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00:02 This is cellular neuroscience lecture 12. I wanted to point out the articles

00:08 are located in your supportive lecture reading . And when we discuss voltage sensitive

00:18 , we said that these are the that you can apply onto the tissue

00:23 then they will embed themselves into the number. When you look in this

00:28 , it talks about genetically encoded voltage , genetically encoded voltage sensitive dyes.

00:39 the figures that we cover at great in this article is for example,

00:44 one the spatial scales and levels. I could for example ask you a

00:51 very detailed question about something in this . And that would be a fair

00:59 question that you may have to reread figure legend. You may have to

01:04 the paragraphs that introduced this figure and about this figure to really answer

01:11 Well, in general, I wanted briefly talk about both of sensitive

01:19 We said there are those that you on the tissue and those dies embed

01:23 . And then there are those that be genetically manipulated. And a big

01:31 of imaging the voltage. And in if you are going to image the

01:35 that you have to have very fast temporal resolution, remember we talked about

01:42 the spatial resolution is. How many from megapixels you may have in the

01:48 . I that is taking picture of outside world and the more pixels you

01:54 , the better spatial resolution of that you have. And when you're talking

02:00 imaging something over time or imaging the of activity. then you're talking about

02:09 resolution, how fast can you sample images? They think I mentioned that

02:15 a typical iPhone cameras are sampling about frames per second. That means whatever

02:23 happening in that one second, it have 30 windows, 30 images of

02:29 ongoing activity. And as you learned the first section neurons are very

02:39 They're so fast that they can produce action potentials in one second, a

02:45 sound. So when we talk about sensitive dyes and when we talk about

02:52 the fact that voltage you're tracking these dyes react to voltage in a

03:00 very fast manner. This is a advantage of voltage sensitive dyes but the

03:06 by which you can pick up precisely formation of these waves and the spread

03:18 temporal spread of these waves. Now are talking about having to have

03:23 very fast cameras. And so this also a big advantage of both of

03:31 dioceses that you can pick up very activity in addition to dies at a

03:39 to voltage that are also dies that ion sensitive dyes. So there are

03:45 sensitive dyes, their sodium sensitive There are potassium sensitive dies. There

03:53 neurotransmitter sensitive dies, they will be at the flux system increases in neurotransmitter

04:00 released and optically. And so this a big advantage of voltage sensitive dyes

04:08 to properly image, it would need have very expensive pieces of equipment cameras

04:14 microscopes or microscopes, it depends on level you want to image to properly

04:23 the neuronal activity in neuronal network So you can also see that there

04:31 diverse experimental setups for voltage imaging you some instances may have a mini scope

04:44 is mounted on an animal's head and animal is what is called free

04:52 So you can perform these types of imaging experiments in evil. You can

05:01 it on living animals, not just animals. And if you have a

05:09 enough technological setup in the lab and small enough camera that you can mount

05:18 an animal's head and measure what is on the cortical surface, what activity

05:24 happening while this animal was awake This is a really neat way of

05:32 it. Of course you can also optical fibers into specific brain regions to

05:41 specific activity. In this case, fibers would be very important if you're

05:48 to sample activity deep and optical fibers have an advantage and a disadvantage and

05:58 . So if you wanted to image macro view of the cortex active

06:03 you'd have to take out a big of the skull. In some instances

06:10 may be able to shave the skull such thin layer that it is actually

06:18 translucent. Now, these are the where there's a genetic allele genetic expression

06:27 coded dies because you don't have to anything on the brain tissue. But

06:33 you're talking about applying dies like chemicals embed themselves in the plasma membrane,

06:39 you have to open the skull. fibers allow you to penetrate a small

06:45 into the skull other than the large . But the disadvantages of course you

06:51 have to penetrate the fiber through potentially cortical layers. If you want to

06:56 at the activity of the hippocampus. finally, if you have a microscope

07:05 you have our hippocampal slice and our graham, it'll sell circuit. Then

07:10 can zoom in into these parameter cells have really nice high magnification functional imaging

07:19 you can get to a single cell using microscopes. So this is

07:26 a versatile technique. It's great spatial resolution from in vitro to viva optical

07:37 , genetic expression, chemical application. this is a good article where you

07:45 remind yourselves of these subject matters that talked about. And this might be

07:54 a good figure for example, to you some questions about or related to

07:59 . Now, the the other article we that we discussed was was this

08:06 and we discussed this article in relationship external and dendritic recordings. Uh you

08:17 maybe you saw some of these figures we talked about spike timing dependent

08:25 But there's some concept here of target specificity of frequency dependent synaptic transmitter released

08:32 parameter cell terminals. This for example something that we talked about short term

08:39 . So an increase in the post response during the high frequency stimulation.

08:46 right. So there's there's a lot images here. But these are some

08:51 the images for example that we talked because we discussed This is a matter

08:58 sensory cortex here. At least amount sensory cortical fibers is C2 whisker experiment

09:07 discussed the maps of activity that you . It gets into greater detail so

09:14 can see how extensive this article and studies are. Ah So I don't

09:22 if I can ask you a lot questions about about this article but there

09:31 be on some of the figures and is quite extensive and it is relatively

09:39 but also cellular cellular neuroscience driver. it could be an especially this circuit

09:49 example, some matter sensor circuit that discussed. Um Just review that because

09:56 is a good labeling questions that that always come up. Mhm. And

10:04 we talked about voltage sensitive dye we talked about the Samata Toppy in

10:12 amount of topping means that there is point by point representation of some matter

10:20 map of the body and head and map that is encoded in the

10:26 This is what's the matter topic This is so matter topic map that

10:32 is a map of the hand and map off the off the lips and

10:39 in some matter sensory cortex and in . The map that takes up a

10:47 of the space a lot of the . Um Matter is the map that

10:53 dedicated to the whisker pad. So is a a Samantha topic matt a

11:01 of the whisker pad and the periphery the level of the primary somatosensory cortex

11:09 . S one primary somatosensory cortex. brushes is the debris map that is

11:17 by a barrel. So we have barrel cortex here and as you can

11:22 this this barrel cortex is the connectivity goes through the trigeminal nerve ganglion and

11:33 eventually through other tissues into the primaries matter sensory cortex. So we talked

11:40 how you can block the activity or can manipulate activity and how you can

11:46 how there are changes in the maps this activity. Okay, so if

11:54 can dig up this article and I be able to find it. It's

11:59 long range connectivity of mouse primary somatosensory cortex. I will upload this this

12:06 so that you can have these figures then we can maybe remind ourselves one

12:10 time about it on Wednesday. so voltage sensitive dye imaging. We

12:19 talked about other types of imaging calcium and we talked about the fact that

12:29 neurons will be drawing blood that blood contain and carry oxygen and nutrients to

12:37 active brain centers. And as neurons more and more active and fire more

12:44 more action potentials, they actually There are so much swell and as

12:52 Osama swell, if you were to the light on them, the reflective

12:59 of a thicker neuron versus thinner neuron be different. And so these reflective

13:09 are can be detected by using intrinsic signal image ng. And you will

13:18 it will these this stride cortex will a lot more sense Following the next

13:27 or 2 1/2 or so. But is a structure in the cortex of

13:33 primary visual cortex area if you These tribes represent activity and neurons that

13:41 processing activity from only one eye. these tribes are called ocular dominance

13:49 And so this illustration showed us that have first of all very extensive microvascular

13:56 and if you look within the brain have these micro vessels that only separated

14:03 distance. One micro vessel into connection another is 50 micro meters in

14:09 So it's penetrated throughout neurons. And you can visualize the activity, You

14:16 visualize the blood flow and you can activity. First of all using intrinsic

14:21 signal imaging. So if you were stimulate only one eye and you look

14:27 the primary visual cortex you would see beautiful stride lines that represent neurons that

14:36 responding to the signal from only one . And you don't need any

14:42 Now is it as fast as So are these processes like calcium and

14:48 not as fast. A lot of signaling in the brain is done by

14:57 . So are we measuring leo Are we measuring neuronal calcium flux?

15:05 there are actually two temporal resolutions? calcium neuronal calcium fluxus and gets neutralized

15:13 fast. Will calcium? It's slow leo calcium waves as specific glial calcium

15:22 are seconds in length. So you then if you had a really good

15:29 you could say that you want to really fast optical activity are really slow

15:35 activity or I'm gonna collect it at fast speeds And then I'm going to

15:39 a filter just like you can filter activity, you can filter optical

15:46 So then these processes such as blood . Are they as fast as

15:55 They're even slower. So you're talking hundreds of milliseconds to seconds, maybe

16:05 minutes. We have a significant change the blood volume flow and that is

16:13 in the oxygen and that is reflected the swelling? This may take

16:18 Yes let's say between neurons and so . Is it because of the the

16:28 that there are different receptors or is because of like this incident by the

16:34 from the signaling is more faster. because of the function you will find

16:41 of the calcium in neurons per synaptic and it's both educated calcium channels that

16:48 fast and you will find the other of calcium is from under plasmid

16:55 Um So you would see these rises internal calcium flux is and neurons so

17:02 would be a little bit slower. on the other hand are it's it

17:12 active calcium transport but it also has passive um concentration gradient dilution of calcium

17:23 if there is a local rise. will slurp it up and slowly just

17:27 with potassium and and in the cases excitation we will produce the slow calcium

17:35 . So it's just the two different dynamics really. And I believe that

17:46 and those glial calcium waves will be spatially specific when you're talking about synapses

17:55 both educated calcium channels in particular. it will be less spatially specific because

18:01 inter connectivity glial cells have a lot gap junctions to um So it's a

18:08 a very good questions but there's definitely different temporal scale. So now when

18:14 talking about oxygen, you're talking about swelling, you're again on a much

18:21 scale. So if you had a great equipment ideally you want to have

18:29 objective or a lens that gets you down to single cell level or two

18:35 cell level. And also gives you bit of a macro view and gives

18:42 an option to do it really fast then post experiment gives you an option

18:47 process different frequencies of whether it's fast movement slowly. Onek movements like slow

18:54 waves, really slower processes related to flexes and the blood flow.

19:04 so there is uh the resting activity vary. So when we talk about

19:14 in the past, we said, look at this map of activity.

19:18 a person is reading a book, have the occipital lobe lighting up where

19:23 person is listening to words, who have the temporal lobe light up when

19:29 person is speaking words and you have broker area motor cortex light up.

19:36 what is addressed resting activity? What the sentinel ST resting activity might very

19:50 from moment to moment, a person person. And activations associated with behavioral

19:55 would be superimposed on this random So when you're looking at any activity

20:04 general, when you're looking at either activity recordings or optical activity recordings,

20:13 lot of times you will have background you have to be able to either

20:20 out that background and think of it insignificant because you're trying to pick up

20:25 circum stimulus in certain response or you to consider that ongoing background this resting

20:34 of activity. This ongoing background is that's important. That's a history.

20:40 if something happens, that's something the will build upon, the history of

20:48 activity at this resting state your your brain regions might be having individual

20:57 . So, however, this does seem to be the case when a

21:01 engages in a perceptual behavioral task, are decreases in the activity of some

21:07 areas at the same time that tasked brain areas become more active. One

21:14 above the decreases and increases in activity related to the task. For

21:20 if a person is required to perform difficult visual task and ignores irrelevant

21:26 we might expect the visual cortex to more active and the auditory cortex less

21:33 . This is suggesting that the activity the maps of activity are constantly

21:40 dependent very much on the importance or attention to what you are performing or

21:48 task that you're performing at that Two further observations suggest that there's something

21:55 and significant about the wrestling brain First, the areas that showed decreased

22:02 compared to the resting state are consistent the nature of the task has

22:10 it appears that the areas showing decreased during behavioral tasks are always active at

22:18 and become less active during any So this is the figure that talks

22:25 this default mode of network from nine . D. T. Or pet

22:33 studies and we'll talk about pet and a second, summarizes data from experiments

22:41 nine different tasks involving vision, language memory. The blue and green patches

22:46 the figures show brain areas which activity from the resting state when humans engaged

22:53 any of the nine tasks. So the particular task does not seem

22:59 account for the activity changes. the patterns in the brain activity changes

23:04 consistent across human subjects. It's not subject, one brain. These observations

23:11 that the brain might be busy even the state we call arrest, that

23:16 resting activities are consistent and that these are decreased when the task is

23:24 So in the figure of data from , the of these P.

23:29 Imaging studies involving different behavioral tasks were to produce these lateral and medial views

23:35 the brain. The brains have been inflated, so activity in the south

23:41 can be seen. Brain areas are blue and green were more active during

23:47 rest periods and during the behavioral So that's quite significant. So we

23:58 uh from neuroscience in the past that are these association areas and association areas

24:06 the place where different information for different such as listening or seeing,

24:16 feeling, touching, whatever they all put together. So this almost suggests

24:24 potentially these areas become more active a and the less active during the direct

24:38 stimulation of a defer of either distinct concurrent sensory pathways. So now this

24:51 imaging and this imaging also shows some the structures individual cortex And it talks

25:00 in Vivo two photon calcium imaging lets see activity and thousands of neurons with

25:08 cell resolution. So we're still talking some of the principles of imaging we're

25:14 talking about here. Although this refers the ah visual cortex and the structure

25:22 visual cortex will come back to it the next hour. But this particular

25:29 okay, essentially allows you to get down to single cell resolution

25:40 And what technique is that? It's photon microscope. So it's not just

25:46 regular microscope, you may need to to two photon microscopy level. It's

25:53 very powerful microscope, very expensive, over $1 million dollars and if you

26:00 it fast probably a million and a or two sometimes even before with all

26:06 bells and whistles. Typically universities would coupled to a few of these setups

26:14 different imagery in different cells, not in brain cells. Okay, so

26:22 section basically that we talked about just pretty much covered the levels of imaging

26:32 how you can get from sub cellular the way to macroscopic with techniques.

26:38 some of the things tools that you consider in doing that if you were

26:43 engineering? Obviously you know you start about these things too. Ah Well

26:51 there a better way to image? Are there other tools there are other

26:59 that we won't have time to You can actually activate neurons with the

27:06 that are called option molecules that are channels you can activate open and close

27:14 channels with lasers and light in the that we haven't talked about But there's

27:21 techniques here. But I think this a pretty good overview of what you

27:25 do with experimental neuroscience techniques. Now the imaging that we talked about the

27:33 imaging. We typically talk about how got my X rays done at the

27:39 office. That's the most common type static imaging. That's non functional imaging

27:47 we're all very familiar with. And dentist office uses it for a reason

27:55 X rays are very good for imaging , bones tissue and the difference between

28:01 soft tissue and the bone tissue that something abnormal with the soft tissue.

28:05 may show up as well through Ah The dentist's office is also a

28:13 example because now they have these rotating rays so they take they rotate around

28:23 jaw and they give you a really three dimensional image of your job.

28:30 and maybe even 10 years ago you be able to do that. Typically

28:39 would have a few pictures taken. pictures would be developed and then it

28:45 take some time maybe a day and they would have the the images.

28:49 very computerized Now it's very fast. that thing that you're here in the

28:55 is C. E. T. or M. R. I.

28:59 sometimes pat but not as often. if you hear cT scan that's commute

29:06 tomography. And it's essentially multidimensional X . It's still static imaging. It's

29:15 lot more sophisticated than that dentist setup going around your jaw. In this

29:22 you pretty much have a 360° axis rotations or slices. So if you're

29:30 about the brain here to hemisphere okay go down. This is the

29:39 of the great, you're talking about tomography. It's often referred to of

29:50 many slices and a lot of times wanna focus in on some structure and

29:57 just image the whole thing because you that there is maybe pathology and that

30:04 wanna image that pathology. And so would be referred to as as slices

30:10 plans and you can have hundreds of slices of planes that we rode a

30:20 that will image at every possible angle structure of the intros. And we're

30:29 about 100 256. And the resolution ct scan that you get is maybe

30:38 100 micrometers. So you would never course get any single cell resolution.

30:47 it's very advanced computer tomography is that produce this 100 micrometers and typically it's

30:56 on the water of centimeters. So but it is still an X ray

31:10 technique and emery you typically hear magnetic imaging. Mhm. For us the

31:21 important thing is when you do an . R. I. You can

31:24 either M. R. I. M. R. I or

31:27 M. R. I functional R. I. The regular MRI

31:31 functional MRI both. There's no X use for in general for functional

31:39 R. I and for pat or emission tomography which is described in the

31:45 slide. You're monitoring these slower processes blood flow, brain metabolism, let's

31:54 consumption of oxygen, consumption of M. R. I. You

32:00 a hydrogen atom has one proton. bounces between high and low energy state

32:08 this bouncing between high and low energy . The frequency of which bounces which

32:15 state protons absorb energy is called the frequencies. So that's where the resonant

32:21 of the uh magnetic residence imaging comes . The magnetic part comes in that

32:30 actually surrounded by a magnetic coil that very powerful And the more powerful the

32:42 , the more of a spatial resolution can achieve. And often the MRI's

32:52 be labeled as two T, three five t 70. That refers to

32:59 strength of the magnet. The more or Tesla has had, it has

33:03 stronger as the magnet. The stronger the magnet, the more of the

33:12 matters you have to take around It has a very very solid

33:18 Typically they're placed in the basements or floors of the buildings. If there's

33:24 basements and of course anything that is should not be in the vicinity of

33:32 equipment because it is a powerful magnet you turn it on So it takes

33:40 the radio waves that are admitted by and it allows to image oxy hemoglobin

33:53 deoxygenated hemoglobin ratio. When the brain become active, hemoglobin molecule will carry

34:05 oxygen. And in this case if have oxygenated hemoglobin flowing through the blood

34:14 this mask, micro vasculature, not of it is being used and its

34:20 are not very active. But the neurons become very active, they start

34:27 oxygen and they start d oxygenating or human myoglobin. Ating they start eating

34:37 the oxygen from hemoglobin molecules and you now a much greater ratio of deoxygenated

34:47 molecules that you're tracking. So you're measuring the ratio of oxygenated versus deoxygenated

34:59 with FMR in positron emission tomography, also similar type of oil,

35:10 The subject will be laid into for , but typically you have radioactively labeled

35:18 with possibly charge ions and bloodstreams. have protons and electrons and emit electromagnetic

35:26 photons of light that gets picked up the coils and then pat you're looking

35:33 glucose consumption. So you're tracking in to de oxy glucose levels. So

35:43 techniques again, they're great because they us these macro Views of off the

35:51 when I talked about going down specifically cm while you are going down to

35:58 specific level. then just macro hold of the brain and brain activity and

36:05 can get down with F. R. I. To about cubic

36:12 area that will be essentially representing whatever cells of the network of cells or

36:19 circuit is. And that cubic So if you picked up this is

36:27 cubic centimeter, This is one cm is 1000 micro meters. Mhm.

36:45 lives however many 10 micrometer, neurons cells live, it's what's going to

36:54 represented but it is going to be , slower functional, not nearly as

37:04 as the other dies if we're talking . And there's a lot of very

37:10 expensive and long post processing that is with that too. Post processing,

37:18 that you really have to clean up images, run them and understand a

37:25 of it is still the subtraction before after. If you're doing stimulus or

37:33 when you're doing functional energy, you to look at the function. If

37:37 looking at C. T. you want to look at the

37:41 you can get a high resolution without to function as well in a different

37:47 to understand it better. Maybe. inevitably, if you're looking at the

37:52 , these are the two clinical techniques will be available for for this.

38:01 , so this concludes our imaging section the course and you can find this

38:08 , you know where and I'm gonna into your Mhm lecture materials. Our

38:29 notes, he's on the visual system it talks about visual system. three

38:43 Because it's all three lectures in one students. But don't worry, I

38:55 uh I'm not gonna rush through it . But I think that some of

39:03 may find this not so difficult, if you haven't seen it before.

39:09 the whole point is that the life into the retina, Life comes into

39:16 retina. So when the live penetration the retina, we're gonna understand this

39:22 system because we understand the cellular components understand the network components of the visual

39:30 . And it's a great example of sensory system. So if you haven't

39:37 a neuroscience, 43, 15 ports again, don't worry because this is

39:43 great Way to understand one sensory And you already looked at some matter

39:52 system which is somatic sensory system, . It was quite simple here.

39:56 has a whisker pad, the rose numbers of whiskers. And then you

40:00 this barrel cortex and each barrel is from one whisker. And I can

40:05 the activity of whiskers with all of beautiful imaging techniques inside the brain and

40:10 cortex to see how the barrels interact and so on and so forth.

40:15 now when we talk about the visual , the information which is the

40:21 different wavelengths of light will come into retina and it will actually activate these

40:28 receptors. This photo receptors are part the neuronal network and the retina and

40:37 photo receptors are connected to the bipolar and bipolar cells are connected to ganglion

40:44 and the ganglion cells will form the nerve that will exit out of the

40:50 . And there are certain features in shape of the retina and how this

40:57 of cells is distributed throughout the central the peripheral retina, particular in the

41:05 of the retina, directly in the of light, directly in the path

41:10 light or what we would call direct rays of light, directly in the

41:16 of light through the lengths the light in to the back where the retina

41:22 located in the back of the directly here in the center you have

41:28 area that is called the phobia. this phobia is interesting because you have

41:35 like a crater and that crater or a little cup that directs as much

41:41 possible of that beam of light into very center After that. And of

41:48 you constantly move your eyeball. And if you want to focus on something

41:53 great detail, you'll always place your in the direct access into the phobia

42:01 those rays of light to come in right beneath. You also have great

42:06 and concentration of comb photo receptors and cone photoreceptors, there's two types of

42:16 , cone and rod photoreceptors. And the cone photoreceptors is dominating in the

42:23 retina and they're responsible for the color and they're responsible for high acuity high

42:33 vision. That's where they're dominating the receptors that are more concerned with the

42:39 vision or dark vision are also located on the periphery. Now the circuit

42:47 such that the photo trans duck When the rays of light and the

42:52 of light hit the photo receptors, will transducers convert that signal okay into

43:04 electrochemical response in the photo receptors. this is the live molecule. And

43:13 have a road option pro day in and this road Dobson protein changes to

43:22 when the light strikes it and activates tropic cascade G pro dam transducer isn't

43:31 it is active, it activates fast dia stories. Remember kindnesses of hospital

43:39 , possible diaspora race. We'll turn cyclic GMP into GMP. And when

43:49 convert cyclic GMP into GMP, you the sodium channel So functionally this is

43:57 happening that when the light strikes and you have the stimulus here you actually

44:04 the flux of ions. It's kind the opposite of what we've been learning

44:09 you have the stimulation and a stronger as strongly as the response here you

44:14 a reduction with the response in the of life. So these normal levels

44:20 cyclic GMP are necessary in order to this sodium channel over. But when

44:27 have light activating you have the conversion C. GMP into GMP. And

44:33 close the sodium current. So within circuit where I was mentioning to you

44:41 have the photo receptors or bipolar cells ganglion cells. There's some interesting features

44:48 the circuit. So first of all receptors is where this conversion of photo

44:54 will take place and then that the change in the membrane potential will

45:02 communicated to the bipolar selves. And bipolar ourselves. And this is all

45:08 at synoptic potentials. So these are or sensory potentials, receptor potential sensor

45:18 . They're all graded and these bipolar will communicate information to the ganglion cells

45:25 retinal ganglion cells and retinal ganglion cells produce action potentials. And retinal ganglion

45:32 is the only output from the retina the higher order visual processing centers.

45:41 the only axons that come out of retina are for retinal ganglion cells and

45:46 only cells that can produce action for Schultz I retinal ganglion cells when you

45:56 about exposing or beam of light shining on the retina, not all beams

46:02 light going to the center of the because you have a field of view

46:08 most of the focus in the field view in your eye is in the

46:13 as you move the eyeball there's significant in the periphery that we always

46:19 Maybe not always consciously aware. We have a blind spot. That's where

46:25 of the fibers that form the optic exit out of the retina. That's

46:32 we have a blind spot. But you seen your blind spot lately?

46:38 other words, when you look at solid wall of green color, do

46:45 see these spots that are missing from eyes? You don't because you actually

46:50 in for two. So uh you see these blind spots but these beams

46:59 light are striking the center of the because you're moving to it. There's

47:04 beams of light that are striking a bit away from the center of the

47:09 . There's activation in the periphery. maybe shining a flashlight on the periphery

47:14 that activation happens first before you turn head and refocus onto that beam of

47:22 . So you have activation. And these beams of light, let's say

47:26 shining a flashlight and you have the to produce a small beam of light

47:31 that flashlight. Even in the very , just activate the cones. You

47:36 shine a little bit of off you can shine a little bit here

47:40 the periphery of the retina. Every you do that or every time there

47:44 a visual stimulation in the retina you activate hundreds tens or hundreds of these

47:52 soft drugs. Okay And 10 or of these photo receptors will encode information

48:00 a point by point representation. It's retina topic map. So when there

48:06 a space and a point in space the piece of retina is looking at

48:11 will be processed. And this is receptive field property. So the receptive

48:19 properties in the retina such that you some on center ganglion cells. And

48:26 have off center ganglion cells. That that these collections of the photo receptors

48:33 on center ganglion cells when you stimulate very center, okay when you stimulate

48:41 very center of that, mm So there's a patch of red

48:57 There's a whole bunch of these little a photo of herself trips and the

49:10 this will take a lot millions but just don't want to leave it

49:21 Smaller. Oh and then it received stimulus in one color and this stimulus

49:48 other color and the stimulus and the color and the stimulus. This is

49:52 coming onto the. But underneath these of light you have collections of the

49:59 receptors and it turns out that within collection of these photoreceptors, the on

50:07 ganglion cells are the ones that are . If you shine a beam of

50:12 . This is not an electrode. just a beam of life in this

50:16 activating this area. The south that located here. The photoreceptors and the

50:22 underneath the bipolar cells of the retinal cells will produce the most action

50:30 But if you produce another beam of coming from somewhere else. And that

50:37 of light where to activate the surrounding then you would produce very diffuse any

50:48 potentials during the same stimulation. And is what is shown in that

50:54 Conversely there are collections collections of these receptors that if you were to shine

51:02 light on the periphery here on the instead of the center you would produce

51:14 most action potentials response from the underlying in the retinal ganglion cells. But

51:21 you were to shine the light here the on in the central zone again

51:27 wouldn't produce much of a different level the actual potential fire. And so

51:33 level of the rat and the the of these photo receptors are subdivided into

51:43 on and off all and off. And for us collections of cells elections

52:04 these photo receptors to communicate that information bipolar cells communicate that information to gangly

52:11 which produce action potentials and put the encode that information to be processed.

52:18 huh. And the whole retina is processing this luminescence in these center surround

52:37 the entire reckoning this will take a to but I'm just filling in our

52:48 so this is this is what this is that you have certain cells in

52:53 center and if you activate these collections cells in the retina and it's on

53:05 ganglion cells that means the ganglion cell connected to the network of photo receptors

53:11 bipolar cells that when it's in the of that center surround these are just

53:19 properties of their self the fields. this is a matter sensor system Receptive

53:25 for the whisker in the cortex was barrel. That's the receptive field.

53:34 the field for the visual stimulus of by point representation activated or peripheral

53:43 Here it's comprised of all of these fields that are going to take that

53:50 or break it down into the center on and off processing is luminescence.

53:56 I always say that if you were take and hook up a computer to

54:00 retina, what you would see is is what you would see the very

54:06 . You take a Photoshop image and it out and you just saw darker

54:13 lighter and it was someone in the fashion, pixellated circular fashion. That's

54:20 threatened the processes. So if you out just information from the run,

54:27 there's a lot of details and they into the way the cell circuit

54:36 Um Don't be scared of these details some of them are very familiar to

54:43 the neurotransmitters that the photoreceptors release of but we talked about. I wanna

54:52 and metabolic tropic signaling for glutamate and bipolar cells it turns out the on

55:00 bipolar cells have the better but tropical receptors. And the off center bipolar

55:07 have I am back in it wait minute. I on a topic with

55:12 METs receptors and that's important because I a tropic versus medical tropic. They

55:20 have opposing actions are synaptic physiological cellular actions plus Sinatra. So when

55:29 talk about for example glutamate activating apple . We we know that when glutamate

55:36 downpour suffering produces gps speed. D the cell. So glutamate deep polarization

55:44 this cell will release glutamate and the of glutamate will de polarize the off

55:53 . So and you'll understand why it's off center. So because what happens

55:59 the lights too, the photo receptors hyper polarized instead of deep polarization and

56:08 stopped with a make movies. So lights would stop glutamate release in this

56:16 . But the synopsis, this is and if it is excited, releasing

56:23 will excite bipolar salad will like set central ganglion cells. But the cell

56:30 has measurable tropic receptors if it receives it will actually get inhibited because through

56:38 tropic mechanisms that hyper polarizes the So glutamate here the synapse plus stein's

56:47 sign conserving, meaning that if this D polarized glutamate is released this is

56:51 polarized sign inverting synapse means that if is D polarized photo receptor and releases

57:01 . It will not be polarized bipolar hyper polarized. That's why it's called

57:09 vernon symptoms and then bipolar cells will released in glutamate and at the level

57:15 the ganglion cells you only have The of tropic, ample, chaotic 98

57:21 receptors that will communicate that information. now you understand that the same photo

57:28 could be looking at the light or of light release of neurotransmitter, absence

57:34 neurotransmitter and linked to two types of cells. So I don't want you

57:41 know all of the details of the but do pay attention that there are

57:45 types of bipolar cells. And by either in the tropics signaling, it

57:51 one thing, it's signed, conservative tropic is signed inverting and now you

57:58 see how the same light but in different bipolar cells that converge on the

58:08 photos chapter in the presence of why they have the same effect for opposite

58:18 in the presence of darkness will have effect, the opposite effect. But

58:22 will always fluctuate between this sound conserving , inverting of deep polarizing and hyper

58:27 effect. The graded potentials until you polarize the ganglion cell enough to produce

58:33 action potential. Remember we talked about inhibitory rules how you can have the

58:42 inhibition feed forward inhibition lateral inhibition. in the circuit here, when the

58:52 deep polarization in the photo receptors something glutamate. They're linked to these horizontal

59:01 uh and horizontal cells. There are types of cells that are in between

59:06 cones bipolar cells and retinal ganglion the horizontal cells and the american

59:13 We're talking here about horizontal cells horizontal if you release glutamate on horizontal Sao

59:20 Gaba ergic south. So that horizontal it's also connected to other horizontal cells

59:28 gap junctions. So if you release and you excite one horizontal cell that

59:37 cell will excite other horizontal cells. this horizontal cell has a negative or

59:46 inhibitory loop onto the photo receptors by gaba um inhibiting the activity. So

59:55 the dark actually the photoreceptors are d and they're releasing glutamate and so in

60:05 dark they do polarized releasing glutamate and constantly activating the inhibitors house and inhibitors

60:13 or keeping a certain level of excitation these photoreceptors. So um horizontal cells

60:23 area of retinol elimination releases Gaba and . Control of cone glutamate release.

60:32 can think of it. It's controlling . It's also if it is activated

60:37 gap junctions that can kind of eliminate areas. Exide broader areas but can

60:46 sculpt the spatial specificity of this because you excite nearby cells that are don't

60:56 excited photo receptors will inhibit those federal and the ones that you're excited.

61:03 gonna be excited for awhile until you this negative feedback began to. So

61:09 sculpting in its space and as in and time again inhibition when we learned

61:15 it the diversity of that inhibition the of the action potentials. It's all

61:22 sculpting the output of the parameter all between the hippocampal regions In this case

61:28 about sculpting the spatial temporal specificity of information for the major output which is

61:36 retinal ganglion cells going into the You have at the level of the

61:45 . You have two types of ganglion not just by the receptive field properties

61:51 also by their other properties, morphological but are also reflected in the size

62:00 the receptive fields of receptive fuel Ah parvo and magno and non empty

62:09 . They're functional and anatomical subtypes of ganglion cells and the major output going

62:15 . The T cells are small. have small receptive fields because they have

62:21 small processes that can interconnect with with circuits above them. The bipolar and

62:31 photo receptor circuits have slower conductance. less sensitive to low contrast. So

62:40 less sensitive in the way animals. retinal ganglion sauce. They're fast.

62:45 conduct information in a very fast Uh And they are more sensitive and

62:57 are larger. You can think of larger receptive fields too because they would

63:02 these broader than victories that would gather from more areas in the right

63:10 So this is what's happening at the of the retina. And then the

63:15 thing that I was going to discuss you before we moved into the central

63:21 and pathways which is inhuman. I gonna talk to you about rodent

63:28 But from the retina that information goes the lateral ju Nicollet nucleus. The

63:35 nerve goes in goes into the lateral Nicollet nucleus here in the thalamus and

63:41 the lateral gene Nicholas Nicholas and the that visual information goes into the primary

63:46 cortex. So when we were looking the studies of the cortical activity using

63:52 of sensitive guys and welcome back to next lecture talking about the structure and

63:56 of the primary visual cortex. This where we're looking at, we're making

64:01 window on this primary visual information processes we're looking at. So today we're

64:08 of time when we talk about the of rhetoric. Nicholas mathlete actually is

64:16 graduate student work that I sloth through five years and had a lot of

64:27 learning electrophysiology doing these experiments. So tell you about it. It's a

64:33 simpler system anatomically compared to human For example human or ah primate,

64:46 cat LGN. Ortho columnists of Visual information has six players And in

64:55 you have two zones. It's a of and control idle zone and there's

65:00 lot of plasticity that happens during early . So we will recite some of

65:05 things like critical period of development plasticity the refinements from the early non specific

65:17 and function in this path list. very much adult like specific structure and

65:25 of these pathways. And then we look into the simple pathways into what

65:29 be a human like visual system. , thank you very much. I

65:34 let you guys know about the resolution the quiz questions, but also the

65:42 and time. The time will be the day. It's just the day

65:46 want to make sure I can confirmed thursday. Okay, thanks for

65:51

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