do with grid cells (in the entorhinal cortex), their firing (action potentials), and time to first spike neural code. I completely misunderstood your question as a neuroscience one!!!!!
Jun
21
comment Undistorting peripheral vision
I wouldn't say it is "impossible". There might be creative solutions...?
Jun
20
revised What is the relationship between W, X, Y and P, M retinal ganglion cells?
more tags related to neuroanatomy
Jun
20
suggested rejected edit on Quantifying temporal-spatial data
Jun
20
comment Quantifying temporal-spatial data
I don't understand the question. Can you precisely define TSF? Do you have any references for this matter? I am familiar with grid cells in general, but never seen in this context. Also, I do not think this is off-topic. At cross-validated.SE, they won't understand the question any better than us...Bio-related statistics is on-topic in my opinion.
Jun
20
suggested approved edit on What is the relationship between W, X, Y and P, M retinal ganglion cells?
Jun
18
comment How was the cama's life expectancy computed?
probably just an educated guess...
Jun
14
comment Criteria for compound action potential thresholds
Yes, it's eventually statistical.
Jun
9
awarded  Caucus
Jun
6
comment Why does the human brain not overfit when training at some task?
any answer at this point would be a speculation...be prepared to be disappointed!
May
31
comment Hypothetically, what is the smallest functional form of human?
Great answer. But only 200 cell types? I think that's a vast underestimation...
May
15
comment What is the difference between a mechanistic and a statistical predictive model?
@PaulBarr I can't write MWE for those, since mechanistic models are usually complex...also I don't have the time. Sorry.
May
15
comment What is the difference between a mechanistic and a statistical predictive model?
@PaulBarr Usually, you can simulate the mechanistic model, but often difficult to fit its parameters from data. To build the mechanistic model, it is often necessary to make assumptions about the dynamics and parameters which are not strongly supported by data.
May
15
comment What is the difference between a mechanistic and a statistical predictive model?
@PaulBarr I think you are missing the point. If you had the appropriate data, you can always use statistics to answer the how question. Mechanistic models sometimes don't have that luxury, and are pieced together from partial knowledge from here and there. Statistical modeling exploits the observed variables, in my example, those would be only the drug administration and the heart rate.
May
14
answered What is the difference between a mechanistic and a statistical predictive model?
May
11
comment Why is the brain dependent on glucose?
I don't have a clue, but just plausible ideas: (1) amino acid or lipid processing is more dangerous or hinders function. Neurons need to survive for a life time. (2) the rate at which neurons need to regulate their energy level requires fast modulation, and only glucose can do it.
May
10
reviewed Approve What causes morning wood?
May
5
revised Is the number of stamens always 9 for geranium?
better title
May
5
comment Neural coupling between Pinsky-Rinzel (reduced Traub) neuron with a Wang-Buzsaki neuron?
By "action potentials" you mean the pattern of firing, not the shape of the action potential itself? Also, what's driving these neurons?