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Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network / Modellering av sekventiellt korttidsminne med hjälp av ett autoassociativt Bayesianskt neuronnätverkEricson, Julia January 2021 (has links)
In the last decades, computational models have become useful tools for studying biological neural networks. These models are typically constrained by either behavioural data from neuropsychological studies or by biological data from neuroscience. One model of the latter kind is the Bayesian Confidence Propagating Neural Network (BCPNN) - an attractor network with a Bayesian learning rule which has been proposed as a model for various types of memory. In this thesis, I have further studied the potential of the BCPNN in short-term sequential memory. More specifically, I have investigated if the network can be used to qualitatively replicate behaviours of immediate verbal serial recall, and thereby offer insight into the network-level mechanisms which give rise to these behaviours. The simulations showed that the model was able to reproduce various benchmark effects such as the word length and irrelevant speech effects. It could also simulate the bow shaped positional accuracy curve as well as some backward recall if the to-be recalled sequence was short enough. Finally, the model showed some ability to handle sequences with repeated patterns. However, the current model architecture was not sufficient for simulating the effects of rhythm such as temporally grouping the inputs or stressing a specific element in the sequence. Overall, even though the model is not complete, it showed promising results as a tool for investigating biological memory and it could explain various benchmark behaviours in immediate serial recall through neuroscientifically inspired learning rules and architecture. / Under de senaste årtionden har datorsimulationer blivit ett allt mer populärt verktyg för att undersöka biologiska neurala nätverk. Dessa modeller är vanligtvis inspirerade av antingen beteendedata från neuropsykologiska studier eller av biologisk data från neurovetenskapen. En modell av den senare typen är ett Bayesian Confidence Propagating Neural Network (BCPNN) - ett autoassociativt nätverk med en Bayesiansk inlärningsregel, vilket tidigare har använts för att modellera flera typer av minne. I det här examensarbetet har jag vidare undersökt om nätverket kan användas som en modell för sekventiellt korttidsminne genom att undersöka dess förmåga att replikera beteenden inom verbalt sekventiellt korttidsminne. Experimenten visade att modellen kunde simulera ett flertal viktiga nyckeleffekter såsom the word length effect och the irrelevant speech effect. Däröver kunde modellen även simulera den bågformade kurvan som beskriver andelen lyckade repetitioner som en funktion av position, och den kunde dessutom repetera korta sekvenser baklänges. Modellen visade också på viss förmåga att hantera sekvenser där ett element återkom senare i sekvensen. Den nuvarande modellen var däremot inte tillräcklig för att simulera effekterna som tillkommer av rytm, såsom temporär gruppering eller en betoning på specifika element i sekvensen. I sin helhet ser modellen däremot lovande ut, även om den inte är fullständig i sin nuvarande form, då den kunde simulera ett flertal viktiga nyckeleffekter och förklara dessa med hjälp av neurovetenskapligt inspirerade inlärningsregler.
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"Idag måste alla kunna läsa" : Tre pedagogers arbetssätt med elever i läs- och skrivsvårigheter / “Today everybody must be able to read” : Three pedagogues’ working methods for pupils with reading and writing difficultiesBjörknert, Johanna January 2016 (has links)
Abstract The aim of the study is to investigate how three pedagogues with different orientations work with reading and writing difficulties in the same school. A qualitative method with interviews and observations of the teachers was applied to investigate the methods used by a special education teacher, a class pedagogue and a special education pedagogue, and the needs for support in the teaching of pupils with reading and writing difficulties. In the design of interview questions and observation protocols and the processing of the collected data, the research method has been deductive, which means that themes based on the aim of the study and previous research were the starting point for the categorization of the data. The results of the study show that the group of pupils with reading and writing difficulties is problematic because the needs for support vary greatly and because, according to the pedagogues, the iPad was the device that contained the alternative tools that were able to give the pupils the best support. It is important to have variation in the teaching, and different apps can offer this. The theoretical premise of the study is the socio-cultural perspective which revealed itself in the way that, no matter what difficulty the pupil has, support from the pedagogues is needed to advance in the learning process, and this should take place in social interaction between pedagogue and pupil.
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