A simplified computational memory model from information processing

A simplified computational memory model from information processing

This paper is intended to propose a computational model for memory from the view of information processing. The model, called simplified memory information retrieval network (SMIRN), is a bi-modular hierarchical functional memory network by abstracting memory function and simulating memory information processing. At first meta-memory is defined to express the neuron or brain cortices based on t...

A Computational Memory and Processing Model for Processing

This paper links prosody to the information in the text and how it is processed by the speaker. It describes the operation and output of Loq, a text-to-speech implementation that includes a model of limited attention and working memory. Attentional limitations are key. Varying the attentional parameter in the simulations varies in turn what counts as given and new in a text, and therefore, the ...

Verbal Short-Term Memory and Language Processing: A Computational Model

A computational memory and processing model for prosody

This thesis links processing in working memory to prosody in speech, and links different working memory capacities to different prosodic styles. It provides a causal account of prosodic differences and an architecture for reproducing them in synthesized speech. The implemented system mediates text-based information through a model of attention and working memory. The main simulation parameter o...

Information Processing Using a Model of Associative Memory

A s s o c i a t i o n mechanisms are cons i d e r e d t o p lay Impor tan t r o l e s i n t h i n k i n g in the human b r a i n . Such mechanisms should be ana]ysed and u t i l i z e d In machine i n t e l l i g e n c e in o rder to f u r t h e r work i n the f i e l d . Th is paper desc r i bes a model of a n e u r a l network named ' A s s o c i a t r o n ' , and cons ide rs i t s a p p l i ...