Essays about: "attractor neural network"
Showing result 1 - 5 of 10 essays containing the words attractor neural network.
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1. Hierarchical Clustering using Brain-like Recurrent Attractor Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hierarchical clustering is a family of machine learning methods that has many applications, amongst other data science and data mining. This thesis belongs to the research area of brain-like computing and introduces a novel approach to hierarchical clustering using a brain-like recurrent neural network. READ MORE
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2. Role of Context in Episodic Memory : A Bayesian-Hebbian Neural Network Model of Episodic Recall
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Episodic memory forms a fundamental aspect of human memory that accounts for the storage of events as well as the spatio-temporal relations between events during a lifetime. These spatio-temporal relations in which episodes are embedded can be understood as their contexts. Contexts play a crucial role in episodic memory retrieval. READ MORE
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3. Effects of Network Size in a Recurrent Bayesian Confidence Propagating Neural Network With two Synaptic Traces
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A modular Recurrent Bayesian Confidence PropagatingNeural Networks (BCPNN) with two synaptic time tracesis a computational neural network that can serve as a modelof biological short term memory. The units in the network aregrouped into modules called hypercolumns within which there isa competitive winner-takes-all mechanism. READ MORE
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4. Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Attractor Neural Network modelling of the Lifespan Retrieval Curve
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human capability to recall episodic memories depends on how much time has passed since the memory was encoded. This dependency is described by a memory retrieval curve that reflects an interesting phenomenon referred to as a reminiscence bump - a tendency for older people to recall more memories formed during their young adulthood than in other periods of life. READ MORE