David R. Shanks

发表

Analysing decisions I: a general framework

Ben R. Newell, David A. Lagnado, David R. Shanks, 2015 .

Enhancing learning and retrieval of new information: a review of the forward testing effect

David R. Shanks, Chunliang Yang, Rosalind Potts, 2018, npj Science of Learning.

Testing the controllability of contextual cuing of visual search

Rafael Alonso, David R. Shanks, David Luque, 2017, Scientific reports.

Awareness in Decision-Making: Implicit Influences or Measurement Biases?

David R. Shanks, Emmanouil Konstantinidis, D. Shanks, 2013, CogSci.

Judging Covariation and Causation

David R. Shanks, D. Shanks, 2008 .

Some parallels between associative learning and object classification

David R. Shanks, 1991 .

Predict choice: A comparison of 21 mathematical models

David R. Shanks, Maarten Speekenbrink, Eric Schulz, 2014, CogSci.

Implicit learning from an information processing standpoint

David R. Shanks, Mark F. St. John, D. Shanks, 1997 .

Data and Results

David R. Shanks, Miguel A. Vadillo, Marcos Díaz-Lago, 2016 .

Design Analysis Simulations

Tom E Hardwicke, David R. Shanks, Elizabeth Athena Braun, 2017 .

A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation

David R. Shanks, Miguel A. Vadillo, Chris N. H. Street, 2015, Behavior research methods.

THE RELATIONSHIP BETWEEN CONDITIONING AND CAUSALITY JUDGMENT

David R. Shanks, Anthony Dickinson, 1985 .

Straight Choices: The Psychology of Decision Making

David A. Lagnado, David R. Shanks, Benjamin R. Newell, 2007 .

Tests of an Adaptive Network Model for the Identification and Categorization of Continuous-dimension Stimuli

David R. Shanks, Mark A. Gluck, M. Gluck, 1994, Connect. Sci..

Salience Not Status: How Category Labels Influence Feature Inference

Justin C. D. Savage, David R. Shanks, Nathalie Fouquet, 2015, Cogn. Sci..

A connectionist account of base-rate biases in categorization

David R. Shanks, D. Shanks, 1991 .

To simulate or not? Comment on steingroever, Wetzels, and Wagenmakers (2014)

David R. Shanks, Maarten Speekenbrink, Emmanouil Konstantinidis, 2014 .

Instrumental action and causal representation

David R. Shanks, Anthony Dickinson, A. Dickinson, 1995 .

Connectionist Accounts of the Inverse Base-rate Effect in Categorization

David R. Shanks, 1992 .

A critical examination of the evidence for unconscious (implicit) learning

David R. Shanks, R. E. A. Green, J. A. Kolodny, 1994 .

The Psychology of Associative Learning

David R. Shanks, D. Shanks, 1995 .

Experiment 1 Pre-registration

David R. Shanks, Tom E Hardwicke, 2015 .

Representation of categories and concepts in memory.

David R. Shanks, 1997 .

Is probabilistic cuing of visual search an inflexible attentional habit? A meta-analytic review

David R. Shanks, David Luque, Miguel A. Vadillo, 2021, Psychonomic Bulletin & Review.

A unitary signal-detection model of implicit and explicit memory

David R. Shanks, Richard N. A. Henson, D. Shanks, 2008, Trends in Cognitive Sciences.

Configural processes in human associative learning

David R. Shanks, David Charles, Richard J. Darby, 1998 .

I like what I know: Is recognition a non-compensatory determiner of consumer choice?

David R. Shanks, D. Shanks, Onvara Oeusoonthornwattana, 2010, Judgment and Decision Making.

Regressive research: The pitfalls of post hoc data selection in the study of unconscious mental processes

David R. Shanks, D. Shanks, 2016, Psychonomic Bulletin & Review.

Subjective measures of awareness and implicit cognition

David R. Shanks, Richard J. Tunney, D. Shanks, 2003, Memory & cognition.

The Effect of Mental Practice on Performance in a Sequential Reaction Time Task

David R. Shanks, D. Shanks, Annabel Cameron, 2000, Journal of motor behavior.

Normative and Descriptive Accounts of the Influence of Power and Contingency on Causal Judgement

David R. Shanks, D. Shanks, J. Perales, 2003, The Quarterly journal of experimental psychology. A, Human experimental psychology.

Effects of Trial Order on Contingency Judgments: A Comparison of Associative and Probabilistic Contrast Accounts

David R. Shanks, Francisco J. López, D. Shanks, 1998 .

Acquisition functions in contingency judgment

David R. Shanks, D. Shanks, 1987 .

Attentional load and implicit sequence learning

David R. Shanks, D. Shanks, L. Rowland, 2005, Psychological research.

Abstractionist and Processing Accounts of Implicit Learning

David R. Shanks, D. Shanks, T. Johnstone, 2001, Cognitive Psychology.

On the Relationship between Repetition Priming and Recognition Memory: Insights from a Computational Model.

David R. Shanks, Richard N. Henson, D. Shanks, 2006 .

CATEGORIZATION BY A CONNECTIONIST NETWORK

David R. Shanks, D. Shanks, 1991 .

Dual concerns with the dualist approach

David A. Lagnado, David R. Shanks, 2007 .

Sub-optimal reasons for rejecting optimality

David A. Lagnado, David R. Shanks, 2000, Behavioral and Brain Sciences.

Prior experience can influence whether the whole is different from the sum of its parts

David R. Shanks, Harald Lachnit, Klaus G. Melchers, 2005 .

Dissociating Long-term Memory Systems: Comment on Nyberg and Tulving (1996)

David R. Shanks, D. Shanks, 1997 .

The primacy of conscious decision making – ERRATUM

Ben R. Newell, David R. Shanks, 2014 .

Bayesian associative learning

David R. Shanks, 2006, Trends in Cognitive Sciences.

Associative versus contingency accounts of category learning: Reply to Melz, Cheng, Holyoak, and Waldmann (1993).

David R. Shanks, D. Shanks, 1993 .

CATEGORIZATION BY A CONNECTIONIST NETWORK

David R. Shanks, D. Shanks, 1991 .

On the existence of independent explicit and implicit learning systems: An examination of some evidence

David R. Shanks, D. Shanks, R. Green, 1993, Memory & cognition.

Distinguishing Associative and Probabilistic Contrast Theories of Human Contingency Judgment

David R. Shanks, Anthony Dickinson, Francisco J. López, 1996 .

Amnesia and the Declarative/Nondeclarative Distinction: A Recurrent Network Model of Classification, Recognition, and Repetition Priming

David R. Shanks, Annette Kinder, D. Shanks, 2001, Journal of Cognitive Neuroscience.