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:
https://lup.lub.lu.se/record/3122793
- author
- Hellman, Johan
LU
and Sikström, Sverker
LU
- organization
- publishing date
- 2013
- 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
- conference location
- Singapore
- conference dates
- 2013-02-25 - 2013-02-26
- language
- English
- LU publication?
- yes
- id
- cc13ee98-957d-4cd7-a6f1-f8e4d3f79c47 (old id 3122793)
- date added to LUP
- 2016-04-04 13:27:47
- date last changed
- 2018-11-21 21:14:09
@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}},
keywords = {{Recognition memory; Item variability; Receiver-operating Characteristics}},
language = {{eng}},
title = {{The Generalized Signal Detection Theory}},
year = {{2013}},
}