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The Generalized Signal Detection Theory

Hellman, Johan LU and Sikström, Sverker LU (2013) 2nd Annual International Conference on Cognitive and Behavioral Psychology CBP 2013
Abstract
Signal detection theory (SDT) and the Dual Process SDT

(Yonelinas, 1994) are currently the most influential accounts

of item variability in recognition memory. However,

neither provides a sufficient account of differences in the

familiarity distributions. Instead, this phenomenon is

accounted for by the idea of encoding variability (Wixted,

2007) or an additional retrieval process (Yonelinas, 2001).

We present the Generalized Signal Detection Theory (the

GSDT), in which the familiarity distribution are a sum of

signals described by a sigmoidal non-linear activation function.

The GSDT accounts for a higher variability in the old

item... (More)
Signal detection theory (SDT) and the Dual Process SDT

(Yonelinas, 1994) are currently the most influential accounts

of item variability in recognition memory. However,

neither provides a sufficient account of differences in the

familiarity distributions. Instead, this phenomenon is

accounted for by the idea of encoding variability (Wixted,

2007) or an additional retrieval process (Yonelinas, 2001).

We present the Generalized Signal Detection Theory (the

GSDT), in which the familiarity distribution are a sum of

signals described by a sigmoidal non-linear activation function.

The GSDT accounts for a higher variability in the old

item distribution by emphasizing the non-linarites, but also

for equal variability in the new and old item distributions by

attenuating the non-linearites. The GSDT also extends the

interpretation of the new to old item variability, indexed by

the slope of the z-ROC. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
in press
subject
keywords
Recognition memory, Item variability, Receiver-operating Characteristics
conference name
2nd Annual International Conference on Cognitive and Behavioral Psychology CBP 2013
language
English
LU publication?
yes
id
cc13ee98-957d-4cd7-a6f1-f8e4d3f79c47 (old id 3122793)
date added to LUP
2012-10-30 16:15:42
date last changed
2016-07-04 14:13:09
@misc{cc13ee98-957d-4cd7-a6f1-f8e4d3f79c47,
  abstract     = {Signal detection theory (SDT) and the Dual Process SDT<br/><br>
(Yonelinas, 1994) are currently the most influential accounts<br/><br>
of item variability in recognition memory. However,<br/><br>
neither provides a sufficient account of differences in the<br/><br>
familiarity distributions. Instead, this phenomenon is<br/><br>
accounted for by the idea of encoding variability (Wixted,<br/><br>
2007) or an additional retrieval process (Yonelinas, 2001).<br/><br>
We present the Generalized Signal Detection Theory (the<br/><br>
GSDT), in which the familiarity distribution are a sum of<br/><br>
signals described by a sigmoidal non-linear activation function.<br/><br>
The GSDT accounts for a higher variability in the old<br/><br>
item distribution by emphasizing the non-linarites, but also<br/><br>
for equal variability in the new and old item distributions by<br/><br>
attenuating the non-linearites. The GSDT also extends the<br/><br>
interpretation of the new to old item variability, indexed by<br/><br>
the slope of the z-ROC.},
  author       = {Hellman, Johan and Sikström, Sverker},
  keyword      = {Recognition memory,Item variability,Receiver-operating Characteristics},
  language     = {eng},
  title        = {The Generalized Signal Detection Theory},
  year         = {2013},
}