• Gluck, M., Mercado, E. M., III, & Myers, C. (2007/to appear). Learning and Memory: From Brain to Behavior. New York: Worth.
  
  
• Gluck, M. & Myers, C. (2001). Gateway to Memory: An Introduction to Neural Network Models of the Hippocampus in Learning. Cambridge, MA: MIT Press.
  
  
• Myers, C. (1992). Delay Learning in Artificial Neural Networks. New York: Chapman & Hall.

1. Myers, C. E., Kluger, A., Golomb, J., Gluck, M. & Ferris, S. (2008). Learning and generalization tasks predict short-term outcome in non-demented elderly. Journal of Geriatric Psychiatry and Neurology, 21, 93-103.
   
   
2. Chase, H., Clark, L., Myers, C. E., Gluck, M., Sahakian, B., Bullmore, E. & Robbins, T. (2008). The role of the orbitofrontal cortex in human discrimination learning. Neuropsychologia, 46(5), 1326-1337.
   
   
3. Johnson, S., Schmitz, T., Asthana, S., Gluck, M., & Myers, C. (2008). Associative learning over trials activates the right hippocampus in healthy elderly but not mild cognitive impairment. Aging, Neuropsychology and Cognition, 15, 129-145.
   
   
4. Kéri, S., Nagy, H., Myers, C. E., Benedek, G., Shohamy, D. & Gluck, M. (2008). Risk and protective haplotypes of the alpha-synuclein gene associated with Parkinson’s disease differentially affect cognitive sequence learning. Genes, Brain and Behavior, 7:31-36.
   
   
5. Vadhan, N., Myers, C. E., Rubin, E., Shohamy, D., Foltin, R., & Gluck, M. (2008). Stimulus-response learning in long-term cocaine users: Acquired equivalence and probabilistic category learning. Drug and Alcohol Dependence, 93(1-2):155-162.
   
   
6. Meeter, M., Radics, G., Myers, C. E., Gluck, M. & Hopkins, R. (2008). Probabilistic categorization: How do normal participants and amnesic patients do it? Neuroscience and Biobehavioral Reviews, 32(2):327-348.
   
   
7. Shohamy, D., Myers, C. E., Kalanithi, J. & Gluck, M. (2008). Basal ganglia and dopamine contributions to probabilistic category learning. Neuroscience and Biobehavioral Reviews, 32(2):219-236.
   
   
8. Farkas, M., Polgár, P., Kelemen, O., Réthelyi, J., Bitter, I., Myers, C. E., Gluck, M. A., Kéri, S. (2008). Associative learning in deficit and non-deficit schizophrenia. Neuroreport, 19(1), 55-58.
   
   
9. Polgár, P., Farkas, M., Nagy, O., Kelemen, O., Réthelyi, J., Bitter, I., Myers, C. E., Gluck, M. A. & Kéri, S. (2008). How to find the way out from four rooms? The learning of “chaining” associations may shed light on the neuropsychology of the deficit syndrome of schizophrenia. Schizophrenia Research, 99(1-3), 200-207.
   
   
10. Nagy, O., Kelemen, O., Benedek, G., Myers, C., Shohamy, D., Gluck, M. & Kéri, S. (2007). Dopaminergic contribution to cognitive sequence learning. Journal of Neural Transmission, 114(5):607-612.
    
    
11. Polgár, P., Farkas, M., Nagy, O., Kelemen, O., Réthelyi, J., Myers, C. E., Gluck, M. A. & Kéri, S. (2007). Cognitive skill learning in depression: The effect of context-change [Hungarian]. Psychiatria Hungarica, 22(4):271-275.
    
    

12. Nagy, H., Kéri, S., Myers, C., Benedek, G., Shohamy, D. & Gluck, M. (2007). Cognitive sequence learning in Parkinson’s disease and amnestic mild cognitive impairment: Dissociation between sequential and non-sequential learning of associations. Neuropsychologia, 45, 1386-1392.

13. Gluck, M., Myers, C., Nicolle, M. & Johnson, S. (2006). Computational models of the hippocampal region: Implications for the prediction of risk for Alzheimer’s disease in non-demented elderly. Current Alzheimer’s Research, 3(3), 247-257.

14. Shohamy, D., Myers, C., Geghman, K., Sage, J. & Gluck, M. (2006). L-dopa impairs learning, but spares generalization, in Parkinson’s Disease. Neuropsychologia, 44(5), 774-784.

15. Meeter, M., Myers, C., Shohamy, D., Hopkins, R., & Gluck, M. (2006). Strategies in probabilistic categorization: Results from a new way of analyzing performance. Learning and Memory, 13, 230-239.

16. Myers, C., DeLuca, J., Hopkins, R., & Gluck, M. (2006).  Conditional discrimination and reversal in amnesia subsequent to hypoxic brain injury or anterior communicating artery aneurysm rupture. Neuropsychologia, 44(1):130-139.

17. Gluck, M., Myers, C.,, & Meeter, M. (2005). Cortico-hippocampal interaction and adaptive stimulus representation: A neurocomputational theory of associative learning and memory. Neural Networks, 18, 1265-1279.

18. Nagy, O., Kelemen, O., Erdelyi, R., Pataki, M., Janka, Z., Myers, C., Gluck, M., & Kéri, S. (2005). Learned equivalence in schizophrenia: Novel method for the measurement of memory functions of the hippocampus and basal ganglia [Hungarian]. Psychiatria Hungarica, 20(5):363-369.

19. Fera, F., Weickert, T., Goldberg, T., Tessitore, A., Hariri, A., Das, Saumitra, Sam, L., Zoltick, B., Meeter, M., Myers, C., Gluck, M., Weinberger, D. & Mattay, V. (2005). Neural mechanisms underlying probabilistic category learning in normal aging. Journal of Neuroscience, 25(49), 11340-11348.

20. Shohamy, D., Myers, C., Grossman, S., Sage, J., & Gluck, M. (2005). The role of dopamine in cognitive sequence learning: Evidence from Parkinson's disease. Behavioural Brain Research, 156(2):191-199.

21. Kéri, S., Nagy, O., Kelemen, O., Myers, C. E, & Gluck, M. A. (2005). Dissociation between medial temporal lobe and basal ganglia systems in schizophrenia. Schizophrenia Research, 77(2-3):321-328.

22. Meeter, M., Myers, C., & Gluck, M. (2005). Integrating incremental learning and episodic memory models of the hippocampal region. Psychological Review, 112(3): 560-585.

23. Aron, A., Shohamy, D., Clark, J., Myers, C., Gluck, M. & Poldrack, R. (2004). Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning. Journal of Neurophysiology, 92: 1144-1152.

24. Shohamy, D., Myers, C., Onlaor, S. & Gluck, M. (2004). The role of the basal ganglia in category learning: How do patients with Parkinson's disease learn?  Behavioral Neuroscience, 118: 676-686.

25. Shohamy, D., Myers, C., Grossman, S., Sage, J., Gluck, M. & Poldrack, R. (2004). Cortico-striatal contributions to feedback-based learning: Converging data from neuroimaging and neuropsychology. Brain, 127(4), 851-859.

26. Hopkins, R., Myers, C., Shohamy, D., Grossman, S., & Gluck, M. (2004). Impaired probabilistic category learning in hypoxic subjects with hippocampal damage. Neuropsychologia, 42(4):524-535.

27. Myers, C., Shohamy, D., Gluck, M., Grossman, S., Onlaor, S., & Kapur, N. (2003).  Dissociating medial temporal and basal ganglia memory systems with a latent learning task. Neuropsychologia, 41:1919-1928.

28. Gluck, M., Meeter, M., & Myers, C. (2003). Computational models of the hippocampal region: linking incremental learning and episodic memory. Trends in Cognitive Sciences, 7(6), 269-276.

29. Myers, C., Shohamy, D., Gluck, M., Grossman, S., Kluger, A., Ferris, S., Golomb, J., Schnirman, G., & Schwartz, R. (2003). Dissociating hippocampal vs. basal ganglia contributions to learning and transfer. Journal of Cognitive Neuroscience, 15(2), 185-193.

30. Allen, M., Padilla, Y., Myers, C., & Gluck, M. (2002).  Selective hippocampal lesions disrupt a novel cue effect but fail to eliminate blocking in rabbit eyeblink conditioning. Cognitive, Affective, and Behavioral Neuroscience, 2(4), 318-328.

31. Gluck, M., Shohamy, D., & Myers, C. (2002). How do people solve the "weather prediction" task? Individual variability in strategies for probabilistic category learning. Learning and Memory, 9(6), 408-418.

32. Allen, M., Myers, C., Schnirman, G., Chelius, L., Masand, V., & Gluck, M. (2002). A comparison of latent inhibition and learned irrelevance pre-exposure effects in rabbit and human eyeblink conditioning. Integrative Physiological and Behavioral Science, 37(3), 188-214.

33. Myers, C., Bryant, D., DeLuca, J., & Gluck, M. (2002). Dissociating basal forebrain and medial temporal amnesic syndromes: Insights from classical conditioning. Integrative Physiological and Behavioral Science, 37(2), 85-102.

34. Myers, C., Kluger, A., Golomb, J., Ferris, S., de Leon, M., Schirman, G. & Gluck, M. (2002).  Hippocampal atrophy disrupts transfer generalization in non-demented elderly.  Journal of Geriatric Psychiatry and Neurology, 15(2), 82-90.

35. Collie, A., Maruff, P., Myers, C., Schnirman, G., Wood, S. & Currie, J.  (2002). Selectively impaired associative learning in older people with cognitive decline.  Journal of Cognitive Neuroscience, 14(3), 484-492.

36. Rokers, B., Mercado, E., Myers, C. & Gluck, M.  (2002). A connectionist model of septohippocampal dynamics during conditioning:  Closing the loop. Behavioral Neuroscience, 116(1), 48-62.

37. Poldrack, R., Clark, J., Pare-Blagoev, J., Shohamy, D., Creso Moyano, J., Myers, C. & Gluck, M. (2001). Interactive memory systems in the human brain. Nature, 414, 546-550.

38. Gluck, M., Allen, M., Myers, C. & Thompson, R. (2001).  Cerebellar substrates for error-correction in motor conditioning.  Neurobiology of Learning and Memory, 76, 314-341.

39. Allen, M., Myers, C., & Gluck, M. (2001).  Parallel neural systems for classical conditioning:  Support from computational modeling.  Integrative Physiological and Behavioral Science, 36(1), 36-61.

40. Myers, C., DeLuca, J., Schultheis, M., Schnirman, G., Ermita, B., Diamond, B., Warren, S., & Gluck, M. (2001).  Impaired delay eyeblink classical conditioning in individuals with anterograde amnesia resulting from anterior communicating artery aneurysm rupture. Behavioral Neuroscience, 115(3), 560-570.

41. Mercado, E., III, Myers, C., Gluck, M. (2001).  A computational model of mechanisms controlling experience-dependent reorganization of representational maps in auditory cortex.  Cognitive, Affective and Behavioral Neuroscience, 1(1), 37-55.

42. Myers, C., Hopkins, M., Kesner, R., Monti, L. & Gluck, M.  (2000).  Conditional spatial discrimination in humans with hypoxic brain injury.   Psychobiology, 28(3), 275-282.

43. Myers, C., Oliver, L., Ermita, B., Warren, S., & Gluck, M. (2000). Stimulus exposure effects in human associative learning. Quarterly Journal of Experimental Psychology B:  Comparative and Physiological Psychology, 53B, 173-187.

44. Myers, C., McGlinchey-Berroth, R., Warren, S., Monti, L., & Gluck, M. (2000).  Latent learning in medial temporal amnesia:  Evidence for preserved attention but disrupted representational processes.  Neuropsychology, 14, 1-13.

45. Rokers, B., Myers, C., & Gluck, M.A. (2000). A dynamic model of learning in the septo-hippocampal system.  Neurocomputing, 32-33, 501-507.

46. Myers, C., Ermita, B., Hasselmo, M. & Gluck, M. (1998).  Further implications of a computational model of septohippocampal cholinergic modulation in eyeblink conditioning.  Psychobiology, 26(1), 1-20.

47. Gluck, M. & Myers, C. (1997). Psychobiological models of hippocampal function in learning and memory.  Annual Review of Psychology. 48. 481-514.

48. Gluck, M., Ermita, B., Oliver, L. & Myers, C. (1997).  Extending models of hippocampal function in animal conditioning to hippocampal amnesia.  Memory, 5, 179-212.

49. Myers, C., & Gluck, M. (1996). Cortico-hippocampal representations in simultaneous odor discrimination learning:  A computational interpretation of Eichenbaum, Mathews & Cohen (1989).  Behavioral Neuroscience, 110, 685-706.

50. Myers, C., Ermita, B., Harris, K., Hasselmo, M., Solomon, P. &  Gluck, M. (1996). A computational model of the effects of septohippocampal disruption on classical eyeblink conditioning. Neurobiology of Learning and Memory, 66, 51-66.

51. Gluck, M. & Myers, C. (1996).  Integrating behavioral and physiological models of hippocampal function.  Hippocampus. 6, 643-653.

52. Gluck, M., Oliver, L. & Myers, C. (1996).  Late-training deficits in probabilistic category learning:  A neurocomputational analysis.  Learning and Memory, 3, 326-340.

53. Myers, C., Gluck, M., & Granger, R. (1995). Dissociation of hippocampal and entorhinal function in associative learning:  A computational approach. Psychobiology, 23(2), 116-138.

54. Gluck, M., & Myers, C. (1995). Representation and association in memory:  A neurocomputational view of hippocampal function. Current Directions in Psychological Science, 4(1), 23-29.

55. Myers, C., & Gluck, M. (1994). Context, conditioning and hippocampal re-representation. Behavioral Neuroscience, 108(5), 835-847.

56. Gluck, M., Myers, C., & Goebel, J. (1994). A computational perspective on dissociating hippocampal and entorhinal function (Response to Eichenbaum, et al.). Behavioral and Brain Sciences, 17, 478-479.

57. Gluck, M., & Myers, C. (1993). Hippocampal mediation of stimulus representation:  A computational theory. Hippocampus, 3, 491-516.

58. Myers, C. (1992). A model of the visual attack learning system in Octopus vulgaris. Journal of Intelligent Systems, 2, 225-260.

59. Myers, C. (1991). Learning with delayed reinforcement through attention-driven buffering. International Journal of Neural Systems, 1(4), 337-346.

• DeLuca, J., Bryant, D., & Myers, C. (2003).  "Memory impairment following anterior communicating artery aneurysm." In (Feinberg, T. & Farah, M., eds.)  Behavioral Neurology and Cognitive Neuropsychology, McGraw-Hill,New York, pp. 477-485.

• Gluck, M., Allen, M., & Myers, C. (2001).  "Medial septal modulation of conditioning:  From two-stage theories to connectionist models."  In (J. Steinmetz, M. Gluck, P. Solomon, eds.) Model Systems and the Neurobiology of Associative Learning, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 295-316.

• Allen, M., Myers, C., & Gluck, M. (2000).  Neural network approaches to eyeblink classical conditioning.  In D. Woodruff-Pak & J. Steinmetz (Eds.), Eyeblink Classical Conditioning:  Volume II Animal Models, Boston: Kluwer Academic Publishers, p. 229-255.

• Eichenbaum, H., Cahill, L., Gluck, M., Hasselmo, M., Keil, F., Martin, A., McGaugh, J., Murre, J., Myers, C., Petrides, M., Roozendaal, B., Schacter, D., Simons, D., Smith, W. & Williams, C. (1999)  Learning and memory:  Systems analysis.  In (M. Zigmond, F. Bloom, S. Landis, J. Roberts, L. Squire, eds.), Fundamental Neuroscience, New York: Academic Press, p. 1455-1486.

• Gluck, M., & Myers, C. (1998). Psychobiological models of hippocampal function in learning and memory. In J. Martinez & R. Kesner (Eds.), Neurobiology of Learning and Memory (pp. 417-448). San Diego,CA: Academic Press.

• Zackheim, J., Myers, C., & Gluck, M. (1998). A temporally sensitive recurrent network model of occasion setting. In N. Schmajuk & P. Holland (Eds.), Occasion Setting:  Associative Learning and Cognition in Animals (pp. 319-342). Washington, DC: American Psychological Association.

• Ermita, B. R., Myers, C., Hasselmo, M., & Gluck, M. A. (1997). Septohippocampal cholinergic modulation in classical conditioning. In J. M. Bower (Ed.), Computational Neuroscience (pp. 631-639).New York: Plenum Press.

• Gluck, M. & Myers, C. (1997).  A neural-network approach to adaptive similarity and stimulus representations in cortico-hippocampal function.  In (J. Donahoe &  V. Dorsel, eds.) Neural-network  models of cognition:  Biobehavioral Foundations.  Amsterdam, Netherlands:  Elsevier Science Press, 220-241.

• Gluck, M. & Myers, C. (1997).  Adaptive stimulus representations in a computational model of cortico-hippocampal function.  In (M. Baudry & J. Davis, eds.), Long-Term Potentiation, Vol. 3, Cambridge, MA: MIT Press, pp. 325-350.

• Gluck, M. & Myers, C. (1994).  A neurocomputational  theory of hippocampal function in stimulus representation and learning.   In  (S.  Zournetzer, J. Davis, T. McKenna & C. Lau, eds.) An Introduction to Neural and Electronic Networks, Second Edition. pp. 77-90.

  Gluck, M., Myers, C., Thompson, R. (1994).  A computational model of the cerebellum and motor-reflex  conditioning.  In (S. Zournetzer, J. Davis, T.  McKenna & C. Lau, eds.) An Introduction to Neural and Electronic Networks, Second  Edition. pp. 91-98.

• Gluck, M., & Myers, C. (1993). Adaptive stimulus representations:  A computational theory of hippocampal-region function. In (S. Hanson, J. Cowan, & C. Giles, eds.), Advances in Neural Information Processing Systems 5 , San Mateo, CA: Morgan Kaufmann, pp. 937-944.

• Goldstone, J. & Myers, C. (1991).  Traffic monitoring with  WISARD and probabilistic logic nodes.  In (T. Kohonen, K. Makisara, O. Simula, J. Kangas, eds.) Artificial Neural Networks, North Holland, Elsevier Science, pp. 1669-1672.

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