Channel Builder - Revision history

Carver: /* Comments about homework T */

2009-04-14T16:18:31Z

‎Comments about homework T

Carver: /* Today's Lab */

2009-04-14T15:48:45Z

‎Today's Lab

Carver: /* Today's Lab */

2009-04-14T15:48:32Z

‎Today's Lab

Carver: /* Today's Lab */

2009-04-14T15:37:36Z

‎Today's Lab

Carver: /* Comments about homework T */

2009-04-14T15:29:09Z

‎Comments about homework T

Carver: /* Comments about homework T */

2009-04-14T15:24:51Z

‎Comments about homework T

Carver: /* Comments about homework T */

2009-04-14T15:00:55Z

‎Comments about homework T

Carver: New page: == Comments about homework T == Putting in a '1' makes you certain that you are open. Putting in a '1' then a '0' makes you certain that you are closed. Putting in more '0's leads to gr...

2009-04-14T15:00:15Z

New page: == Comments about homework T == Putting in a '1' makes you certain that you are open. Putting in a '1' then a '0' makes you certain that you are closed. Putting in more '0's leads to gr...

New page

== Comments about homework T ==

Putting in a '1' makes you certain that you are open.

Putting in a '1' then a '0' makes you certain that you are closed.

Putting in more '0's leads to greater and greater certainty that you are stuck.

Putting in 0.5 leads to a situation where the measurement does not provide information. In this case the state posterior PMF converges to the "equilibrium distribution for the Markov chain," which is the unique PMF which is unchanged by the prediction. In our case this PMF is heavily weighted to STUCK. Note that if you run a simulation most of the time the channel is STUCK (because it is easy to get into this state but hard to get out). In the absence of any information your best guess is STUCK. Hence the model's behavior when data = 0.5 is repeated.

A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods. It is not so unlikely with a higher

@@ Line 9: / Line 9: @@
 Putting in 0.5 leads to a situation where the measurement does not provide information.  In this case the state posterior PMF converges to the "equilibrium distribution for the Markov chain," which is the unique PMF which is unchanged by the prediction.  In our case this PMF is heavily weighted to STUCK.  Note that if you run a simulation most of the time the channel is STUCK (because it is easy to get into this state but hard to get out).  In the absence of any information your best guess is STUCK.  Hence the model's behavior when data = 0.5 is repeated.
-A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods.  It is not so unlikely with a higher
+A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods.  It is not so unlikely with a higher noise level = 1.
 [[Media:Lab_T.pdf|A bonus problem for Lab T.]]  Can you spot the problem in the answer for this Bonus Problem?

@@ Line 15: / Line 15: @@
 == Today's Lab ==
-Todays lab is the first Channel Builder Tutorial (Creating a channel from an HH-style specification) linked from [http://www.neuron.yale.edu/neuron/docs/chanlbild/main.html here].
+Today's lab is the first Channel Builder Tutorial (Creating a channel from an HH-style specification) linked from [http://www.neuron.yale.edu/neuron/docs/chanlbild/main.html here].
 '''Homework:''' Do the experiments in the tutorial, for each one copy and paste the response (voltage versus time trace) into a Powerpoint and send to me.
 Warning: I found the directions tricky, so be careful.

@@ Line 15: / Line 15: @@
 == Today's Lab ==
-Todays lab is the first Channel Builder Lab located at the first link [http://www.neuron.yale.edu/neuron/docs/chanlbild/main.html here].
+Todays lab is the first Channel Builder Tutorial (Creating a channel from an HH-style specification) linked from [http://www.neuron.yale.edu/neuron/docs/chanlbild/main.html here].
 '''Homework:''' Do the experiments in the tutorial, for each one copy and paste the response (voltage versus time trace) into a Powerpoint and send to me.
 Warning: I found the directions tricky, so be careful.

← Older revision		Revision as of 15:37, 14 April 2009
Line 15:		Line 15:
	== Today's Lab ==		== Today's Lab ==

−	Todays lab is the first Channel Builder Lab located	+	Todays lab is the first Channel Builder Lab located at the first link [http://www.neuron.yale.edu/neuron/docs/chanlbild/main.html here].
		+
		+	'''Homework:''' Do the experiments in the tutorial, for each one copy and paste the response (voltage versus time trace) into a Powerpoint and send to me.
		+
		+	Warning: I found the directions tricky, so be careful.

← Older revision		Revision as of 15:29, 14 April 2009
Line 12:		Line 12:

	[[Media:Lab_T.pdf\|A bonus problem for Lab T.]] Can you spot the problem in the answer for this Bonus Problem?		[[Media:Lab_T.pdf\|A bonus problem for Lab T.]] Can you spot the problem in the answer for this Bonus Problem?
		+
		+	== Today's Lab ==
		+
		+	Todays lab is the first Channel Builder Lab located

← Older revision		Revision as of 15:24, 14 April 2009
Line 11:		Line 11:
	A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods. It is not so unlikely with a higher		A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods. It is not so unlikely with a higher

−	[[Media:Lab_T.pdf\|A bonus problem for Lab T.]]	+	[[Media:Lab_T.pdf\|A bonus problem for Lab T.]] Can you spot the problem in the answer for this Bonus Problem?

← Older revision		Revision as of 15:00, 14 April 2009
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	A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods. It is not so unlikely with a higher		A datum of 0.5 is very unlikely for INoiselevel = 0.01 and leads to huge negative log-likelihoods. It is not so unlikely with a higher
		+
		+	[[Media:Lab_T.pdf\|A bonus problem for Lab T.]]