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QUESTION
I'm trying to couple several Quadratic integrate-and-fire neurons.
My script works successfully with two neurons, but when I modified the script for 3 neurons, I noticed that the voltage of the third neuron suddenly explodes and therefore, the integration fails.
I did some basic analysis, and looking at the solution array, my guess is that the event detection of scipy.solve_ivp can't detect when two neurons fire at the same time. My reason for saying this is that the 2nd and 3rd neurons' firing rate should be identical, since they only neuron with an external current is the 1st one.
However, while they both fire together, the event detection only detects one event, and therefore fails to reset the voltage of the other one, hence the exponential growth.
My ultimate goal would be to couple this with other types of neurons, but since many of those have intrinsic repolarization dynamics, event handling of QIFs is the crucial part of scaling the network.
...ANSWER
Answered 2020-Feb-09 at 17:46You are indeed correct, solve_ivp
does not detect additional events that happen at the same time (outside of situations where you duplicate a component as here it is highly unlikely to arrive at such a situation in a numerical simulation). You can test this manually, as an event is a root of the event function. So set
QUESTION
I would like to place a div element with the bottom half over an other div element. You can see a simple markup here
If you enable the transform
property for .overlay then the element is pushed half way down but also the white space of the parent container is visible. Is there any chance to avoid this and get a solution without any space before the dark-gray div? I also would like to avoid to set a negative margin-top if perhaps there is a better solution.
This markup isnt fix, it can be changed if it is necessary.
...ANSWER
Answered 2018-Feb-08 at 21:18The only other way besides negative margin I can think of is to use a pseudo ::after element on the .col
...
QUESTION
Ok, here’s the story: I work for a company that recycles hazardous liquid chemicals into useful chemicals. Part of this process involves moving these materials from one tank to another as each part of the recycling process is complete. These tanks are either in our tank farm, part of the distillation system, in rail cars, or tanker trucks. The task I was assigned was to write a query that will allow the manager to pick up with any tank and follow the movement of that material through every tank until it is disposed of or sold. The database was built some 10 years ago, before my time, so the data is all I have to work with (i.e. can’t change it to make it easier to work with).
Now the table structure: the columns that lend themselves to this endeavor are:
- SouceTank
- OpenDate (The day the empty tank starts receiving material)
- CosedDate (The date the tank is closed, emptied, and made ready for new material)
- DestinationTank (The tank the material was moved to)
- ProductName (I add this to validate movements. Many materials can’t be mixed. Some are. The ones that can’t be mixed could show a problem if the algorithm is not working correctly.)
All tanks will have an OpenDate but tanks still being filled or waiting to be shipped out would not have a closed date. Mostly, tanks are chemical agnostic -as in, any empty tank can be used for any chemical. Anywhere from 1 to 10 movements can be expected.
I tried using a recursive CTE T-SQL algorithm but quickly got lost trying to match the SourceTank to the matching DestinationTank where the CosedDate of the SourceTank was between the OpenDate and CosedDate of the DestinationTank, or at least after or equal to the OpenDate of the DestinationTank if it has yet to be closed.
Sample data:
...ANSWER
Answered 2017-Oct-12 at 06:35I'm not sure how useful this will be as I don't know what the expected result should look like, but it might assist. I was trying to make sense of the dates so that's why you will see them concatenated into a pathway columns. I also wasn't sure where to start so I guessed at the earliest startdate for each tank.
MS SQL Server 2014 Schema Setup:
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