REBERLAB

 

Department of Psychology

Northwestern University

Overview readings recommended for background

  • Reber, P.J., Batterink, L.J., Thompson, K.R. & Reuveni, B. (2019).  Implicit Learning: History and Applications. In Implicit Learning (Eds. A. Cleeremans), Psychology Press. Reber Implicit Learning 2019
  • Reber, P.J. (2013). The neural basis of implicit learning and memory: A review of neuropsychological and neuroimaging research.  Neuropsychologia, 51, 2026-2042. Reber_ImplicitLearning_Neuropsychologia2013
  • Reber, P.J. (2009). Contributions of functional imaging to theories of category learning. In Neuroimaging of Human Memory (Eds. F. Roesler, C. Ranganath), Oxford University Press: Oxford. 5-ReberNeuroImgHumanMem2009
  • Reber, P.J. (2008). Cognitive neuroscience of declarative and non-declarative memory. In Parallels in Learning and Memory (Eds. M. Guadagnoli, M, S. de Belle, B. Etnyre, T. Polk, A. Benjamin). ReberHumLearn2008

Selected publications and reprints

  • Grandoit, E., Cohen, M. S., & Reber, P. J. (2024). Reward enhancement of item-location associative memory spreads to similar items within a category. Cognition and Emotion. https://doi.org/10.1080/02699931.2024.2352184
  • Han, Y.C., Schmidt, K.D., Grandoit, E., Shu, P., McRobert, C.P., Reber, P.J. (2022). Cognitive neuroscience of implicit learning: implications for complex learning and expertise. The cognitive unconscious: the first half-century. Reber, A.S. & Allen, R. (eds). Oxford: Oxford University Press.
  • Han, Y.C. & Reber, P.J. (2021). Implicit sequence learning using auditory cues leads to modality-specific representations. Psychonomic Bulletin & Review. Han & Reber 2021.pdf
  • Reber, P.J., Grandoit, E., Schmidt, K.D., Dixon, T.C., McRobert, C.P. (2021) Learning the Cognitive Skill of Topographic Map Reading Through Adaptive, High-Repetition Training. Lecture Notes in Computer Science, Springer, Vol 39.
  • Grandoit, E., Schmidt, K., Grabowecky, M, Reber, P.J. (2020). Cognitive Expertise through Repetition Enhanced Simulation (CERES): Training to Understand Topographic Maps. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2020.
  • Cohen, M.S., Cheng, L.Y., Paller, K.A., & Reber, P.J. (2019). Separate Memory-Enhancing Effects of Reward and Strategic Encoding. Journal of Cognitive Neuroscience, 31(11), 1658-1673. Cohen et al 2019 JOCN.pdf
  • Batterink, L.J., Paller, K.A., & Reber, P.J. (2019). Understanding the Neural Bases of Implicit and Statistical Learning. Topics in cognitive science. Batterink et al TICS 2019.pdf
  • Schmidt, K.D., Feinstein, B., Grabowecky, M & Reber, P.J. (2019). Cognitive Expertise through Repetition Enhanced Simulation (CERES): Topographic Map Reading. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2019.  Schmidt et al. IITSEC2019.pdf
  • Chon, D., Thompson, K.R., & Reber, P.J. (2018). Motivation to avoid loss improves implicit skill performance. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(2), 327. ChonThompsonReber_JEPLMC2018
  • Smith, M.K., Reuveni, B. Cohen, M.S., Grabowecky, M. & Reber, P.J. (2017).  Developing a naturalistic categorization task for testing intuitive decision making.  Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2017. 2017_17146
  • Bharani, K.L., Paller, K.A., Reber, P.J., Weintraub, S., Yanar, J., & Morrison, R.G. (2016). Compensatory processing during rule-based category learning in older adults. Aging, Neuropsychology, and Cognition, 23(3), 304-326.
  • Morrison, R.G., Reber, P.J., Bharani, K.L., & Paller, K.A. (2015). Dissociation of category-learning systems via brain potentials. Frontiers in Human Neuroscience, 9, 389. Morrison, R.G. (2015) Frontiers in Human Neuroscience
  • Batterink, L.J., Reber, P.J., Neville, H.J., Paller, K.A. (2015). Implicit and explicit contributions to statistical learning. Journal of Memory and Language, 83, 62-78. Batterink, Laura J. (2015) Journal of Memory and Language
  • Reber, P.J. (2015). Memory. In Toga, A., Mesulam M. & Fox, P. (Eds), Brain Mapping: An Encyclopedia Reference, pp. 625-630. New York: Elsevier.
  • Sanchez, D.J., Yarnik, E.N. & Reber, P.J. (2015). Quantifying transfer after perceptual-motor sequence learning: How inflexible is implicit learning? Psychological Research, 79, 327-343. Sanchez, D.J., Yarnik, E.N. & Reber, P.J. (2015) Psychological Research
  • Squire, P., Cohn, J., Nicholson, D., Nolan M., Reber, P.J., Oudiette, D, Niehaus, J., Geyer, A., & O’Neill, L. (2014). Towards enhancing intuitive decision making through implicit learning. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2014. 2014_14253
  • Thompson, K.R., Sanchez, D.J., Wesley, A.H., & Reber, P.J. (2014). Ego depletion impairs implicit learning. PLoS one, 9(10), e109370.
  • Bojinov, H., Sanchez, D.J., Reber, P.J., Boneh, D. & Lincoln, P. (2014). Neuroscience meets cryptography: Crypto primitives secure against rubber hose attacks. Communications of the ACM, 57(5), 110-118. Bojinov, H. (2015) Communications of the ACM
  • Batterink, L.J., Oudiette, D., Reber, P.J. & Paller, K.A. (2014). Sleep facilitates learning a new linguistic rule. Neuropsychologia, 65, 169-179. Batterink_Neuropsychologia2014
  • Gigler, K.L, Blomeke, K.M., Shatil, E., Weintraub, S. & Reber, P.J. (2013).  Preliminary evidence for functional improvement in older adults following online cognitive training. Gerontechnology. Gerontechnology, 12(1), 26-35. Gigler_Gerontechnology2013
  • Paller, K.A., Creery, J.D., Florczak, S.M., Weintraub, S., Mesulam, M.M., Reber, P.J., Kiragu, J., Rooks, J., Safron, A., Morhardt, D., O’Hara, M., Gigler, K.L., Molony, J.M., Maslar, M. (2014). Benefits of mindfulness training for patients with progressive cognitive decline and their caregivers. American Journal of Alzheimer’s Disease & Other Dementias, 30(3), 257-267. Paller_AJADD2014
  • Reber, P.J., Beeman, M. & Paller, K.A. (2013).  Human memory systems: A framework for understanding the neurocognitive foundations of intuition. In D.D. Schmorrow & C.M. Fidopiastis (Eds.), AC/HCII 2013, Lecture Notes in Artificial Intelligence, 8027, pp. 474-483.  Springer, Heidelberg.
    ReberBeemanPaller HCII2013
  • Reber, P.J. (2013). The neural basis of implicit learning and memory: A review of neuropsychological and neuroimaging research.  Neuropsychologia, 51, 2026-2042. Reber_ImplicitLearning_Neuropsychologia2013
  • Gobel, E., W., Blomeke, K., Zadikoff, C., Simuni, T., Weintraub, S., Reber, P.J. (2013).  Implicit perceptual-motor skill learning in Mild Cognitive Impairment and Parkinson’s disease.  Neuropsychology, 27, 314-321. Gobel_Neuropsychology2013
  • Sanchez, D.J. & Reber, P.J. (2013).  Explicit pre-training instruction does not improve implicit perceptual-motor sequence learning.  Cognition, 126, 341-351. SanchezReberCognition2013
  • Bojinov, H., Sanchez, D.J., Boneh, D., Reber, P.J., Lincoln, P. (2012). Neuroscience meets cryptography: Designing crypto primitives secure against rubber hose attacks. Usenix Annual Technical Conference, Boston, MA. usenixsec2012-rubberhose
  • Westerberg, C., Mayes, A., Florczak, S.M., Chen, Y., Creery, J., Parrish, T., Weintraub, S., Mesulam, M., Reber, P.J. & Paller, K. A. (2013). Distinct medial temporal contributions to different forms of recognition in amnestic mild cognitive impairment and Alzheimer’s disease. Neuropsychologia, 51(12), 2450-2461. Westerberg_Neuropsychologia2013
  • Antony, J.W., Gobel, E.W., O’Hare, J.K., Reber, P.J. & Paller, K.A. (2012). Cued memory reactivation during sleep influences skill learning.Nature Neuroscience, 15, 1114-1116. nn.3152
  • Nomura, E.M. & Reber, P.J. (2012). Combining computational modeling and neuroimaging to examine multiple category learning systems in the brain.  Brain Sciences. NomuraReberBrainSci2012
  • Sanchez, D.J. & Reber, P.J. (2012). Operating characteristics of the implicit learning system supporting serial interception sequence learning.  Journal of Experimental Psychology: Human Perception and Performance, 38, 439-452. Sanchez&Reber2012
  • Westerberg, C.E., Voss, J.L., Reber, P.J. & Paller, K.A. (2012).  Medial temporal contributions to successful face-name learning.  Human Brain Mapping, 33, 1717-1726. WesterbergVossReberPaller2012
  • Gobel, E.W., Parrish, T.B. & Reber, P.J. (2011).  Neural correlates of skill acquisition: Decreased cortical activity during a serial interception sequence learning task. Neuroimage. GobelParrishReber2011
  • Gobel, E.W., Sanchez, D.J. & Reber, P.J. (2011). Integration of temporal and ordinal information during serial interception sequence learning. Journal of Experimental Psychology: Learning, Memory & Cognition. GobelSanchezReber JEP2011
  • Reber, P.J., Sanchez, D.J. &amp Gobel, E.W. (2011). Models of sequential processing. In H. Sayam (Ed), Proceedings of the Eighth International Conference on Complex Systems (ICCS 2011). Reber_ModelsofSL
  • Westerberg C.E., Miller B.B., Reber, P.J., Parrish T.B., Cohen, N.J. & Paller K.A. (2011). Neural correlates of contextual cueing are modulated by explicit learning. Neuropsychologia, 49, 3439-3447. Westerberg_Neuropsychologia2011
  • Sanchez, D.J., Gobel, E.W. & Reber, P.J. (2010). Performing the unexplainable: Implicit task performance reveals individually reliable sequence learning without explicit knowledge.  Psychonomic Bulletin & Review, 17, 790-76. SanchezGobelReber PBR2010
  • Morrison, R.G., Reber, P.J., & Paller, K.A. (2009). Dissociation of category-learning mechanisms via brain potentials. Proceedings of the 31st Annual Meeting of the Cognitive Science Society.
  • Reber, P.J. (2009). Contributions of functional imaging to theories of category learning. In Neuroimaging of Human Memory (Eds. F. Roesler, C. Ranganath), Oxford University Press: Oxford. 5-ReberNeuroImgHumanMem2009
  • Reber, P.J. (2008). Cognitive neuroscience of declarative and non-declarative memory. In Parallels in Learning and Memory (Eds. M. Guadagnoli, M, S. de Belle, B. Etnyre, T. Polk, A. Benjamin). ReberHumLearn2008
  • Nomura, E.M & Reber, P.J. (2008).  A review of medial temporal lobe and caudate contributions to visual category learning.  Neuroscience and Biobehavioral Reviews, 32, 279-291. NomuraReber_NBR2008
  • Nomura E.M., Maddox W.T., Filoteo J.V., Ing A.D., Gitelman D.R., Parrish T.B., Mesulam M-M., Reber P.J. (2007). Neural correlates of rule-based and information-integration visual category learning.Cereb Cortex. 17(1), 37-43. Nomura_CC2007
  • Nomura, E.M., Maddox, W.T., Reber, P.J. (2007).  Mathematical models of visual category learning enhance fMRI data analysis.  Proceedings of the 29th Annual Meeting of the Cognitive Science Society. Nomura_CogSciSoc2007a
  • Safron, A., Barch, B., Bailey, J.M., Gitelman, D.R., Parrish, T.B., Reber, P.J. (2007). Neural correlates of sexual arousal in heterosexual and homosexual men. Behavioral Neuroscience, 121, 237-248. Safron_BN2007
  • Reber, P.J., Gitelman, D.R., Parrish, T.B., & Mesulam, M-M. (2005). Priming and the acquisition of visual expertise: Changes in neural activity beyond the second presentation. Cerebral Cortex, 15, 787 – 795. Reber_CC2005
  • Reber, P.J, Gitelman, D.R., Parrish, T.B. & Mesulam, M-M. (2003). Dissociating explicit and implicit category knowledge with fMRI.Journal of Cognitive Neuroscience, 15, 574-685. Reber et al JOCN2003
  • Reber, P.J., Martinez, L.A. & Weintraub, S. (2003).  Artificial grammar learning in Alzheimer’s disease.  Cognitive, Affective and Behavioral Neuroscience, 3, 145-153. ReberMartinezWeintraub_CABN2003
  • Paller, K.A., Ranganath, C., Gonsalves, B., LaBar, K.S., Parrish, T.B., Gitelman, D.R., Mesulam, M-M. & Reber, P.J. (2003). Neural correlates of person recognition. Learning&Memory, 10, 253-260. Paller_LM03
  • Skosnik, P. D., Gitelman, D.R., Parrish, T.B., Mesulam, M-M. & Reber, P.J. (2002). Neural correlates of artificial grammar learning.  NeuroImage, 17, 1306-1314. Skosnik NI2002
  • Reber, P.J., Siwiec, R.M, Gitelman, D.R., Parrish, T.B., Mesulam, M-M. & Paller, K.A. (2002). Neural correlates of successful encoding identified using fMRI.  Journal of Neuroscience, 22 9541-9548. Reber-Siwiec JNeurosci2002
  • Reber, Buxton & Wong (2002). Comparing the brain areas supporting nondeclarative categorization and recognition memory. Cognitive Brain Research, 14, 245-257. Reber CBR2002
  • Reber, P.J. (2002).  Attempting to model dissociations of memory: Comment on Kinder & Shanks (2001). Trends in Cognitive Sciences, 6, 192-194. Reber comment on Kinder+Shanks2001
  • Reber, Buxton & Wong (2002). Encoding activity in the medial temporal lobe examined with anatomically constrained fMRI Analysis.Hippocampus, 12, 363-376.  Reber Buxton + Wong Hipp2002
  • Reber, P.J. & Squire, L.R. (1999).  Intact learning of artificial grammars and intact category learning by patients with Parkinson’s disease.  Behavioral Neuroscience, 113, 235-242.Reber&Squire_BehavNeurosci1999
  • Reber, P.J., Stark, C. E. L. & Squire, L.R. (1998).  Cortical areas supporting category learning identified using functional magnetic resonance imaging.Proceedings of the National Academy of Sciences, USA, 95, 747-750. Reber Stark & Squire 1998b
  • Reber, P.J., Stark, C. E. L. & Squire, L.R. (1998).  Contrasting cortical activity associated with declarative and nondeclarative memory. Learning & Memory, 5, 420-428. Reber Stark&Squire 1998a
  • Reber, P.J. & Squire, L.R. (1998).  Encapsulation of implicit and explicit memory in sequence learning. Journal of Cognitive Neuroscience, 10, 248-263. Reber_JCN98
  • Reber, P.J. & Kotovsky K. (1997).  Implicit learning in problem solving: the role of working memory capacity.Journal of Experimental Psychology: General, 126, 178‑203. ReberKotovsky1997