F. Gregory Ashby

Q: What Schools Are Affiliated With F. Gregory Ashby

F. Gregory Ashby is affiliated with the following schools: University of Texas at Austin, University of California, Santa Barbara, Purdue University

F. Gregory Ashby's AcademicInfluence.com Rankings

F. Gregory Ashby

Psychology

#1931

World Rank

#2279

Historical Rank

Cognitive Psychology

#214

World Rank

#221

Historical Rank

psychology Degrees

Download Badge

Psychology

Why Is F. Gregory Ashby Influential?

(Suggest an Edit or Addition)

According to Wikipedia, F. Gregory Ashby is a Distinguished Professor Emeritus of Psychological & Brain Sciences at the University of California, Santa Barbara . He is known for his work in mathematical psychology, cognitive psychology, and cognitive neuroscience.

(See a Problem?)

F. Gregory Ashby's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A neuropsychological theory of positive affect and its influence on cognition. (1999) (2146)
The Stochastic Modeling of Elementary Psychological Processes (1983) (1417)
A neuropsychological theory of multiple systems in category learning. (1998) (1178)
Human category learning. (2005) (933)
Varieties of perceptual independence. (1986) (760)
Decision rules in the perception and categorization of multidimensional stimuli. (1988) (614)
Influence of positive affect on the subjective utility of gains and losses: it is just not worth the risk. (1988) (559)
Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses (2012) (523)
Toward a Unified Theory of Similarity and Recognition (1988) (434)
Cortical and basal ganglia contributions to habit learning and automaticity (2010) (420)
Comparing decision bound and exemplar models of categorization (1993) (398)
Relations between prototype, exemplar, and decision bound models of categorization (1993) (377)
Methods of Modeling Capacity in Simple Processing Systems (2014) (374)
Delayed feedback effects on rule-based and information-integration category learning. (2003) (322)
The effects of concurrent task interference on category learning: Evidence for multiple category learning systems (2001) (294)
The neurobiology of human category learning (2001) (288)
Dissociating explicit and procedural-learning based systems of perceptual category learning (2004) (275)
A neurobiological theory of automaticity in perceptual categorization. (2007) (274)
Human category learning 2.0 (2011) (273)
Category learning and multiple memory systems (2005) (257)
Categorization as probability density estimation (1995) (235)
Multidimensional models of categorization. (1992) (223)
On the nature of implicit categorization (1999) (217)
Observational versus feedback training in rule-based and information-integration category learning (2002) (211)
Measurement Scales and Statistics: The Misconception Misconceived (1984) (210)
On the Dangers of Averaging Across Subjects When Using Multidimensional Scaling or the Similarity-Choice Model (1994) (208)
Procedural learning in perceptual categorization (2003) (205)
On the dominance of unidimensional rules in unsupervised categorization (1999) (201)
Predicting similarity and categorization from identification. (1991) (200)
Complex decision rules in categorization : contrasting novice and experienced performance (1992) (197)
A response time theory of separability and integrality in speeded classification (1994) (172)
A formal theory of feature binding in object perception. (1996) (168)
Disrupting feedback processing interferes with rule-based but not information-integration category learning (2004) (163)
Category learning deficits in Parkinson's disease. (2003) (149)
FROST: A Distributed Neurocomputational Model of Working Memory Maintenance (2005) (143)
Learning robust cortico-cortical associations with the basal ganglia: An integrative review (2015) (140)
Multidimensional Models of Perception and Cognition (2014) (139)
MULTIPLE SYSTEMS OF PERCEPTUAL CATEGORY LEARNING: THEORY AND COGNITIVE TESTS (2005) (137)
THE ROLE OF THE BASAL GANGLIA IN CATEGORY LEARNING (2006) (127)
The effects of positive affect and arousal and working memory and executive attention: Neurobiology and computational models. (2002) (122)
Subitizing: Magical numbers or mere superstition? (1992) (119)
Integrating information from separable psychological dimensions. (1990) (113)
Decomposing the reaction time distribution: Pure insertion and selective influence revisited☆ (1980) (100)
Implicit and explicit categorization: A tale of four species (2012) (93)
Deriving Exact Predictions From the Cascade Model (1982) (89)
Experimental test of contemporary mathematical models of visual letter recognition. (1982) (87)
Statistical Analysis of fMRI Data (2011) (86)
Perceptual separability, decisional separability, and the identification-speeded classification relationship. (1996) (86)
Cortical and striatal contributions to automaticity in information-integration categorization (2011) (83)
Perceptual variability as a fundamental axiom of perceptual science (1993) (80)
A biased random walk model for two choice reaction times (1983) (80)
Automaticity in rule-based and information-integration categorization (2010) (79)
Evidence for Cortical Automaticity in Rule-Based Categorization (2010) (78)
Categorization response time with multidimensional stimuli (1994) (77)
The neurobiology of category learning. (2004) (77)
Suboptimality in human categorization and identification. (2001) (75)
Pigeons’ categorization may be exclusively nonanalytic (2011) (75)
11. The effects of positive affect and arousal on working memory and executive attention (2002) (74)
Spatiotemporal activity estimation for multivoxel pattern analysis with rapid event-related designs (2012) (74)
Is subitizing a unique numerical ability? (1991) (72)
Implicit and explicit category learning by macaques (Macaca mulatta) and humans (Homo sapiens). (2010) (71)
Computational cognitive neuroscience (2009) (71)
A Computational Model of How Cholinergic Interneurons Protect Striatal-dependent Learning (2011) (64)
Response time distributions in memory scanning (1993) (61)
Multivariate probability distributions. (1992) (58)
A tutorial on computational cognitive neuroscience: Modeling the neurodynamics of cognition (2011) (58)
Deferred Feedback Sharply Dissociates Implicit and Explicit Category Learning (2014) (57)
Analogical transfer in perceptual categorization (2012) (56)
Interactions between declarative and procedural-learning categorization systems (2010) (55)
Category label and response location shifts in category learning (2009) (53)
Single versus Multiple Systems of Learning and Memory (2002) (53)
Automaticity and multiple memory systems. (2012) (52)
A role for the perceptual representation memory system in category learning (2008) (52)
The cognitive neuroscience of implicit category learning (2003) (51)
Response processes in information–integration category learning (2008) (50)
Response time distributions in multidimensional perceptual categorization (1998) (49)
Estimating the parameters of multidimensional signal detection theory from simultaneous ratings on separate stimulus components (1988) (47)
Initial Training With Difficult Items Facilitates Information Integration, but Not Rule-Based Category Learning (2008) (45)
Testing the assumptions of exponential, additive reaction time models (1982) (45)
Multiple attention systems in perceptual categorization (2002) (43)
The effects of category overlap on information-integration and rule-based category learning (2006) (43)
General recognition theory with individual differences: a new method for examining perceptual and decisional interactions with an application to face perception (2015) (42)
Perceptual sampling of orthogonal straight line features (1981) (41)
Formal Approaches in Categorization: COVIS (2011) (39)
Multidimensional Signal Detection Theory (2015) (37)
Chapter 4 – Stimulus Categorization (1998) (37)
Selective attention and the formation of linear decision boundaries: comment on McKinley and Nosofsky (1996). (1998) (36)
Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory (2015) (35)
Single versus multiple systems of category learning: Reply to Nosofsky and Kruschke (2002) (2002) (34)
The Neuropsychological Bases of Category Learning (2000) (34)
A Response Time Theory of Perceptual Independence (1991) (33)
A neurocomputational account of cognitive deficits in Parkinson's disease (2012) (32)
A neural interpretation of exemplar theory. (2017) (31)
On the relationship among identification, similarity, and categorization: Reply to Nosofsky and Smith (1992). (1992) (30)
Learning and transfer of category knowledge in an indirect categorization task (2012) (29)
A model of dopamine modulated cortical activation (2003) (29)
Implicit and explicit category learning by capuchin monkeys (Cebus apella). (2012) (29)
What makes a categorization task difficult? (2002) (28)
A test of visual feature sampling independence with orthogonal straight lines (1980) (28)
Is state-trace analysis an appropriate tool for assessing the number of cognitive systems? (2014) (28)
Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease (2012) (27)
Erasing the engram: the unlearning of procedural skills. (2013) (26)
Categorization training increases the perceptual separability of novel dimensions (2015) (25)
A neurocomputational theory of how explicit learning bootstraps early procedural learning (2013) (23)
Unsupervised category learning with integral-dimension stimuli (2012) (23)
Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis (2013) (23)
Fitting computational models to fMRI data (2008) (23)
Simulating category learning and set shifting deficits in patients weight-restored from anorexia nervosa. (2014) (22)
The impact of category separation on unsupervised categorization (2012) (22)
Chapter 25 – MULTIPLE SYSTEMS OF PERCEPTUAL CATEGORY LEARNING: THEORY AND COGNITIVE TESTS (2005) (22)
Neural networks underlying the metacognitive uncertainty response (2015) (20)
Procedural learning during declarative control. (2015) (19)
Generalization of category knowledge and dimensional categorization in humans (Homo sapiens) and nonhuman primates (Macaca mulatta). (2015) (18)
Differential effects of dopamine-directed treatments on cognition (2015) (18)
The relative sensitivities of same-different and identification judgment models to perceptual dependence (1993) (17)
Testing Separability and Independence of Perceptual Dimensions with General Recognition Theory: A Tutorial and New R Package (grtools) (2016) (16)
A probabilistic multidimensional model of location information (1994) (15)
An Introduction to fMRI (2015) (15)
The role of feedback contingency in perceptual category learning. (2016) (15)
Similarity measures (2007) (15)
Context-dependent savings in procedural category learning (2014) (14)
Expanding the role of striatal cholinergic interneurons and the midbrain dopamine system in appetitive instrumental conditioning. (2016) (13)
Procedural learning of unstructured categories (2012) (13)
Information–integration category learning and the human uncertainty response (2010) (13)
The alicPrep statistic as a measure of confidence in model fitting (2008) (13)
Dissociations between rule-based and information-integration categorization are not caused by differences in task difficulty (2019) (13)
The time course of explicit and implicit categorization (2015) (13)
The Categorization Experiment : Experimental Design and Data Analysis (2016) (13)
Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience (2017) (12)
Testing analogical rule transfer in pigeons (Columba livia) (2019) (12)
A THURSTONE-COOMBS MODEL OF CONCURRENT RATINGS WITH SENSORY AND LIKING DIMENSIONS (2002) (11)
Multiple Systems of Perceptual Category Learning (2017) (11)
A neurocomputational model of automaticity and maintenance of abstract rules (2009) (11)
A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing (2014) (11)
A Test for Perceptual Independence With Dissimilarity Data (1991) (10)
Cross-modal information integration in category learning (2014) (10)
What is automatized during perceptual categorization? (2016) (10)
Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging data (2018) (9)
Dissociable changes in functional network topology underlie early category learning and development of automaticity (2014) (9)
Trial-by-trial identification of categorization strategy using iterative decision-bound modeling (2017) (9)
A Neurocomputational Model of Automatic Sequence Production (2015) (9)
Novel representations that support rule-based categorization are acquired on-the-fly during category learning (2019) (8)
Trial-by-trial switching between procedural and declarative categorization systems (2018) (8)
Comparing the biased choice model and multidimensional decision bound models of identification (1992) (8)
Retinal-specific category learning (2018) (8)
Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach (2016) (8)
State-trace analysis misinterpreted and misapplied: Reply to Stephens, Matzke, and Hayes (2019) (2019) (6)
The Neurodynamics of Cognition: A Tutorial on Computational Cognitive Neuroscience. (2011) (6)
A difficulty predictor for perceptual category learning (2019) (5)
Declarative strategies persist under increased cognitive load (2016) (5)
Simulating the Effect of Dopamine Imbalance on Cognition : From Positive Affect to Parkinson ' s Disease (2014) (5)
Fitting computational models to fMRI. (2008) (5)
Hierarchical control of procedural and declarative category-learning systems (2017) (5)
Human Category Learning , Neural Basis (4)
Simulating Parkinson's disease patient deficits using a COVIS-based computational model (2011) (4)
Resurrecting Information Theory@@@Information, Sensation, and Perception (1995) (4)
Increased Cognitive Load Enables Unlearning in Procedural Category Learning (2018) (4)
The neurobiology of categorization (2010) (4)
Response processes in information-integration category learning q (2008) (3)
Counting and timing models in psychophysics and the conjoint Weber's law (1987) (3)
A neurocomputational theory of how rule-guided behaviors become automatic. (2021) (3)
Dynamical trajectories in category learning (2004) (3)
Categorization and Similarity Models: Neuroscience Applications (2001) (3)
Pattern recognition by human and machine: Yoh-Han Pao. Adaptive Pattern Recognition and Neural Networks. Reading, MA: Addison-Wesley, 1989. Pp. xvii + 299 + index. $37.75 (1992) (2)
Quantitative modeling of category learning deficits in various patient populations. (2017) (2)
Response-mode shifts during sequence learning of macaque monkeys (2013) (2)
The impact of category separation on unsupervised categorization (2011) (2)
The Neural Basis of General Recognition Theory (2015) (2)
A role for the medial temporal lobes in category learning (2020) (1)
Computational Neuroscientific Models of Categorization (2021) (1)
**** Manuscript in press in the IJCNN11 Special Issue of Neural Networks **** Simulating the Effects of Dopamine Imbalance on Cognition: From Positive Affect to Parkinson's Disease (2012) (1)
Linear separability, irrelevant variability, and categorization difficulty. (2021) (1)
When instructions don't help: Knowing the optimal strategy facilitates rule-based but not information-integration category learning. (2021) (1)
In E. M. Pothos & A.J. Wills (Eds.), Formal approaches in categorization. New York: Cambridge University Press. COVIS (2010) (0)
Is state-trace analysis an appropriate tool for assessing the number of cognitive systems? (2014) (0)
Journal of Experimental Psychology : Learning , Memory , and Cognition Procedural Learning During Declarative Control (2015) (0)
Trial-by-trial switching between procedural and declarative categorization systems (2016) (0)
Analogical transfer in perceptual categorization (2011) (0)
Procedural learning of unstructured categories (2012) (0)
Declarative strategies persist under increased cognitive load (2015) (0)
Modulation of Dopamine for Adaptive Learning: a Neurocomputational Model (2020) (0)
ON THE ROLE OF PURE INSERTION AND SELECTIVE INFLUENCE IN REACTION TIME THEORIZING: EXTENSIONS TO THE DISTRIBUTIONAL LEVEL (1980) (0)
The time course of explicit and implicit categorization (2015) (0)
Categorization as a Special Case of Decision-Making or Choice (2019) (0)
Retinal-specific category learning (2018) (0)
Novel representations that support rule-based categorization are acquired on-the-fly during category learning (2019) (0)
Dissociations between rule-based and information-integration categorization are not caused by differences in task difficulty (2019) (0)
A general recognition theory model for identifying an ideal stimulus (2022) (0)
Toward a theory of experienced categorization (1989) (0)
Learning and transfer of category knowledge in an indirect categorization task (2011) (0)
Modulation of Dopamine for Adaptive Learning: a Neurocomputational Model (2020) (0)
Book Reviews : Volume III: Representation, Axiomatization, and Invariance (1991) (0)
Cross-modal information integration in category learning (2014) (0)
Response-mode shifts during sequence learning of macaque monkeys (2011) (0)
Analogical Transfer of Categorization in Humans (Homo sapiens) and Monkeys (Macaca mulatta): (630982013-016) (2013) (0)
Title : A neurocomputational model of automatic sequence production Abbreviated title : Automaticity in sequence production (2015) (0)
Mathematical Models of Human Learning (2021) (0)
Author ' s personal copy A neurocomputational account of cognitive deficits in Parkinson ’ s disease (2012) (0)
General recognition theory with individual differences: a new method for examining perceptual and decisional interactions with an application to face perception (2014) (0)
Trial-by-trial identification of categorization strategy using iterative decision-bound modeling (2016) (0)
Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory (2015) (0)
**** Manuscript in press in Neuropsychologia **** A neurocomputational account of cognitive deficits in Parkinson's disease (2012) (0)
On what it means to automatize a rule (2022) (0)
MULTIVARIATE MODELS OF PREFERENCE AND CH O ICE (2014) (0)
Length of the state trace: A method for partitioning model complexity (2023) (0)

This paper list is powered by the following services:

Other Resources About F. Gregory Ashby

en.wikipedia.org

What Schools Are Affiliated With F. Gregory Ashby?

F. Gregory Ashby is affiliated with the following schools: