Flowers, the sole natural source of pollen and nectar for bees, present many similar features, in colour, shape, size and scent, which facilitate pollinator attraction. This similarity among stimuli requires perception of commonality but also a capacity for differentiation between similar but different stimuli. While many flowers of a similar type will elicit approach and foraging, failure to access resources on any individual flower in an array (e.g. due to depletion) will not necessarily generalize and deter further foraging. Such conditions demand that bees respond to both the similarity and differences among stimuli which may share many common features but differ individually in available resources. Two questions are raised by this challenge and will herein be addressed: how do bees perceive and respond to ‘similar but different’ stimuli? And, how do bees use such cues to find rewarding flowers? Picture-object correspondence has not been previously specifically studied in invertebrates. The correspondence between picture-cue and object stimuli may offer a unique opportunity to trigger memory for corresponding targets while still retaining an important distinction between unrewarding cue and rewarding targets. Perception of pictures is not always perceived by animals as either the same as or equivalent to the intended subject. According to Fagot et al. (2000) the perceived relationship may result in confusion, independence or equivalence and is dependent upon experience. The objectives of this thesis are twofold: first, determine how bumblebees (Bombus impatiens) perceive the relationship between objects and corresponding pictures and secondly, to determine whether or not bees may be able to attend to and use pictures as cues while foraging. The correspondence of picture and object by bees was evaluated with four experiments of preference: (1) learned differentiation; spontaneous association to (2) colour, and (3) achromatic, impoverished images; and (4) learned picture cue use. Firstly, results show that bees do not confuse an object with a corresponding picture but nevertheless do perceive a relationship between them if colour cues are retained. Altered, achromatic images were not consistently treated as corresponding to coloured objects. Secondly, bees can learn to use a picture cue in a delayed matching foraging task. Results further suggest a role of three contributing factors in bumblebee picture cue use: (i) conditions of high inconsistency as to which target will be rewarding; (ii) stable target locations; and (iii) individual foraging experience. It appears that bumblebees can learn to use cues, in a delayed matching task, when the location of the corresponding target is known and stable, the individual bee has acquired some experience in successful foraging, and reward is otherwise unpredictable without the use of the cue. Bees may disregard secondary cues as noise under conditions of high target predictability whereby floral constancy or target perseveration may be most efficient, but attend to and learn such cues as signals if target reward is highly unpredictable. The conditions for this sensitivity may coincide with naturally occurring floral cycles.

Traditionally, working memory and its neural underpinnings have been studied in the visual domain. A rich and diverse amount of research has investigated the lateral prefrontal cortex (lPFC) as a primary area for visual working memory, while another line of research has found the neurotransmitter acetylcholine (ACh) to be involved. This dissertation used auditory cues and found similar patterns of activity for processing auditory working memory information within a task compared to visual working memory processes. The first two experimental chapters demonstrated that the cholinergic system is involved in auditory working memory in a comparable fashion to its role in visual working memory. In chapter 2, blocking ACh impaired performance on an auditory working memory task in a dose dependent manner. Chapter 3 investigated the specificity of the effect of blocking ACh by administering an ACh agonist (physostigmine) at the same time as an ACh antagonist (scopolamine). When both drugs were administered together performance on the delayed matching-to-sample task (DMTS) task improved compared to performance on scopolamine alone. These results support the hypothesis that ACh is involved in auditory working memory. Chapter 4 investigated the neural correlates of auditory working memory in area 46 and found that this region of the lPFC contains neurons that are responsive to auditory working memory components in a very similar way to how it this region encodes information during visual working memory tasks. Neurons in the lPFC are responsive to visual or auditory cues, the delay portion of tasks, the wait time (i.e. decision making period), response, and reward times. This type of coding provides support for the theories that position the lPFC as a key player in recognition and working memory regardless of modality.

Five humans were exposed to a matching to sample task in which the delay (range = 0 to 32 seconds) between sample stimulus offset and comparison onset was manipulated across conditions. Auditory stimuli (1” tone) and arbitrary symbols served as sample stimuli for three (S1, S2, S3) and two (S4 and S5) subjects, respectively. Uppercase English letters (S, M, and N) served as comparison stimuli for all subjects. Results show small but systematic effects of the retention interval on accuracy and latency to selection of comparison stimuli. The results fail to show a difference between subjects exposed to auditory and visual sample stimuli. Some reasons for the failure to note a difference are discussed.

Made available in DSpace on 2016-04-29T13:18:12Z (GMT). No. of bitstreams: 1 Juliana Santana Reina Machado.pdf: 347437 bytes, checksum: ef6c942bdf5455f7250fa7e7c43a76cd (MD5) Previous issue date: 2009-05-15 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The purpose of the present study was to investigate the topography response of report own behavior on a Delayed Matching to Sample (DMTS) response that involves the selection of a stimulus and response that involves the construction of the stimulus that was selected during the DMTS and how it affects the accuracy of report and vice-verse and verify if the difficulty of DMTS affects the report manipulating the number of sample stimulus. Eight undergraduate students were subjects of the research. The procedure consisted of a Delayed Matching to Sample (DMTS) task, the report target behavior, followed by three report tasks: 1) Report by Selection Which one have you chosen? in which the subject should indicate the comparison stimuli he had chosen on the DMTS task, 2) Report by Constructed-Response Construct the figure that you have chosen! and 3) Report about the gain on the target task. In which the subject could say YES , NO or DON T KNOW . The result analysis showed that reports by selection were more accurate and CRMTS reports were less accurate. The manipulation of the number of sample stimulus showed that for the majority of the subjects, when the report was by selection accuracy tended to decrease as the number of elements increased. The curve of report of selection accompanies the DMTS curve. The results about the report about gain were similar with the report by selection. The performance of subjects on report constructed-response was different for all subjects except for three subjects the accuracy of report decrease as the number of stimulus increased / O presente estudo teve como objetivo investigar se a topografia da resposta de relatar o próprio comportamento no Delayed Matching to Sample (DMTS) resposta que envolve a seleção do estímulo e resposta que envolve a construção do estímulo que foi selecionado durante o emparelhamento com o modelo atrasado (DMTS) afeta a precisão do relato e vice versa e verificar se a dificuldade da tarefa de DMTS, manipulando a quantidade de estímulos modelo altera o relato verbal e se o relato verbal altera a tarefa alvo. Oito estudantes universitários participaram da pesquisa. O procedimento consistiu em uma tarefa de Delayed Matching to Sample (DMTS) tarefa alvo do relato e em três tarefas de relatos: 1) Relato de Seleção Qual você escolheu? e o participante deveria selecionar o estímulo comparação escolhido na tarefa de DMTS, 2) Relato de Construção (CRMTS) Construa a figura que você escolheu e o participante deveria construir o estímulo que escolheu como estímulo comparação na tarefa de DMTS e 3) Relato sobre acerto na tarefa alvo Você acertou? , tendo como possíveis respostas SIM , NÃO e NÃO SEI . A análise dos resultados constatou que os relatos de seleção foram os mais precisos e os relatos de CRMTS tiveram maior quantidade de imprecisões. A manipulação do número de estímulos modelo na tarefa de DMTS demonstrou que para a maioria dos participantes, quando o relato era de seleção, com o aumento do número de estímulos modelo, o sucesso na tarefa alvo diminuiu e a curva do relato de seleção acompanha a de DMTS, sendo maior em algumas oportunidades. Com relação ao relato sobre acerto, os resultados são semelhantes aos do relato de seleção, sendo que o de seleção é ligeiramente melhor. O desempenho dos participantes no relato de CRMTS foi diferente entre os participantes, somente para 3 participantes houve aumento na quantidade de erros com o aumento do número de estímulos modelo

The present experiment was conducted to investigate the effects of reinforcer magnitude on resistance to disruption of remembering and response rates. Pigeons were exposed to a variable-interval (VI), delayed-matching-to-sample procedure (DMTS) with two components (rich and lean). Specifically, completion of a VI 20 second (s) multiple schedule resulted in DMTS trials in both components. In a DMTS trial, a choice of one of two comparison stimuli (e.g., blue key) results in reinforcement if the choice matches some property of the sample stimulus presented previously. Sample and comparison stimuli are separated by a delay. Four delays (0.1, 4, 8, and 16 s) were used between the sample and comparison stimuli in the study. The difference between rich and lean components was the length of hopper duration following a correct response. The probability of reinforcement following a correct response in both components was .5. Each pigeon was exposed to 50 sessions of initial baseline and then 30 sessions of baseline between each disruptive condition (extinction, intercomponent interval [ICI] food, lighting the houselight during delays, and prefeeding). Separable aspects of the forgetting functions (initial discriminability and rate of forgetting) were examined by determining accuracy at each delay. During baseline, response rates were higher in the rich component relative to the lean. Accuracy decreased as delay increased in both rich and lean components, and accuracy was consistently higher in the rich relative to the lean component. During disruptive conditions, extinction, ICI food, and prefeeding disrupted response rates, but lighting the houselight during the delays had little effect. During the DMTS portion of the procedure, extinction and prefeeding decreased initial discriminability and lighting the houselight during the delay increased rate of forgetting. Intercomponent food had little effect on accuracy. Accuracy in the rich component was more resistant to disruption relative to the lean component during extinction. These results indicate that certain disruptors do not have the same disruptive effect across response rates and accuracy (e.g., ICI food). These data also suggest that when systematic differences in accuracy between rich and lean components are revealed, performance in the rich component tends to be more resistant to disruption.

If remembering is discriminative behaviour along the dimension of time and if, as Sargisson and White (2001) argued, generalisation around a peak can occur in this behaviour, then the peak shift which has been shown in discrimination along so many other stimulus dimensions, might also occur in remembering. To examine this hypothesis, 6 hens were trained in a delayed matching-to-sample procedure at delays of 2 and 4 s. The probability of reinforcement for correct responses was initially 0.9 at both delays until performance stabilised. A generalisation probe was then carried out by inserting unreinforced trials at delays of 0, 1, 1.5, 2.5, 3, 3.5, 4.5, 5 and 6 s in a session amongst normal training delay trials. The generalisation functions had a slight peak around 2 s. After further training, a second generalisation probe showed a slightly declining function. The probability of reinforcement at the 2 s delay was then dropped to 0.1, so that in the terms of the classical generalisation/peak shift paradigm, 2-s delay trials became S¯ and 4-s delay trials became S+. A third generalisation probe then was conducted. This resulted in a flat function from 0 s to 3 s, and a large, clear peak in discriminative performance at 4.5 s over all hens. After more of the same differential reinforcement training, a fourth generalisation probe showed a broad curve peaking at 3 s, with minima at 1 s and 6 s and a global maximum at 0 s. Another training condition was then run, with the probability of reinforcement at the 2-s delay dropped to 0, to see if increasing the aversiveness of S¯ would again result in a peak shift. A fifth generalisation probe was then conducted. This showed a sharp decline in discriminability at shorter delays, a dip around 2 s, and a very small area shift beyond 4 s, but no clear peak shift. This was interpreted as being due to overlearning, with the consequences of remembering at S¯ no longer significantly affecting performance at S+. A final training condition was then run, with S¯ moved from 2 s to 3 s with zero probability of reinforcement, and for only a short period, to prevent overlearning. It was predicted that this would cause peak shift to re-occur. A sixth generalisation probe was then conducted. This found a further decline in discriminability at shorter delays, a shift in the dip from 2 s to 3 s, and a large, clear peak at 4.5 s. This demonstration of peak shift in a remembering process would not have been predicted by any traditional theory of memory, but strongly supports the conception of remembering as discriminative behaviour along the stimulus dimension of time.