Lilburn, S., Schall, J.D., Logan, G.D., & Palmeri, T.J. (in preparation). Confidence, choice, and response times from an ensemble of accumulators (working title). Manuscript in preparation.

Jeong, J., & Palmeri, T.J. (in preparation). Computational modeling of ensemble perception. Manuscript in preparation.

Sun, J., Jeong, J., C C. Gauthier, I., & Palmeri, T.J. (in preparation). Relations between ensemble perception and perceptual categorization (working title). Manuscript in preparation.

Chow, J.K., & Palmeri, T.J. (in preparation). Thinking in high-dimensional spaces (working title). Manuscript in preparation.

Boag, R.J., Innes, R.J., Stevenson, N., Bahg, G., Busemeyer, J.R., Cox, G.E., Donkin, C., Frank, M.J., Hawkins, G.E., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S.D., Logan, G.D., Matzke, D., Miletić, S., Osth, A.F., Palmeri, T.J., Sederberg, P.B., Singmann, H., Smith, P.L., Stafford, T., Steyvers, M., Strickland, L., Trueblood, J.S., Tsetsos, J., Turner, B.M., Usher, M., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Voss, A., Weichart, E.R., Weindel, G., White, C.N., Evans, N.J., Brown, S.D., Forstmann, B.U. (under review). An expert guide to planning experimental tasks for evidence accumulation modelling. Manuscript under review.Chow, J.K., & Palmeri, T.J. (under review). Manipulating and measuring variation in Deep Neural Network (DNN) representations of objects. Manuscript under review.

Shen, J., & Palmeri, T.J. (under revision). Modeling categorization by real-world perceptual experts. Manuscript under revision.

Bahg, G., Cox, G.E., Logan, G.D., Palmeri, T.J., & Schall, J.D. (under review). A computational model of visual search explains an attention-related event- related potential. Manuscript under review.

Lilburn, S., Cox, G.E., Logan, G.D., Schall, J.D., Zandbelt, B., & Palmeri, T.J. (under revision). Choice decision making by ensembles of accumulators. Manuscript under revision. PsyArXiv: https://psyarxiv.com/qdk7b/

Palmeri, T.J., & Gauthier, I. (in press). Object recognition. To appear in D.J. Calkins, V.A. Casagrande, J.D. Schall, & G.F. Woodman (Eds.), The Visual System, Sinauer Associates.

Chow, J.K., & Palmeri, T.J. (in press). Manipulating and measuring variation in Deep Neural Network (DNN) representations of objects. Cognition.

Chow, J.K., Palmeri, T.J., & Gauthier, I. (2024). Distinct but related abilities for visual and haptic object recognition. Psychonomic Bulletin & Review. [PDF]

Cox, G.E., Palmeri, T.J., Logan, G.D., Smith, P.L., & Schall, J.D. (2024). Spiking, salience, and saccades: Using cognitive models to bridge the gap between “how” and “why”. In B. Forstmann & B.M. Turner (Eds.), An Introduction to Model-Based Cognitive Neuroscience (2nd Ed.), Springer Neuroscience.

Mack, M.L., & Palmeri, T.J. (2024). Discrimination, recognition, and classification. In M.J. Kahana & A. Wagner (Eds.), Handbook on Human Memory, Oxford University Press. [PDF]

Chow, J.K., Palmeri, T.J., Pluck, G., & Gauthier, I. (2023). Evidence for an amodal domain-general object recognition ability. Cognition, 238. [PDF]

Umakantha, A., Purcell, B.A., & Palmeri, T.J. (2022). Relating a spiking neural network model and the diffusion model of decision making. Computational Brain & Behavior, 5, 279-301. [PDF]

Cox, G.E., Palmeri, T.J., Logan, G.D., Smith, P.L., Schall, J.D. (2022). Salience by competitive and recurrent interactions: Bridging neural spiking and computation in visual attention. Psychological Review, 129, 1144-1182. [PDF]

Chow, J.K., Palmeri, T.J., Gauthier, I. (2022). Visual object recognition ability is not related to experience with visual arts. Journal of Vision, 22. [PDF]

Chow, J.K., Palmeri, T.J., Mack, M.L. (2022). Revealing a competitive dynamic in rapid categorization with object substitution masking. Attention, Perception, & Performance, 84(3), 638-646. [PDF]

Carrigan, A.J., Charlton, A., Wiggins, M.W., Georgiou, A., Palmeri, T.J., & Curby, K.M. (2022). Cue utilisation reduces the impact of response bias in histopathology. Applied Ergonomics, 98, 103590.

Chow, J.K., Palmeri, T.J., Gauthier, I. (2022). Haptic object recognition based on shape relates to visual object recognition ability. Psychological Research, 86, 1262–1273. [PDF]

Carrigan, A.J., Charlton, A., Foucar, E., Wiggins, M., Georgiou, A., Palmeri, T.J., & Curby, K. (2022). The role of cue based strategies in skilled diagnosis amongst pathologists. Human Factors, 64, 1154-1167.

Annis, J., Gauthier, I., & Palmeri, T.J. (2021). Combining convolutional neural networks and cognitive models to predict novel object recognition in humans. Journal of Experimental Psychology: Learning, Memory, and Cognition, 47(5), 785-807. [PDF]

Carrigan, A.J., Magnussen, J., Georgiou, A., Curby, K.M., Palmeri, T.J., & Wiggins, M.W. (2021). Differentiating experience from cue utilization in radiological assessments. Human Factors, 63(4), 635-646.

Middlebrooks, P.G., Zandbelt, B.B., Logan, G.D., Palmeri, T.J., Schall, J.D. (2020). Unification of countermanding and perceptual decision-making. iScience, 23, 100777. [PDF]

Benear, S., Sunday, M.A., Palmeri, T.J., & Gauthier, I. (2019). Can art change the way we see? Psychology of Aesthetics, Creativity, and the Arts. [PDF]

Palmeri, T.J. (2019). On developing and testing cognitive models. Computational Brain & Behavioral, 2, 193-196. [PDF]

Servant, M., Tillman, G., Logan, G.D., Schall, J.D., & Palmeri, T.J. (2019). Neurally-constrained modeling of speed-accuracy tradeoff during visual search: Gated accumulation of modulated evidence. Journal of Neurophysiology, 121, 1300-1314. [PDF]

Annis, J., Evans, N.J., Miller, B.J., & Palmeri, T.J. (2019). Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: A tutorial for psychologists. Journal of Mathematical Psychology. [PDF]

Boehm, U., Annis, J., Frank, M.J., Hawkins, G.E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G.D., Palmeri, T.J., Servant, M., Singmann, H., van Ravenzwaaij, D., Wiecki, T.V., Starns, J.J., Voss, A., Matzke, D., Wagenmakers, E.-J. (2019). Estimating between-trial variability parameters of the drift diffusion model: Expert advice and recommendations. Journal of Mathematical Psychology. [PDF]

Annis, J., & Palmeri, T. J. (2019). Modeling memory dynamics in visual expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45, 1599-1618. [PDF]

Ross, D.A., Tamber-Rosenau, B.J., Palmeri, T.J., Zhang, J.D., Xu, Y. & Gauthier, I. (2018). High resolution fMRI reveals configural processing of cars in anterior Fusiform Face Area of car experts. Journal of Cognitive Neuroscience. [PDF]

Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A.-M., Kupitz, C.-N., Leite, F.P. Lerche, V., Lin, Y.S., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., & Donkin, C. (2018). The quality of response time data inference: A blinded, collaborative approach to the validity of cognitive models. Psychonomic Bulletin & Review. [PDF]

Annis, J., & Palmeri, T.J. (2018). Bayesian statistical approaches to evaluating cognitive models. Wiley Interdisciplinary Reviews in Cognitive Science. [PDF]

Cheng, X.J., McCarthy, C., Wang, T.S.L., Palmeri, T.J., & Little, D.R. (2018). Composite faces are not (necessarily) processed coactively: A test using Systems Factorial Technology and logical-rule models. Journal of Experimental Psychology: Learning, Memory, and Cognition. [PDF]

Annis, J., Miller, B.J., & Palmeri, T.J. (2018). Bayesian inference with Stan: A tutorial on adding custom distributions. Behavioral Research Methods. [PDF]

Vogelsang, M.D., Palmeri, T.J., Busey, T.A. (2017). Holistic processing of fingerprints by expert forensic examiners. Cognitive Research: Principles and Implications, 2: 15. [PDF]

Schall, J.D. Palmeri, T.J., & Logan, G.D. (2017). Models of inhibitory control. Philosophical Transactions of the Royal Society B, 372: 20160193. [PDF]

Purcell, B.A., & Palmeri, T.J. (2017). Relating accumulator model parameters and neural dynamics. Journal of Mathematical Psychology, 76, 156-171. [PDF]

Turner, B.M., Forstmann, B.U., Love, B., Palmeri, T.J., & Van Maanen, L. (2017). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology, 76, 65-79. [PDF]

Palmeri, T.J., Love, B.C., & Turner, B.M. (2017). Model-based cognitive neuroscience. Journal of Mathematical Psychology, 76, 59-64. [PDF]

Shen, J., & Palmeri, T.J. (2016). Modeling individual differences in visual categorization. Visual Cognition, 24, 260-283. [PDF]

Ross, D.A., & Palmeri, T.J. (2016). The importance of formalizing computational models of face adaptation aftereffects. Frontiers in Psychology. [PDF]

Mack, M.L., & Palmeri, T.J. (2015). The dynamics of categorization: Unraveling rapid categorization. Journal of Experimental Psychology: General, 144, 551-569. [PDF]

Palmeri, T.J., & Mack, M.L. (2015). How experimental trial context affects perceptual category learning. Frontiers in Psychology. [PDF]

Logan, G.D., Yamaguchi, M., Schall, G.D., & Palmeri, T.J. (2015). Inhibitory control in mind and brain 2.0: A blocked-input model of saccadic countermanding. Psychological Review, 122, 115-147. [PDF]

Richler, J.J., Palmeri, T.J., & Gauthier, I. (2015). Holistic processing does not require configural variability. Psychonomic Bulletin & Review, 22, 974-979. [PDF]

Palmeri, T.J., Schall, J.D. & Logan, G.D. (2015). Neurocognitive modelling of perceptual decisions. In J.R. Busemeyer, J. Townsend, Z.J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology, Oxford University Press. [PDF]

Nosofsky, R.M., & Palmeri, T.J. (2015). Exemplar-based random walk model. In J.R. Busemeyer, J. Townsend, Z.J. Wang, & A. Eidels (Eds.), Mathematical and Computational Models of Cognition, Oxford University Press. [PDF]

Logan, G.D., Schall, J.D., & Palmeri, T.J. (2015). Neural models of stopping and going. In B. Forstmann & E.J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience, Springer Neuroscience. [PDF]

Shen, J., & Palmeri, T.J. (2015). The perception of a face is greater than the sum of its parts. Psychonomic Bulletin & Review, 22, 710-716. [PDF]

Folstein, J., Palmeri, T.J., & Gauthier, I. (2015). Perceptual advantage for category-relevant perceptual dimensions: The case of shape and motion. Frontiers in Psychology. [PDF]

Folstein, J., Palmeri, T.J., Van Gulick, A.B., & Gauthier, I. (2015). Category learning stretches neural representations in visual cortex. Current Directions in Psychological Science, 24, 17-23. [PDF]

Shen, J., Mack, M.L., & Palmeri, T.J. (2014). Studying real-world perceptual expertise. Frontiers in Psychology. [PDF]

Zandbelt, B.B., Purcell, B.A., Palmeri, T.J., Logan, G.D., Schall, J.D. (2014). Response times from ensembles of accumulators. Proceedings of the National Academy of Sciences, 111, 2848-2853. [PDF]

Palmeri, T.J. (2014). An exemplar of model-based cognitive neuroscience. Trends in Cognitive Science, 18(2), 67-69. [PDF]

Richler, J.J., & Palmeri, T.J. (2014). Visual category learning. Wiley Interdisciplinary Reviews in Cognitive Science, 5, 75-94 [PDF]

Ross, D.A., Deroche, M., & Palmeri, T.J. (2014). Not just the norm: Exemplar-based models also predict face aftereffects. Psychonomic Bulletin & Review, 21, 47-70. [PDF]

Richler, J.J., Palmeri, T.J., & Gauthier, I. (2013). How does using object names influence visual recognition memory? Journal of Memory and Language, 68, 10-25. [PDF]

Folstein, J., Palmeri, T.J., Gauthier, I (2013). Category learning increases discriminability of relevant object dimensions in visual cortex. Cerebral Cortex, 23(4), 814-823. [PDF]

Richler, J.J., Palmeri, T.J., & Gauthier, I. (2012). Meanings, mechanisms, and measures of holistic processing. Frontiers in Psychology. [PDF]

Lewandowsky, S., Palmeri, T.J., & Waldmann, M.R. (2012). Introduction to special section on theory and data in categorization: Integrating computational, behavioral, and cognitive neuroscience approaches. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 803-806. [PDF]

Purcell, B.A., Schall, J.D., Logan, G.D., & Palmeri, T.J. (2012). Gated stochastic accumulator model of visual search decisions in FEF. Journal of Neuroscience, 32(10), 3433-3446. [PDF]

Folstein, J., Gauthier, I., & Palmeri, T.J. (2012). Not all morph spaces stretch alike: How category learning affects object discrimination. Journal of Experimental Psychology: Learning, Memory, and Cognition. [PDF]

Pouget, P., Logan, G.D., Palmeri, T.J., Boucher, L., Paré, M., & Schall, J.D. (2011). Neural basis of adaptive response time adjustment during saccade countermanding. Journal of Neuroscience, 31(35), 12604-12612. [PDF]

Mack, M.L., & Palmeri, T.J. (2011). The timing of visual object recognition and categorization. Frontiers in Perception Science. [PDF]

Schall, J.D., Purcell, B.A., Heitz, R.P., Logan, G.D., & Palmeri, T.J. (2011). Neural mechanisms of saccade target selection: Gated accumulator model of visual-motor cascade. European Journal of Neuroscience. [PDF]

Richler, J.J., Gauthier, I., & Palmeri, T.J. (2011). Automaticity of basic-level categorization accounts for labeling effects in visual recognition memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(6), 1579-1587. [PDF]

Richler, J.J., Mack, M.L., Palmeri, T.J., & Gauthier, I. (2011). Inverted faces are (eventually) processed holistically. Vision Research, 51, 333-342. [PDF]

Mack, M.L., Richler, J.J., Gauthier, I., & Palmeri, T.J. (2011). Indecision on decisional separability. Psychonomic Bulletin & Review. [PDF]

Folstein, J., Gauthier, I., & Palmeri, T.J. (2010). Mere exposure alters category learning of novel objects. Frontiers in Cognitive Science. [PDF]

Mack, M.L., & Palmeri, T.J. (2010). Decoupling object detection and categorization. Journal of Experimental Psychology: Human Perception and Performance. [PDF]

Purcell, B.A., Heitz, R.P., Cohen, J.Y., Schall, J.D., Logan, G.D., & Palmeri, T.J. (2010). Neurally-constrained modeling of perceptual decision making. Psychological Review, 117, 1113-1143. [PDF]

Nelson, M.J., Boucher, L., Logan, G.D., Palmeri, T.J., Schall, J.D. (2010). Impact of nonstationary response time in stopping and stepping saccade tasks. Attention, Perception, & Performance. [PDF]

Mack, M.L., & Palmeri, T.J. (2010). Modeling categorization of scenes containing consistent versus inconsistent objects. Journal of Vision, 10(3):11, 1-11. [PDF]

Gauthier, I., Wong, A.C.-N., Palmeri, T.J. (2010). Manipulating visual experience: Comment on Op de Beeck and Baker. Trends in Cognitive Science, 14, 235-236. [PDF]

Mack, M.L., Wong, A.C.-N., Gauthier, I., Tanaka, J.W., & Palmeri, T.J. (2009). Time-course of visual object categorization: Fastest does not necessarily mean first. Vision Research, 49, 1961-1968. [PDF]

Wong, A.C.-N., Palmeri, T.J., Rogers, B.P., Gore, J.C., & Gauthier, I. (2009). Beyond shape: How you learn about objects affects how they are represented in visual cortex. PLoS One, 4(12), e8405. [PDF]

Richler, J.J., Mack, M.L., Gauthier, I., & Palmeri, T.J. (2009). Holistic processing of faces at a glance. Vision Research, 49, 2856-2861. [PDF]

Wong, A.C.-N., Palmeri, T.J., & Gauthier I. (2009). Conditions for face-like expertise with objects: Becoming a Ziggerin expert – but which type? Psychological Science, 20, 1108-1117. [PDF]

Mack, M.L., Richler, J.J., Palmeri, T.J., Gauthier, I. (2009). Categorization. In G.G Berntson & J.T. Cacioppo (Eds.), Handbook of Neuroscience for the Behavioral Sciences. [PDF]

Palmeri, T.J., & Cottrell, G. (2009). Modeling perceptual expertise. In D. Bub, M. Tarr, & I. Gauthier (Eds.), Perceptual Expertise: Bridging Brain and Behavior. Oxford University Press. [PDF]

Purcell, B.A., Schall, J.D., & Palmeri, T.J. (2009). Discrete versus continuous flow of information: Relating neural activity and the drift diffusion model. Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society, Amsterdam, The Netherlands.

Mack, M.L., & Palmeri, T.J. (2009). Recognizing scenes containing consistent or inconsistent objects. Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society, Amsterdam, The Netherlands.

Cheung, O.S., Richler, J.J., Palmeri, T.J., & Gauthier, I. (2008). Revisiting the role of spatial frequencies in the holistic processing of faces. Journal of Experimental Psychology: Human Perception and Performance, 34, 1327-1336. [PDF]

Palmeri, T.J., & Tarr (2008). Object recognition and long-term visual memory for objects. In S. Luck & A. Hollingsworth (Eds.), Visual Memory. Oxford University Press. [PDF]

Richler, J., Gauthier, I., Wenger, M., & Palmeri, T.J. (2008). Holistic processing of faces: Perceptual and decisional components. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 328-342. [PDF] [Supplemental Information]

Mack, M., Gauthier, I., Sadr, J., & Palmeri, T.J. (2008). Object detection and basic-level categorization: Sometimes you know it is there before you know what it is. Psychonomic Bulletin & Review, 15(1), 28-35. [PDF]

Richler, J.J., Mack, M.L., Gauthier, I., Palmeri, T.J. (2007). Distinguishing between perceptual and decisional sources of holism in face processing. In the Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society.

Mack, M.L., Wong, A.C.-N., Gauthier, I., Tanaka, J.W., & Palmeri, T.J. (2007). Unraveling the time-course of perceptual categorization: Does fastest mean first? In the Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society.

Camalier, C.R., Gotler, A., Murthy, A., Thompson, K.G., Logan, G.D., Palmeri, T.J., Schall, J.D. (2007). Dynamics of saccade target selection: Race model analysis of double step and search step saccade production in human and macaque. Vision Research. [PDF]

Boucher, L., Palmeri, T.J., Logan, G.D., Schall, J.D. (2007). Inhibitory control in mind and brain: An interactive race model of countermanding saccades. Psychological Review, 114, 376-397. [PDF]

Boucher, L., Stuphorn, V., Logan, G.D., Schall, J.D., & Palmeri, T.J. (2007). Stopping eye and hand movements: Are the processes independent? Perception & Psychophysics. [PDF]

Luhmann, C., Ahn, W.-K., & Palmeri, T.J. (2006). Theory-based categorization under speeded conditions. Memory & Cognition. [PDF]

Kim, C.-Y., Blake, R., & Palmeri, T.J. (2005). Perceptual interaction between real and synesthetic colors. Cortex. [PDF]

Palmeri, T.J., Wong, A.C.-N., & Gauthier, I. (2004). Computational approaches to the development of perceptual expertise. Trends in Cognitive Science, 8, 378-386. [PDF]

Palmeri, T.J., & Gauthier, I. (2004). Visual object understanding. Nature Reviews Neuroscience, 5, 291-303. [PDF]

Blake, R.B., Palmeri, T.J., Marois, R., & Kim, C.-Y. (2003). On the perceptual reality of synesthetic color. In L. Robertson & N. Sagiv (Eds.), Attention on Synesthesia: Cognition, Development, and Neurobiology. [PDF]

Johansen, M.K., & Palmeri, T.J. (2002). Are there representational shifts during category learning? Cognitive Psychology, 45, 482-553. [PDF]

Viken, R.J., Treat, T.A., Nosofsky, R.M., McFall, R.M., & Palmeri, T.J. (2002). Modeling individual differences in perceptual and attentional processes related to bulimic symptoms. Journal of Abnormal Psychology, 111, 598-609. [PDF]

Palmeri, T.J., & Noelle, D. (2002). Concept learning. In M.A. Arbib (Ed.), The Handbook of Brain Theory and Neural Networks, MIT Press. [PDF]

Palmeri, T.J. (2002). Automaticity. In L. Nadel et al. (Eds.), Encyclopedia of Cognitive Science (pp. 390-401), Nature Publishing Group, London. [PDF]

Luhmann, C.C., Ahn, W.-K., & Palmeri, T.J. (2002). Theories and similarity: Categorization under speeded conditions. Proceedings of the Twenty-Fourth Annual Meeting of the Cognitive Science Society, 590-595. [PDF]

Palmeri, T.J., Blake, R.B., & Marois, R. (2002). What is synesthesia? Scientific American On-Line. [web page]

Palmeri, T.J., & Flanery, M.A. (2002). Memory systems and perceptual categorization. In B.H. Ross (Ed.), The Psychology of Learning and Motivation (Volume 41), Academic Press. [PDF]

Gauthier, I., & Palmeri, T.J. (2002). Visual neurons: Categorization-based selectivity. Current Biology, 12, R282-R284. [PDF]

Palmeri, T.J., Blake, R.B., Marois, R., Flanery, M.A., & Whetsell, W.O. (2002). The perceptual reality of synesthetic color. Proceedings of the National Academy of Sciences, 99, 4127-4131. [PDF]

Flanery, M.A., Palmeri, T.J., & Schaper, B.L. (2001). Investigating dissociations between perceptual categorization and explicit memory. Proceedings of the Twenty-Third Annual Meeting of the Cognitive Science Society, Edinburgh, Scotland. [PDF]

Palmeri, T.J., & Flanery, M.A. (2001). Prototype abstraction in category learning? Proceedings of the Twenty-Third Annual Meeting of the Cognitive Science Society, Edinburgh, Scotland. [PDF]

Palmeri, T.J. (2001). The time course of perceptual categorization. In M. Ramscar & U. Hahn (Eds.), Similarity and Categorization (pp. 193-224), Oxford University Press. [PDF]

Palmeri, T.J., & Nosofsky, R.M. (2001). Central tendencies, extreme points, and prototype enhancement effects in ill-defined perceptual categorization. The Quarterly Journal of Experimental Psychology, 54, 197-235. [PDF]

Palmeri, T.J., & Blalock, C. (2000). The role of background knowledge in speeded perceptual categorization. Cognition, 77, B45-B57. [PDF]

Palmeri, T.J. (1999). Learning hierarchically structured categories: A comparison of category learning models. Psychonomic Bulletin & Review, 6, 495-503. [PDF]

Palmeri, T.J. (1999). Theories of automaticity and the power law of practice. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 543–551. [PDF]

Palmeri, T.J., & Blalock, C. (1999). The time-course of the use of background knowledge in perceptual categorization. In M. Hahn & S.C. Stoness (Eds.), Proceedings of the Twenty-first Annual Meeting of the Cognitive Science Society (pp. 519-524), Lawrence Erlbaum Associates: Mahwah, NJ. [PDF]

Palmeri, T.J., & Flanery, M.A. (1999). Investigating the relationship between perceptual categorization and recognition memory through induced profound amnesia. In M. Hahn & S.C. Stoness (Eds.), Proceedings of the Twenty-first Annual Meeting of the Cognitive Science Society (pp. 513-518), Lawrence Erlbaum Associates: Mahwah, NJ. [PDF]

Palmeri, T.J., & Flanery, M.A. (1999). Learning about categories in the absence of training: Profound amnesia and the relationship between perceptual categorization and recognition memory. Psychological Science, 10, 526-530. [PDF]

Nosofsky, R.M., & Palmeri, T.J. (1998). A rule-plus-exception model for classifying objects in continuous-dimension spaces. Psychonomic Bulletin & Review, 5, 345-369. [PDF]

Palmeri, T.J. (1998). Formal models and feature creation. Behavioral and Brain Sciences, 21, 33-34.

Nosofsky, R.M., & Palmeri, T.J. (1997). An exemplar-based random walk model of speeded classification. Psychological Review, 104, 266-300. [PDF] [Click Here for erratum]

Nosofsky, R.M., & Palmeri, T.J. (1997). Comparing exemplar-retrieval and decision-bound models of speeded perceptual classification. Perception & Psychophysics, 59, 1027-1048. [PDF]

Palmeri, T.J. (1997). Exemplar similarity and the development of automaticity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 324-354. [PDF]

Palmeri, T.J. (1997). An exemplar-based random walk model of perceptual categorization. In M. Ramscar, U. Hahn, E. Cambouropolos, & H. Pain (Eds.), Proceedings of the Interdisciplinary Workshop On Similarity And Categorisation (pp. 181-187), Edinburgh, Scotland: University of Edinburgh.

Nosofsky, R.M., & Palmeri, T.J. (1996). Learning to classify integral-dimension stimuli. Psychonomic Bulletin & Review, 3, 222-226. [PDF]

Palmeri, T.J., & Nosofsky, R.M. (1995). Recognition memory for exceptions to the category rule. Journal of Experiment Psychology: Learning, Memory, and Cognition, 21, 548-568. [PDF]

Nosofsky, R.M., Palmeri, T.J., & McKinley, S.C. (1994). Rule-plus-exception model of classification learning. Psychological Review, 101, 53-79. [PDF]

Nosofsky, R.M., Gluck, M., Palmeri, T.J., McKinley, S.C., & Glauthier, P. (1994). Comparing models of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961). Memory & Cognition, 22, 352-369. [PDF]

Palmeri, T.J., & Nosofsky, R.M. (1993). Generalizations by rule models and exemplar models of category learning. In W. Kintsch (Ed.), Proceedings of the Fifteenth Annual Meeting of the Cognitive Science Society (pp. 794-799). Hillsdale, NJ: Erlbaum.

Palmeri, T.J., Goldinger, S.D., & Pisoni, D.B. (1993). Episodic encoding of voice attributes and recognition memory for spoken words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 309-328. [PDF]

Goldinger, S.D., Palmeri, T.J., & Pisoni, D.B. (1992). Words and voices: Perceptual details are preserved in lexical representations. In J. Ohala, T. Neary, B. Derwing, M. Hodge, & G. Wiebe (Eds.), Proceedings of the International Conference on Spoken Language Processing (pp. 591-594), Banff, Alberta, Canada: University of Alberta Press.