D. Little

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Simplicity Bias in the Estimation of Causal Functions

Daniel R. Little, R. Shiffrin, D. Little, 2009 .

Activation in the neural network responsible for categorization and recognition reflects parameter changes

Daniel R. Little, R. Nosofsky, T. James, 2011, Proceedings of the National Academy of Sciences.

A Bayesian Model of Rule Induction in Raven's Progressive Matrices

Stephan Lewandowsky, Thomas L. Griffiths, Daniel R. Little, 2012, CogSci.

Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time

Daniel R. Little, D. Little, 2012, Behavior research methods.

Insight Is Not in the Problem: Investigating Insight in Problem Solving across Task Types

Daniel R. Little, D. Little, S. Cropper, 2016, Front. Psychol..

The Categorisation of Non-Categorical Colours: A Novel Paradigm in Colour Perception

Daniel R. Little, D. Little, S. Cropper, 2013, PloS one.

Short-term memory scanning viewed as exemplar-based categorization.

Daniel R. Little, R. Nosofsky, D. Little, 2011, Psychological review.

Small is beautiful: In defense of the small-N design

Daniel R. Little, Philip L. Smith, D. Little, 2018, Psychonomic Bulletin & Review.

Global Cue Inconsistency Diminishes Learning of Cue Validity

Daniel R. Little, P. Howe, D. Little, 2016, Front. Psychol..

Assessing the speed--accuracy trade-off effect on the capacity of information processing.

Joseph W. Houpt, Daniel R. Little, D. Little, 2014, Journal of experimental psychology. Human perception and performance.

Cue-Driven Changes in Detection Strategies Reflect Trade-Offs in Strategic Efficiency

Cheng-Ta Yang, Daniel R. Little, Chun-Hao Wang, 2019, Computational Brain & Behavior.

Logical rules and the classification of integral-dimension stimuli.

Daniel R. Little, Stephen E. Denton, R. Nosofsky, 2013, Journal of experimental psychology. Learning, memory, and cognition.

Historical Foundations and a Tutorial Introduction to Systems Factorial Technology

Daniel R. Little, Nicholas Altieri, D. Little, 2017 .

Stretching Mental Processes: An Overview of and Guide for SFT Applications

Daniel R. Little, D. Little, M. Fific, 2017 .

Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence

David K. Sewell, S. Lewandowsky, D. Little, 2011, Behavioral and Brain Sciences.

Logical-Rule Based Models of Categorization: Using Systems Factorial Technology to Understand Feature and Dimensional Processing

Anthea G. Blunden, Daniel R. Little, Anthea G Blunden, 2017 .

Sequence-sensitive exemplar and decision-bound accounts of speeded-classification performance in a modified Garner-tasks paradigm

Daniel R. Little, R. Nosofsky, D. Little, 2016, Cognitive Psychology.

Error discounting in probabilistic category learning.

Daniel R. Little, S. Lewandowsky, D. Little, 2011, Journal of experimental psychology. Learning, memory, and cognition.

Sensitivity to correlation in probabilistic environments

Daniel R. Little, D. Little, 2008 .

Once more with feeling: Normative data for the aha experience in insight and noninsight problems

Daniel R. Little, D. Little, S. Cropper, 2017, Behavior Research Methods.

The appropriacy of averaging in the study of context effects

Daniel R. Little, Shi Xian Liew, Daniel R Little, 2016, Psychonomic Bulletin & Review.

Papers Please - Predictive Factors of National and International Attitudes Toward Immunity and Vaccination Passports: Online Representative Surveys

Daniel R. Little, S. Lewandowsky, Philipp Lorenz-Spreen, 2021, JMIR public health and surveillance.

Papers please: Predictive factors for national and international COVID-19 immunity and vaccination passport uptake as determined by representative surveys (Preprint)

Daniel R. Little, S. Lewandowsky, Philipp Lorenz-Spreen, 2021 .

The processing architectures of whole-object features: A logical-rules approach.

Tony Wang, Daniel R. Little, Daniel R Little, 2016, Journal of experimental psychology. Human perception and performance.

Searching for the highest number

P. Howe, D. Little, 2015, Attention, perception & psychophysics.

The contributions of convergent thinking, divergent thinking, and schizotypy to solving insight and non-insight problems

Daniel R. Little, D. Little, S. Cropper, 2017 .

“Aha!” is stronger when preceded by a “huh?”: presentation of a solution affects ratings of aha experience conditional on accuracy

Daniel R. Little, D. Little, S. Cropper, 2019, Thinking & Reasoning.

Can Attention Be Confined to Just Part of a Moving Object? Revisiting Target-Distractor Merging in Multiple Object Tracking

Daniel R. Little, Natalie C. Incledon, P. Howe, 2012, PloS one.

Better learning with more error: probabilistic feedback increases sensitivity to correlated cues in categorization.

Daniel R. Little, S. Lewandowsky, D. Little, 2009, Journal of experimental psychology. Learning, memory, and cognition.

Statistical analyses of the resilience function 1

Joseph W. Houpt, Daniel R. Little, D. Little, 2016 .

Understanding the influence of distractors on workload capacity

Tony Wang, Daniel R. Little, Mario Fific, 2015 .

Systems Factorial Technology analysis of mixtures of processing architectures

Joseph W. Houpt, Daniel R. Little, D. Little, 2019, Journal of Mathematical Psychology.

Composite Faces are not (Necessarily) Processed Coactively: A Test Using Systems Factorial Technology and Logical-Rule Models

Daniel R. Little, T. Palmeri, D. Little, 2018, Journal of experimental psychology. Learning, memory, and cognition.

Selective attention modulates the effect of target location probability on redundant signal processing

Daniel R. Little, D. Little, Cheng-Ta Yang, 2016, Attention, perception & psychophysics.

Classification response times in probabilistic rule-based category structures: Contrasting exemplar-retrieval and decision-boundary models

Daniel R. Little, R. Nosofsky, D. Little, 2010, Memory & cognition.

Public acceptance of privacy-encroaching policies to address the COVID-19 pandemic in the United Kingdom

Daniel R. Little, S. Lewandowsky, D. Little, 2020, PloS one.

Irrelevant Cues in Probabilistic Categorization 1 Beyond Non-Utilization : Irrelevant Cues Can Gate Learning in Probabilistic Categorization

Daniel R. Little, S. Lewandowsky, D. Little, 2008 .

Characterizing the time course of decision-making in change detection.

Daniel R. Little, Anthea G Blunden, P. Howe, 2021, Psychological review.

Wheel of Fortune: a Cross-cultural Examination of How Expertise Shapes the Mental Representations of Familiar and Unfamiliar Numerals

Daniel R. Little, Zachary L Howard, Zachary L. Howard, 2021, Computational Brain & Behavior.