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Computation in the Learning System of Cephalopods PDF

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Reference: Bio/. Bull. 180: 200-208. (April, Computation in the Learning System of Cephalopods YOUNG J. Z. Department ofExperimentalPsychology, University ofOxford, South Parks Road, Oxford OX1 3UD, UnitedKingdom Abstract. The memory mechanisms of cephalopods to identify objects or situations, say a rock or a tree or a consist ofa series ofmatrices ofintersecting axes, which fish, but learn theclassification ofparticularsetsofstimuli find associations between the signals ofinput events and byvirtueofthelarge numberoftheirneurons. It hasbeen their consequences. The tactile memory is distributed claimedthat thisinvolvessimply "thespontaneousemer- amongeight such matrices, and there isalso some suboe- gence ofnew computational capabilities from the collec- sophageal learning capacity. The visual memory lies in tive behaviouroflarge numbers ofsimple processingele- the optic lobe and four matrices, with some re-exciting ments" (Hopfield. 1982). Biologists will probably suspect pathways. In both systems, damage to any part reduces that agenetic component is involved in the organization. proportionally the effectiveness of the whole memory. Cephalopodshavesuchnervoussystemswith numerous These matrices are somewhat like those in mammals, for neurons, and there is sufficient information about their instance those in the hippocampus. arrangement to suggest how they function. Formerly, I The first matrix in both visual and tactile systems re- have emphasized that the circuits in their brains must ceives signals ofvision and taste, and its output serves to allow for the outputs from feature detectors to produce increase the tendency to attack or to take with the arms. alternative effects after learning (Fig. 1). I proposed that The second matrix provides forthe correlation ofgroups the feature detectors must become restricted during ofsignals on its neurons, which pass signals to the third learning to establish units ofmemory or mnemons. This matrix. Here large cells find clusters in the sets ofsignals. view is correct in that it emphasizes the possibility ofal- Their output re-excites those ofthe first lobe, unless pain ternative outputs from feature detectors, but it is much occurs. In that case, thisset ofcellsprovidesa recordthat too restrictive. Emphasis on units obscures the essential ensures retreat. fact that these are systems with numerous parallel, inter- There is experimental evidence that these distributed acting channels. It is now evident that the various lobes memory systems allow forthe identification ofcategories ofthe brain provide sequences ofmatrices ofintersecting of visual and tactile inputs, for generalization, and for axes, with feedback. Theyenabletheidentification ofcat- decisiononappropriatebehaviorinthelightofexperience. egories of input and storage of records of the probable The evidence suggests that learning in cephalopods is value ofeach, in the form ofbias to particulardirections not localizedto certain layers or "grandmothercells" but ofaction to each set ofinput signals. is distributed with high redundance in serial networks, Theprinciple ofthe matricesistoprovide forselection with recurrent circuits. ofpaths that are used and inhibition ofthose that are not used. This is accomplished by various means that allow Introduction interaction between pathways. One ofthe best analyzed Responding appropriately in a complex environment systemsisin the mammalian hippocampus(Fig. 2)(Rolls, depends upon thecategorization ofeventsand adecision 1990). Inacompetitivelearningmatrixsuchasthedentate ofwhat to do. Animals with good brains have the ability gyrus, "different input patterns on the horizontal axons tolearn theuseful responsestoparticulareventsthatthey will tend to activate different output neurons. The ten- encounter. They may not be born with receptors tuned dency for each pattern to select different neurons can be enhanced by providing inhibition between the output Received 7 August 1990; accepted 18 January 1991. neurons. . . . Synaptic modification then occurs . . . and 200 COMPUTATION IN CEPHALOPOD LEARNING SYSTEM 201 Attack becomes linked by strengthened synapses with any other Basal Taste Medsupfr conjunctively activated cell or set ofcells" (Rolls, 1990). Feature lobes Vertical Asaresult, duringrecall "presentation ofeven part ofthe detectors original pattern . . . comes to elicit the firing of the whole set of cells that were originally conjunctively activated." In the hippocampus, this result is achieved by the col- Subvertical laterals ofthe CA3 cells, which reactivate thedendrites of their own and a large number ofother CA, cells. It may bethat in cephalopodsasimilareffect isachievedbypass- ing the signals through a series oflobes, each servingas a Magno matrix whose output may be returned to a previous cellular memberoftheseries(Fig. 3). The functioningofanysuch Retreat matrix system depends on the particular anatomical ar- Figure 1. Schemetoshowalternativepathwaysfromthe visual fea- rangements and details of synaptic functioning and its ture detectors ofan octopus. There are output pathways for attack or alteration with use. We do not know enough about such sreytsrteeamt.. HAertehirpdartpiactuhlawraypatlteeardnsstooftvhiesuaflousrigmnaaltsriacreescoofmbtihneevderwtiictahltlhoobsee factors in cephalopods to beableto specify precisely how oftastetoincreasethefuturetendencytoattack,orwithsignalsofpain they operate. However, the system is simple enough to to reduce it. allow usto followthewhole sequencethrough these lobes, from sense organs to motor output, and at least to spec- ulate about its functioning. the response of the system as a categorizer climbs over Matrix systems ofthis sort have the properties that we repeated iterations" (Rolls, 1990). associate with complex animal behavior. Theyensurethat In autocorrelation networks, such as the CAi cells there isgeneralization: presentation ofeven a part ofthe (Fig. 2), the preferred pathways are reinforced by mutu- original figure, or one like it, activates the firing of the ally strengthening each other. In this case, the cells of whole set of cells that were conjunctively activated the matrix have collaterals that feed back to their own ("completion""). Moreover,thesystemcontinuestooperate inputs. These recurrent synapses follow the Hebb rule even if some ofthe cells fail to operate or are removed so that "any strongly activated cell or set of cells ("fault tolerance"). We can show that these essential FDgc CA1 Neocortex Parahigpyproucsarripal to septum Parahippccampal mammillary bodies gyrus 1 1 Neocortex Figure 2. Schematic representation ofthescheme ofmatricesandconnectionswithin the primate hip- pocampusandwiththeneocortex.Thecompetitivematrixinthedentategyrusleadstoanautoassociation matrix formed bytheCA3cells, which in turn lead toacompetitive matrix on theCA, cells(From Rolls, 1990, with permission). YOUNG 202 J. Z. visual discrimination. Many ofthe experiments are done after the whole supraoesophageal lobe has been bisected. The arms ofthe two sides then learn independently and median can even be trained in opposite directions. inferior frontal >2 Afferent fibersfrom thearmsandalsotaste fibersfrom sub trauma the lips cross the dendrite systems ofthe first tactile lobe, fro3nta,lv the lateral inferior frontal (Fig. 6, 7). The axons of the cells of this first lobe pass partly to the fourth lobe, the trauma posterior buccal, and partly to the lateral superiorfrontal and sotothevertical lobesystem(below). The fibersfrom the arms and lips then pass on to the second matrix, in the median inferior frontal, where they interweave and cross the trunks of a large sample of the 10" cells, this allows maximum opportunity for any cell ofthe lobe to receivesignals from a varietyofinput fibers(Fig. 7). These 'sucker median inferior frontal cells then send their axons to the third matrix, thesubfrontal lobe, whichcontains relatively Figure3. Diagramoftheconnectionsofthetactilememorysystem few large cells with twisted trunks and many bushy den- ofOclopus.Thesuccessivematricesarelabelled 1 to8.Inaddition,there drites and, in addition, a great number (5 X 10b) ofvery issomelearningcapacity in thesuboesophageal centers. small amacrine cells. The subfrontal also receives nu- merous fibers from below, presumed to signal trauma. The large subfrontal cells send their axons to the fourth properties ofmemory systems are present in the nervous lobe,theposteriorbuccal, fromwhich, inturn, largeaxons system ofoctopuses. pass directly to the arms and cause them either to draw The nervous system of an octopus provides for cate- in or reject the object touched (Budelmann and Young, gorizationandsettingupofmemories both forvisionand 1985). These cells must be oftwo sets, some causing the touch. There are two distinct systems, each made up of object touched to be drawn in, the others to reject it. fourlobes, withelementswhose arrangement can nowbe seen to constitute sequences ofmatrices(Fig. 3, 4). Itwas subv med^upfr medinf.fr thought at one time that these were independent visual andtactilesystems, butitisnowclearthatintactilelearn- ing all eight lobes are involved (Young, 1983). This, therefore, constitutes a remarkable example ofa distrib- uted memory system using a series of networks. This model is rather similarto that suggested by Wells(1978). It does not depend on detailed preformed connections and so avoids problems ofcomplex morphogenesis. The Chemo-Tactile Memory System Octopusesreadilyrecognizedifferencesinthechemical natureandtextureofobjectsbytouch, althoughtheycan- not discriminate between shapes (Wells, 1978). The re- ceptors for touch are in the rims ofthe suckers (see Gra- ziadei in Young, 1971). Their axons proceed through ant has sub.fr sup.buc synapsesinthearm,butnodetailsareknownofthecoding Figure 4. Sagittal section ofthe supraoesophageal lobe ofOctopus signals that are sent to the brain. mlgarisstainedwithCajal'ssilvermethod.Abbreviationsforallfigures: In ourexperiments. Wellsand I train octopusesto dis- ant.bas.,anteriorbasal;b.med.,medianbasal;buc.p.,posteriorbuccal; tinguish between plastic balls, either smooth or with up cer. br. con., cerebrobrachial connective;cer. tr.. cerebral tract; lat. int. to thirteen incised rings (Wells, 1978; Young, 1983). We fr, lateral inferior frontal; lat. sup. fr., lateral superior frontal; mag., train an animal by giving it food when it takes one ball msuapgenroicoerllfurloanrt;alm;eodp..,inofp.tifrc.;.mpeedd.i,apneidnufnecrlieor;fproosntt,alb;umc.e,d.possutpe.rifro.r,mbeucdciaaln; (say a smooth one) and by giving it no reward ora small plex., plexiform layer, prec., precommissural: pv., palliovisceral; ret., electricshock fortakingtheother(rough) (Fig. 5). In crit- retina; subfr.. subfrontal; sup. buc.. superiorbuccal; subv.. subvertical; ical experiments, the optic nervesarecut toavoid possible vert., vertical. COMPUTATION IN CEPHALOPOD LEARNING SYSTEM 203 4 tests tests -, 204 J. Z. YOUNG topuses could probably make some discrimination even between a difference ofone ring. By such tests we can compare the discrimination by animals after various lesions. Without the median inferior frontal there is still discrimination, but it is much less accurate than in control animals (Fig. 9). Removal ofthe vertical lobe also reduces accuracy, although to a lesser extent. Clearly each of the lobes through which the in- formation passes adds something to the effectiveness of the representationsthat are formed,aswould beexpected from a system ofmatrices. Animalswithout vertical lobesshowerrorslargelywhen they take the negative ball, showing again that this lobe serves to increase the effectiveness ofshocks. In normal octopuses, learningispossibleeven ifrewardsaredelayed for upto 30 safterthe ball has been removed. In animals without vertical lobes, such delay is no longer possible (Wells and Young, 1968). The re-excitation within the vertical lobe system serves to maintain the necessary ex- Figure7. TransversesectionoftheinferiorfrontalsystemofOctopus citability for a Hebb type oflearning. cvri.i/tgra.r.iscesrteabirnaeldtwriactth(Cfarjaolm'ssusbivleverrtimcealthloodb.e):Abpb.retrvaicattioofnpsroasbaFbilgyurpeai4n. We have used this technique to make a large number fibersfrom hind end ofbodv. ofexperiments, leaving one side as a control. With this technique it is possible to remove the subfrontal lobe, which cannot be approached laterally. The effect is to a complex plexus to the vertical lobe. Here there are rel- produce a complete inability to learn on that side: there atively few large cells (65,000), with complex dendrites, isastrongandirreversible preferencefortherougherballs exactly like those ofthe subfrontal, and no less than 25 (Young, 1983). The lobeevidently hassome specificeffect million amacrine cells. on the coding and discrimination process. The largecellssendtheiraxonsdowntothesubvertical After cutting the cerebro-brachial tract (Fig. 6), the lobe and so to the posterior buccal, but also back to the whole influenceofthe inferiorfrontal and vertical systems lateral superior frontal(Fig. 3). Thiscircuitevidently plays isremoved. Nevertheless, there isstill aslight capacity for some part in re-enforcing the conjunctions, possibly by learned discrimination (Fig. 10), which must lie in the maintaining particular patterns by re-excitation. suboesophageal ganglia, or in the arms themselves. This residual learning is difficult to study. Animals with these The Distributed Tactile Learning System The system for touch learning thus includes no less CONTROLHALF-BRAINS than eight distinct lobes with matrix structure (Fig. 3). Therelative partsplayed by the various lobeswasstudied overa numberofyearsin a large numberofanimalswith divided brains. Lesions were made on one side, and the other was left as a control. In many ofthe experiments, discrimination was between completely smooth balls (0 rings) and those with 13 incisions. The sequence oftrain- ing for 129 normal sides is shown in Figure 5. A useful measure of the extent and reliability of dis- crimination is to give a series of24 extinction tests with balls ofdiffering roughness, shown at short intervals (1- 3 min) without any reward. Such tests are arduous to give, but theyshowthat habituation proceeds more slowly 4 6 9 13 in proportion to similarity of each ball to the one for numberofrings which reward was previously given (Fig. 8). The capacity Figure 8. Tests after training in three different directions. Means for discrimination was also tested by using more nearly andstandarderrorsofratiosoftakesofeachballtototal takes,with 24 similar balls, with 4 and 7 rings. With long training, oc- trialswith each ball. Thebarsshowstandarderrors. COMPUTATION IN CEPHALOPOD LEARNING SYSTEM 205 ~\NV "0469 0469 0469 13 13 13 numbernfrings Figure 9. Tests after training. Comparison ofresults (a): 11 animals after cutting the tract between superior frontal and vertical lobes on one side (NSFV) and removing the vertical lobe (NV) on the other side;36controlsforcomparison(b): 36animalsafterremovingthemedianinteriorfrontal(NMIF);controls andNV added forcomparison. In a& b, all trainingwaswith smooth ballspositiveand 13 rings negative. In (c) balls with six rings were positive and smooth balls negative. The figure shows the results for nine animalswith the median inferior frontal removed on one side three animalswith no vertical lobe on one side added for comparison. Note that here (and Fig. 8) the ballswith 9 and 13 rings were seldom taken, although they had not been associated with shock. large operations do not feed well and tend to hold pieces component ofthe visual learning system. The existence offoodand otherobjectsclosetothemouth. Nevertheless, ofthis double capacity is a striking demonstration ofthe the differences in numbers of takes of the balls during powerofsuchadistributed matrixsystem tostoreavariety tests are significant and show that some learning has oc- ofinputs. Itwill be very interestingto investigate whether curred. individual cells ofthe vertical lobe system play a part in Some measure oftheaccuracy ofthe memory afterthe both systems. In a study ofcombined visual and tactile various lesions isgiven bythedifference between the takes training, no mutual interactions between the two modal- ofthe rough andsmooth ballsin thetests(Table I). Using ities was seen (Allen ct at., 1986). the difference in controls as a standard (100%), we can The study of visual memory is made difficult by the judge that animals without vertical lobes are rather less complexity ofthe connections in the optic lobes, which than halfas efficient, without the median inferior frontal are not fully understood. Cells with large tangential den- are one third as efficient, and that the suboesophageal drites in the plexiform layer probably act as feature de- contribution isaboutonesixth. Damagetothesubfrontal tectors (Fig. 1 1). Their axons form columns proceeding produces a perverse effect. to the center ofthe lobe, where they interact in an inter- The Visual Memory System weaving matrix ofcells and fibers. Second or third order The vertical lobe system, which plays a part in tactile visual neurons then send axons to the central nervous learning, forms, with the optic lobes, the main and only control Table I control trained13-t-_, trnai=n3e6d0-*- n~L6 Meantakesinfinaltestsaftervariouslesions NCB.13+ I 20 04 6 9 13 numberofrings Figure 10. Tests after training. Comparison ofcontrol sides with thosewith thecerebrobrachial tractscut(NCB). 206 J. Z. YOUNG vert interruption of the circuit, an octopus will continue to med supfr make attacks, even at crabs, in spite ofreceiving shocks, Iatsupfr unless these shocks aregiven at intervals offive minutes or less. "The setting-up ofa memory representing asso- ciation of a given situation with a shock is therefore a buc property ofthe optic and basal lobes but persistence of the representation depends upon the presence ofthe ver- tical lobe" (Boycott and Young, 1955). Many other experiments have confirmed that learning ofvisual discrimination is impaired by lesionsofthe ver- tical lobe system (Young, 1961. 1965). Ifpart ofthe ver- tical lobe is removed, the accuracy ofthe memory ispro- portionately reduced. This "graceful degradation" is a property to be expected in such a distributed system. In- cidentally, Boycott and I were able to show that the same is true ofthe optic lobes. Memories are retained after re- moval ofat least 50% ofthe lobe or after making lesions op. in several places with a cataract knife. Discussion ret V The two memory systems ofan octopus thus work on precisely similar principles. The input signals are passed Figure 11. Diagram of the connections of the visual and tactile through a series ofmatrices ofintersecting axes allowing learning system ofan octopus. 1, retina; 2, second order visual cells for particular groupings of signals to interact and to be (feature detectors): 3, centrifugal cells; 4, amacrine cells; 5, tangential directedtothepathwaysforattackorretreat. Thesystems cells; 6, optic-peduncle; 7. optic-magnocellular; 8, optic-anterior basal; are tuned to produce exploratory investigation ofnovel 9.optic-median basal; 10.optic-lateralsuperiorfrontal; 11, optic-median situations. Ifthe results are favorable, the particular set superior frontal; 12. taste fibers-lateral inferior frontal; 13, taste fibers median inferiorfrontal; 14, lateralinferiorfrontal-lateralsuperiorfrontal; ofconnections in the lateral frontal lobes are re-enforced 15. lateral inferiorfrontal-mediansuperiorfrontal; 16, median superior by signals oftaste, and this set later produces more rapid frontal-vertical; 17, vertical-lateral superiorfrontal; 18, lateral superior attacksortakes by thearms. The inputsaregiven further frontal-subvertical; 19,painfibers-vertical:20,painfibers-subfrontal;21, opportunity forinteraction in the matrices ofthe median vertical-subvertical:22,subvertical-optic;23,subvertical-precommissural: frontal lobes. In the vertical and subfrontal lobes, partic- 24, precommissural-palliovisceral; 25, precommissural-magnocellular; 26, subvertical-posteriorbuccal; 27, chemo-tactile libers-lateral inferior ularsets are then concentrated into rather few large cells. frontal; 28,chemo-tactile fibers-median inferiorfrontal; 29, median in- The recurrent output from these to the lateral superior ferior frontal-subfrontal; 30. subfrontal-postenor buccal; 31, lateral in- frontal lobe presumably re-enforces the tendency to pos- feriorfrontal-posteriorbuccal; 32.motorfibersfromposteriorbuccal to itive action, unless pain occurs. In that case, the other arms. outputs from these large cells ofthe vertical orsubfrontal prevent further investigation ofthat configuration ofin- system (Fig. 1 1). Some pass to the magnocellular lobe, puts. The numerous amacrine cells in these lobes are ev- and this is probably a pathway for rapid escape reactions. idently concerned with establishing the conjunction be- Other fibers pass to the peduncle and basal lobes, which tween particular sets ofinput signalsand the pathwaysof together regulate movement, including attack. A third retreat. pathway leadstothesuperiorfrontal, andsotothevertical The organization ofthese lobes, and the effects ofre- lobe, and is responsible for learned behavior. moving them, suggests that learning in these animals is The system is organized exactly as we have seen for not localized to one or two "hidden layers" or to a few tactile learning. In the lateral superior frontal, the visual essential "grandmothercells,"butisdistributedwith high fibers interact with those oftaste, and this is a pathway redundancy in a series ofmatrices networks, with recur- that promotes attack. After removing this lobe from one rent circuitry, up to a late stage where funneling to a few side, an octopus will no longer attack when that eye has cells occurs. been used toseeacrab, forinstance, atadistance (Boycott We can gain some insight into how this process has and Young, 1955). The median superior frontal and ver- evolved by considering the differences between octopods tical lobes provide a system that prevents visual attack and decapods. Cuttlefishes and squids have a system of when trauma occurs. After removal ofthese lobes or an matrices for visual learning similar to that of octopods COMPUTATION IN CEPHALOPOD LEARNING SYSTEM 207 B vert Figure13. Anearlysuggestionofre-excitationasthebasisofmemory. Diagram ofScpiu toshow howcirculation between the lateral superior frontal (lat. sup. fr.) and vertical (vert.) might facilitate the firing ofa motorneuron(M)byconjunctiveexcitationfromtheopticlobe(O)and tastefibers(V)(Young. croneurons have processes restricted to a limited field, wherethey mayservetorepressactivity inthelargercells. In this context, it is especially interesting that we found Figure 12. Sagittal section ofthe brain ofSepia. Note that there is some simple capacity for tactile memory in the suboe- nomedianinteriorfrontalorsubfrontal.Thesuperiorfrontalhasamatrix sophageal lobes. structure like that ofOctopus. The vertical lobe has a rather different It is suggested that the amacrine cells ofthe subfrontal structure. Cajal silverstain, b.a., anteriorbasal; h. med., median basal; and vertical lobes ofoctopods have evolved from inhib- fr. ]..interiorfrontal;fr.s.,superiorfrontal;prec.,precommissural;subv., itorsofthereciprocal feedingreflexes.Theinferiorfrontal subvertical; v.. vertical. and vertical lobe systems are backward extensions ofthe superior buccal lobes (see Fig. 4). The matrices that are (Fig. 12). In an early experiment it was shown that inter- responsible forlearninghaveevolvedbythe modification ruption of the vertical lobe circuit damages the visual ofthesesimplerreflexcenters. Theincomingafferentfibers memory system of Sepia (Young, 1938; Sanders and have become marshalled into rows crossing the axons of Young. 1940). This was the first suggestion that the cir- cells of the lobe, allowing the formation ofconjunctive culation ofimpulses around a circuit provides a basis for response to the incoming patterns ofstimuli. The ama- memory (Fig. 13). There has been little further progress crine cells became collected together in distinct lobes, because the experiments are more difficult than in octo- servingto prolongtheeffects, perhapsespecially ofinhib- pods. In decapods, the inferior frontal system is much simpler than in octopods: there is no median inferior frontal or subfrontal lobe. These animals detect the prey visually and often seize by ejection of the tentacles. It seems likely that they have, at best, only a small capacity for learned tactile discrimination; the operations of ma- nipulatingand eatingthe preyarecomplex, butare prob- ably largely reflex. Nevertheless, there must be a mecha- nism for release ofany object that gives pain when it is held. Probably all reflex systems have some method of inhibition, especially ifthey involve musclesactingrecip- rocally, such as flexorsand extensorsin mammals, where the inhibition is produced by Golgi type II cells in the spinalcord. In cephalopods, reciprocal inhibition isprob- ably produced by the smaller amacrine neurons that are common amongthe larger motorneurons ofthe superior Figure14. DrawingofasinglelargecellfromthepedallobeofLoligo. buccal and suboesophageal centers (Fig. 14). These mi- accompanied by verysmall cellswith branches in the neighborhood. YOUNG 208 J. Z. itory inputs. The details are far from clear, but this pro- Budelmann, B.-l., andJ. Z. Young. 1985. Central nervouspathways vides a possible scenario for the evolution of memory for the arms and mantle ofOctopus. Phil. Trans. R Soc. B 310: 109-122. mechanisms, at least among cephalopods. Hopfield.J.J. 1982. Neuralnetworksandphysicalsystemswithemer- gent collective computational abilities. Proc Natl. Acad. Sci. USA Acknowledgments 79:2554-2558. Rolls, E. T. 1990. The representation and storage ofinformation in The work reported here has been helped by many col- neuralnetworksintheprimatecerebralcortexandhippocampus. In leagues. I am especiallygrateful to Brian Boycott, Martin TheComputingNeuron. R.Durbin.C. Miall,andG. Mitchison,eds. Wells, Marion Nixon, and Pamela Stephens. TheStazione Addison-Wesley, Wokingham. Zoologica at Naples providedexcellent conditions forex- Sanders. F. K., and J. Z. Young. 1940. Learningand otherfunctions periment over many years. Recently, work has been Wellosf,thMe.hiJ.gh1e9r7n8e.rvoOucstocpeunstr.esInofPhSeypsiiao.loJg.yNeaunrdopBheyhsaiovli.ou3r:o5f01a-n52A6d.- helpedbygrantsfromTheWellcomeTrustandUniversity vancedInvertebrate. Chapman and Hall. London. College, London. I am grateful to ProfessorL. Weiskrantz, Wells, M. J., and J. Z. Young. 1968. Learningwith delayed rewards F.R.S., foraccommodation inthePsychology Department in Octopus. Z I'ergl. Physiol. 61: 103-128. at Oxford and to my wife Raye for her secretarial help Young, J. Z. 1938. The evolution ofthe nervous system and ofthe and typing. Dr. M. J. Wells kindly commented on an erseslaatyisonpsrheispeonfteodrgtaoniEs.mS.anGdooednrviircohn,meGn.t.R.Ppd.e1B7e9e-r2.04ed.inCElvaorluetnidoonn. early draft ofthe paper. Press, Oxford. Young,J. Z. 1961. Learninganddiscrimination in theoctopus. Biol Literature Cited Rev 36: 32-96. Young,J.Z.1965. Theorganizationofamemorysystem.TheCrooman Allen, A., J. Michels, and J. Z. Young. 1986. Possible interactions Lecture. Proc. R Soc. B 163: 285-320. betweenvisualandtactilememoriesinoctopus.Mar. Behav.Physiol. Young, J. Z. 1971. TheAnatomy oftheNervous System ofOctopus 12:81-97. vulgaris. Clarendon Press. Oxford. Boycott, B. B., and J. Z. Young. 1955. A memory system in Octopus Young,J.Z. 1983. ThedistributedtactilememorysystemofOctopus. vulgarisLamark. Prof. R Soc. B 143:449-480. Proc. R Soc. B 218: 135-176.

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