1 00:00:00,120 --> 00:00:01,800 The following content is provided 2 00:00:01,800 --> 00:00:04,030 under a Creative Commons license. 3 00:00:04,030 --> 00:00:06,880 Your support will help MIT OpenCourseWare continue 4 00:00:06,880 --> 00:00:10,740 to offer high-quality educational resources for free. 5 00:00:10,740 --> 00:00:13,350 To make a donation or view additional materials 6 00:00:13,350 --> 00:00:17,237 from hundreds of MIT courses, visit MIT OpenCourseWare 7 00:00:17,237 --> 00:00:17,862 at ocw.mit.edu. 8 00:00:22,420 --> 00:00:24,130 PROFESSOR: OK, most of the hour we'll 9 00:00:24,130 --> 00:00:29,240 be watching the first half of the video on chimpanzees, 10 00:00:29,240 --> 00:00:36,750 but I wanted to finish, revise, revise a little bit on motor 11 00:00:36,750 --> 00:00:40,210 learning to try to make it clear what I'm trying to get across. 12 00:00:40,210 --> 00:00:43,360 So let's just go through motor learning again. 13 00:01:00,920 --> 00:01:03,590 The acquisition of path habits I talked about, 14 00:01:03,590 --> 00:01:07,720 the main point here is the movements 15 00:01:07,720 --> 00:01:10,240 acquired independence from sensory input. 16 00:01:10,240 --> 00:01:13,250 So it's not that they're continually 17 00:01:13,250 --> 00:01:16,380 responding to things all along their path. 18 00:01:16,380 --> 00:01:20,080 If it becomes learned in the motor system, 19 00:01:20,080 --> 00:01:23,640 they just run it off like a fixed motor pattern. 20 00:01:23,640 --> 00:01:27,160 You remember when we talked about fixed action patterns 21 00:01:27,160 --> 00:01:31,380 in birds, the geese and ducks, the way you roll the eggs in. 22 00:01:31,380 --> 00:01:36,566 If you interrupt it, they just have 23 00:01:36,566 --> 00:01:38,940 to start all over again if they're going to do it at all. 24 00:01:38,940 --> 00:01:40,480 It's a single pattern. 25 00:01:40,480 --> 00:01:45,640 That's what this path learning amounts to. 26 00:01:45,640 --> 00:01:48,410 It becomes encoded in the cerebellum. 27 00:01:48,410 --> 00:01:52,320 OK, so, it's like when you recite something from memory 28 00:01:52,320 --> 00:01:54,090 or learn to play a musical instrument. 29 00:01:54,090 --> 00:01:55,960 You probably have all had the experience 30 00:01:55,960 --> 00:01:58,920 of you're reciting something and you don't quite 31 00:01:58,920 --> 00:02:02,140 have it learned perfectly, so you get stuck. 32 00:02:02,140 --> 00:02:04,300 And then, to remember it, you have 33 00:02:04,300 --> 00:02:09,150 to go back to the beginning or to some chunk, 34 00:02:09,150 --> 00:02:11,560 beginning of some chunk, before you can do it. 35 00:02:11,560 --> 00:02:13,990 That's because you've learned it. 36 00:02:13,990 --> 00:02:18,720 If you memorize something it often becomes motor learning. 37 00:02:18,720 --> 00:02:22,540 OK, so, and it acquires some similarities 38 00:02:22,540 --> 00:02:25,615 to the motor component of fixed action patterns. 39 00:02:29,580 --> 00:02:30,510 As I mentioned here. 40 00:02:30,510 --> 00:02:33,140 And then it gets very resistant to change. 41 00:02:33,140 --> 00:02:36,510 And perhaps most interesting is that in many cases 42 00:02:36,510 --> 00:02:41,850 it seems to acquire its own action-specific potential. 43 00:02:41,850 --> 00:02:45,250 That is, it requires a motivation for the animal 44 00:02:45,250 --> 00:02:47,890 to do it, or the person. 45 00:02:47,890 --> 00:02:50,680 It usually requires a lot of repetition. 46 00:02:50,680 --> 00:02:55,010 Like when you learn skills, sport. 47 00:02:55,010 --> 00:02:58,440 We talked about the difference in locomotion 48 00:02:58,440 --> 00:03:02,520 between these different ungulates 49 00:03:02,520 --> 00:03:04,710 and what sure-footedness is. 50 00:03:04,710 --> 00:03:07,660 It's an example of, the more sure-footed animals, 51 00:03:07,660 --> 00:03:11,230 simply, there's more separate elements 52 00:03:11,230 --> 00:03:13,950 in their action pattern. 53 00:03:13,950 --> 00:03:19,150 So more subject, we would say, subject to voluntary control. 54 00:03:19,150 --> 00:03:22,510 We can decide to use it. 55 00:03:22,510 --> 00:03:24,700 And so I've reworded this just a little bit 56 00:03:24,700 --> 00:03:26,975 to help you understand what that's all about. 57 00:03:35,670 --> 00:03:38,860 But I think it's clear enough with that. 58 00:03:42,720 --> 00:03:50,985 I wanted to add this about the exploratory-- sorry, what 59 00:03:50,985 --> 00:03:53,190 did I do here? 60 00:03:53,190 --> 00:03:55,410 Oh, this got out of place. 61 00:03:55,410 --> 00:03:57,580 OK, this belongs with the discussion 62 00:03:57,580 --> 00:03:59,260 of voluntary behavior. 63 00:03:59,260 --> 00:04:02,700 Animals that have evolved direct axonal projections 64 00:04:02,700 --> 00:04:06,580 from the neocortex to the motor neurons. 65 00:04:06,580 --> 00:04:10,470 There aren't all that many, but higher primates have that. 66 00:04:10,470 --> 00:04:12,360 Raccoons have it. 67 00:04:12,360 --> 00:04:13,330 A few other species. 68 00:04:13,330 --> 00:04:17,670 Then the unit of movement is just the digital movement. 69 00:04:17,670 --> 00:04:19,810 That's the smallest unit you can get. 70 00:04:19,810 --> 00:04:24,030 And animals that have that, like us, yes, we 71 00:04:24,030 --> 00:04:27,490 have voluntary control for individual digits. 72 00:04:27,490 --> 00:04:31,340 Someone can tell you, could you move just your little finger, 73 00:04:31,340 --> 00:04:33,480 and you could do it. 74 00:04:33,480 --> 00:04:36,390 We can't do it very well for the fourth finger, but. 75 00:04:36,390 --> 00:04:38,630 In general, we have that kind of control, 76 00:04:38,630 --> 00:04:41,000 but most movements are not that. 77 00:04:41,000 --> 00:04:46,090 We can't control just individual sets of muscles like that. 78 00:04:46,090 --> 00:04:51,400 Most movements we don't have that kind of voluntary control 79 00:04:51,400 --> 00:04:52,900 over. 80 00:04:52,900 --> 00:04:57,320 And that is true for other animals, of course, even more. 81 00:05:00,590 --> 00:05:05,310 And I mention here that I talk about these projections 82 00:05:05,310 --> 00:05:09,730 from motor cortex and the motor areas of cortex in a mammal, 83 00:05:09,730 --> 00:05:13,340 but if you talk about birds, they don't have a neocortex, 84 00:05:13,340 --> 00:05:15,330 but they have equivalent structures. 85 00:05:15,330 --> 00:05:18,110 Especially this hyperpallium region. 86 00:05:18,110 --> 00:05:22,430 And it becomes so well-developed in the more advanced birds, 87 00:05:22,430 --> 00:05:24,930 like the corvids, parrots. 88 00:05:24,930 --> 00:05:26,400 It forms a bulge. 89 00:05:26,400 --> 00:05:29,540 And they actually have a motor wulst, 90 00:05:29,540 --> 00:05:33,320 they have a somatosensory wulst, visual wulst. 91 00:05:33,320 --> 00:05:35,930 That's the equivalent of those areas. 92 00:05:35,930 --> 00:05:41,590 And they also have these direct projections to the spinal cord. 93 00:05:41,590 --> 00:05:45,110 I'm not sure if they go directly to motor neurons 94 00:05:45,110 --> 00:05:52,070 as they do in the higher primates, but that's possible. 95 00:05:52,070 --> 00:05:52,730 So OK. 96 00:05:58,510 --> 00:06:00,220 Although I reworded this a little bit, 97 00:06:00,220 --> 00:06:03,350 we talked about exploratory behavior and curiosity before, 98 00:06:03,350 --> 00:06:07,020 so I don't think we have to go through that. 99 00:06:07,020 --> 00:06:09,580 I just want to point out here in the functions of play 100 00:06:09,580 --> 00:06:13,730 he actually introduces what amounts 101 00:06:13,730 --> 00:06:19,120 to three additional types of learning. 102 00:06:19,120 --> 00:06:20,720 All learned in play. 103 00:06:20,720 --> 00:06:22,420 So they amount to a different kind 104 00:06:22,420 --> 00:06:25,150 of learning than learning in other situations. 105 00:06:25,150 --> 00:06:28,290 So I list them there. 106 00:06:28,290 --> 00:06:32,200 And then we talked about research on art and humans. 107 00:06:32,200 --> 00:06:35,730 But that's where we ended yesterday. 108 00:06:35,730 --> 00:06:39,130 You can go through all these different kinds of learning, 109 00:06:39,130 --> 00:06:45,910 and neuroscientists can relate them to specific structures. 110 00:06:45,910 --> 00:06:50,290 For example, the habituation and sensitization, 111 00:06:50,290 --> 00:06:52,290 these learning without association. 112 00:06:56,090 --> 00:06:59,765 It can even happen in spinal pathways. 113 00:07:02,650 --> 00:07:04,830 So all the sensory motor pathways 114 00:07:04,830 --> 00:07:09,940 can be subject to that kind of change. 115 00:07:09,940 --> 00:07:15,480 The other things of interest are the-- not 116 00:07:15,480 --> 00:07:17,910 just the cerebellar mechanisms for motor learning 117 00:07:17,910 --> 00:07:21,210 but for the simple habit formation, 118 00:07:21,210 --> 00:07:23,920 including avoidance responses learned through trauma. 119 00:07:23,920 --> 00:07:26,830 They involved the corpus striatum 120 00:07:26,830 --> 00:07:28,460 responsible for many habits. 121 00:07:28,460 --> 00:07:31,630 It's especially true of this type 122 00:07:31,630 --> 00:07:36,620 of learning affected by the consequences of behavior. 123 00:07:36,620 --> 00:07:39,610 And here's what we were going through before. 124 00:07:39,610 --> 00:07:42,880 But one more thing I wanted to go through in just a little 125 00:07:42,880 --> 00:07:43,390 bit. 126 00:07:43,390 --> 00:07:46,210 And that is another way to classify 127 00:07:46,210 --> 00:07:49,840 learning is to begin with the brain mechanisms. 128 00:07:49,840 --> 00:07:52,020 And here I just focus on the forebrain. 129 00:07:52,020 --> 00:07:55,070 I've not tried to do it for-- because we don't know enough 130 00:07:55,070 --> 00:07:58,830 really about the various kinds of synaptic mechanisms, 131 00:07:58,830 --> 00:08:00,740 various kinds of anatomical changes. 132 00:08:00,740 --> 00:08:02,300 This field is still pretty young. 133 00:08:02,300 --> 00:08:05,950 But we do know quite a bit about involvement of forebrain 134 00:08:05,950 --> 00:08:08,960 pathways and the kinds of learning they're involved in. 135 00:08:08,960 --> 00:08:13,540 So we can separate, then, learning object location 136 00:08:13,540 --> 00:08:16,980 in the sense of an egocentric localization. 137 00:08:16,980 --> 00:08:20,980 So if I glance at this group here, 138 00:08:20,980 --> 00:08:24,000 I can retain in my memory, at least very briefly, 139 00:08:24,000 --> 00:08:27,640 a working memory of where various things are 140 00:08:27,640 --> 00:08:28,520 in this room. 141 00:08:28,520 --> 00:08:30,270 In fact, some people can actually 142 00:08:30,270 --> 00:08:31,650 see it if they shut their eyes. 143 00:08:31,650 --> 00:08:32,240 I can't. 144 00:08:32,240 --> 00:08:33,850 I was talking to one of the students 145 00:08:33,850 --> 00:08:35,590 in this class about this. 146 00:08:35,590 --> 00:08:38,289 Probably 5% to 10% of you could do it. 147 00:08:38,289 --> 00:08:40,309 But you all have that ability. 148 00:08:40,309 --> 00:08:42,070 You could remember briefly. 149 00:08:42,070 --> 00:08:44,560 And we call that working memory. 150 00:08:44,560 --> 00:08:47,120 OK, the egocentric position, meaning 151 00:08:47,120 --> 00:08:52,120 where from the position of my head and eyes something is. 152 00:08:52,120 --> 00:08:54,650 The door's over there, and there I 153 00:08:54,650 --> 00:08:56,640 know that's a wall, so on and so forth. 154 00:08:56,640 --> 00:08:59,410 And some of these, even if I've seen it only briefly, 155 00:08:59,410 --> 00:09:00,380 I will retain. 156 00:09:00,380 --> 00:09:03,390 So that's a very simple kind of learning. 157 00:09:03,390 --> 00:09:06,020 And we know about the pathways involved in that. 158 00:09:10,180 --> 00:09:14,910 As for object identity, we know it's another kind of learning. 159 00:09:14,910 --> 00:09:18,880 But we also now have another kind of localization. 160 00:09:18,880 --> 00:09:21,870 Namely, allocentric localization. 161 00:09:21,870 --> 00:09:24,250 Where am I in this environment? 162 00:09:24,250 --> 00:09:25,640 Where am I in this building? 163 00:09:25,640 --> 00:09:26,890 Where am in Cambridge? 164 00:09:26,890 --> 00:09:28,630 And so on and so forth. 165 00:09:28,630 --> 00:09:33,220 And we're learning that all the time. 166 00:09:33,220 --> 00:09:35,660 And then I had listed other things, 167 00:09:35,660 --> 00:09:37,990 like learning and sensory motor coordination, movement 168 00:09:37,990 --> 00:09:38,490 patterns. 169 00:09:38,490 --> 00:09:40,830 That's easier to relate to the things 170 00:09:40,830 --> 00:09:43,580 that Lawrence is talking about. 171 00:09:43,580 --> 00:09:45,300 What about the formation of plants? 172 00:09:45,300 --> 00:09:46,740 That's a kind of learning. 173 00:09:46,740 --> 00:09:49,930 Because we're changing them all the time in our brain. 174 00:09:49,930 --> 00:09:50,690 OK? 175 00:09:50,690 --> 00:09:54,300 Involving prefrontal areas of the cortex. 176 00:09:54,300 --> 00:09:57,590 And then I go through this a little more, 177 00:09:57,590 --> 00:10:01,160 expanding the object location to include 178 00:10:01,160 --> 00:10:03,720 objects associated with places. 179 00:10:03,720 --> 00:10:08,220 So the places are kind of-- we remember those, 180 00:10:08,220 --> 00:10:12,250 but in a kind of allocentric orientation to place. 181 00:10:12,250 --> 00:10:14,120 That's with respect to the environment, 182 00:10:14,120 --> 00:10:18,130 not with respect to where we are at the moment. 183 00:10:18,130 --> 00:10:20,320 But that's a kind of association learning. 184 00:10:20,320 --> 00:10:24,000 We associate objects with specific places. 185 00:10:24,000 --> 00:10:26,390 And we're only in the last few years 186 00:10:26,390 --> 00:10:28,610 learning how that is done in the brain. 187 00:10:32,580 --> 00:10:35,360 And of course we know a lot about learning about identity. 188 00:10:35,360 --> 00:10:37,380 I just mentioned some of the characteristics 189 00:10:37,380 --> 00:10:39,610 from a behavioral point of view. 190 00:10:39,610 --> 00:10:41,700 And then ways to classify them according 191 00:10:41,700 --> 00:10:44,550 to potential uses, which neuroscientists 192 00:10:44,550 --> 00:10:46,180 don't pay a lot of attention to. 193 00:10:49,200 --> 00:10:53,620 Here's the thing about learning knowledge of place. 194 00:10:53,620 --> 00:10:56,540 Besides a very rapid assessment of where 195 00:10:56,540 --> 00:10:59,730 we are, what we call seeing perception, 196 00:10:59,730 --> 00:11:04,350 we learn where we are with respect to visual landmarks. 197 00:11:04,350 --> 00:11:06,870 For primates, that's probably the major one. 198 00:11:06,870 --> 00:11:10,060 For many animals it's olfactory, the smell of a place, 199 00:11:10,060 --> 00:11:13,440 it's more important. 200 00:11:13,440 --> 00:11:15,650 But we also have many animals we know 201 00:11:15,650 --> 00:11:21,230 learn where they are with respect to a more global map. 202 00:11:21,230 --> 00:11:26,650 Magnetic cues, infrared, infrasound patterns. 203 00:11:26,650 --> 00:11:29,230 We even learn place in a time cycle, 204 00:11:29,230 --> 00:11:33,440 but we know least about that. 205 00:11:33,440 --> 00:11:36,370 And I also want to point out that we 206 00:11:36,370 --> 00:11:40,720 have this knowledge we've acquired anticipated positions. 207 00:11:40,720 --> 00:11:44,950 Because every time we move our head around, our eyes, 208 00:11:44,950 --> 00:11:49,170 we're activating we're activating long-term memories. 209 00:11:49,170 --> 00:11:52,190 But in the spatial system, putting it in anatomical terms, 210 00:11:52,190 --> 00:11:56,840 we're activating a system connected with our head, head 211 00:11:56,840 --> 00:12:00,850 direction, that's activating memories. 212 00:12:00,850 --> 00:12:04,020 We're aware of what's in that direction, what's 213 00:12:04,020 --> 00:12:06,460 in this direction, and so forth. 214 00:12:06,460 --> 00:12:09,220 That's how we know which way to go. 215 00:12:09,220 --> 00:12:13,170 So it's connected with our motivational system as well as 216 00:12:13,170 --> 00:12:14,940 the highest systems of the brain. 217 00:12:14,940 --> 00:12:17,030 Hippocampal formation is involved 218 00:12:17,030 --> 00:12:19,960 in learning those things. 219 00:12:19,960 --> 00:12:22,110 All right. 220 00:12:22,110 --> 00:12:26,560 So we need to fill out a lot of gaps in the Lawrence types. 221 00:12:26,560 --> 00:12:32,170 And I count about 19 separate types in Lawrence descriptions. 222 00:12:32,170 --> 00:12:35,850 And if you include those [? Ibulitiz ?] [? filled ?] 223 00:12:35,850 --> 00:12:42,040 types he describes, that hasn't been fully integrated with 224 00:12:42,040 --> 00:12:46,090 the other means of classifying learning. 225 00:12:46,090 --> 00:12:50,275 OK, I'm going to stop there and turn on the video. 226 00:12:54,430 --> 00:12:56,124 Some of you may have seen this. 227 00:13:03,040 --> 00:13:06,960 Some content has been removed due to copyright restrictions. 228 00:13:06,960 --> 00:13:10,740 See the readings and viewings page for more information.