Emergent Neural Computational Architectures Based on Neuroscience

We present a survey of recent brain-based neural network models of various aspects of cognition, covering learning and episodic memory, working memory, attention control, goal formation, language learning and use and consciousness. These models are assessed in the light of their explanation of experimental data, as well as the possible help they have provided in understanding global cognitive processing principles. The paper concludes with a discussion of how the models discussed might help to guide the creation of an artificial cognitive brain.

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Words in the brain’s language: An experimental investigation

Setola

Reilly

2005

Brain and Language

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According to Pulvermüller (1999), words are represented in the brain by cell assemblies (Hebb, 1949) distributed over diVerent areas, depending on semantic properties of the word. For example, a word with strong visual associations will be represented by a cell assembly involving neurons in the visual cortex, while a word suggesting action will selectively activate neurons in the motor areas. The present work aims to test the latter hypothesis by means of behavioural measures. SpeciWcally it tests the prediction that there should be a selective inXuence (in terms either of interference or priming) of performed/observed movements on the performance (reaction times and accuracy) of lexical decision involving words with a strong action association. Similarly, a selective inXuence of visual images on lexical decision involving words with strong visual associations should be observed. Two experiments were carried out. Results provided partial support for the hypothesis. 

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Emergent Neural Computational Architectures Based on Neuroscience

Cited by 21 publications

References 66 publications

Image Invariant Robot Navigation Based on Self Organising Neural Place Codes

Image Invariant Robot Navigation Based on Self Organising Neural Place Codes

A review of brain-based neuro-cognitive models

Words in the brain’s language: An experimental investigation

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