Human behavioural dataset from 2-choice reaction time psychology experiment.This dataset was created as part of the doctoral studies of the thesis "Incidental sequence learning in humans: Predictions of an associative account" which is deposited in ORE (http://hdl.handle.net/10871/15725). Related datasets are available via the URI links in the link section of this record.As in the previous COLSEQ experiments, we wanted to put colour learning and sequence learning in competition to see what sort of cue competition effects we would observe. This coupled together the "Rossy" way of creating the Dual group and my way of producing the Dual group. Rossy put the colours on every third trial so competition for learning would occur, whereas I put th...
Memory for order information is studied by the presentation of a string of items, after which the su...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
A computational model of sequence learning is described that is based on pairwise associations and g...
Human behavioural dataset collected from computerised 2-choice reaction time psychology experiment.T...
Human behavioural dataset from 2-choice serial reaction time computerised psychology experiment.This...
Datasets relating to this thesis can also be found in ORE: http://hdl.handle.net/10871/15714; http:/...
'This article may not exactly replicate the final version published in the APA journal. It is not th...
The recent history of events can influence responding despite there being no contingent relationship...
CogSci 2013 - 35th annual meeting of the Cognitive Science Society, Berlin, Germany, 31 July - 3 Aug...
<p>Abstract copyright data collection owner.</p>How do we learn sequences? In some cases people may ...
Recent proposals emphasize the role of learning in empirical markers of conflict adaptation. Some of...
To investigate a human sequential learning Nissen & Bullemer (1987) developed a serial reaction time...
A common distinction made by theorists examining the mental processes contributing to human learning...
Past research on sequence learning shows that exposure to a structured series of events under incide...
McLaren, I. P., Jones, F. W., McLaren, R. and Yeates, F. (2013) Cue competition in human incidental ...
Memory for order information is studied by the presentation of a string of items, after which the su...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
A computational model of sequence learning is described that is based on pairwise associations and g...
Human behavioural dataset collected from computerised 2-choice reaction time psychology experiment.T...
Human behavioural dataset from 2-choice serial reaction time computerised psychology experiment.This...
Datasets relating to this thesis can also be found in ORE: http://hdl.handle.net/10871/15714; http:/...
'This article may not exactly replicate the final version published in the APA journal. It is not th...
The recent history of events can influence responding despite there being no contingent relationship...
CogSci 2013 - 35th annual meeting of the Cognitive Science Society, Berlin, Germany, 31 July - 3 Aug...
<p>Abstract copyright data collection owner.</p>How do we learn sequences? In some cases people may ...
Recent proposals emphasize the role of learning in empirical markers of conflict adaptation. Some of...
To investigate a human sequential learning Nissen & Bullemer (1987) developed a serial reaction time...
A common distinction made by theorists examining the mental processes contributing to human learning...
Past research on sequence learning shows that exposure to a structured series of events under incide...
McLaren, I. P., Jones, F. W., McLaren, R. and Yeates, F. (2013) Cue competition in human incidental ...
Memory for order information is studied by the presentation of a string of items, after which the su...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
A computational model of sequence learning is described that is based on pairwise associations and g...