Artificial neural networks whispering to the brain: nonlinear system attractors induce familiarity with never seen items

References

• Ans , B. 2004 . ‘Sequential Learning in Distributed Neural Networks Without Catastrophic Forgetting: A Single and Realistic Self-Refreshing Memory can do it’ . Neural Information Processing-Letters and Reviews , 4 : 27 – 32 .
   Google Scholar
• Ans , B. and Rousset , S. 1997 . ‘Avoiding Catastrophic Forgetting by Coupling Two Reverberating Neural Networks’ . Comptes Rendus de l'Académie des Sciences Paris, Life Sciences , 320 : 989 – 997 .
   Web of Science ®Google Scholar
• Ans , B. and Rousset , S. 2000 . ‘Neural Networks with a Self-Refreshing Memory: Knowledge Transfer in Sequential Learning Tasks Without Catastrophic Forgetting’ . Connection Science , 12 : 1 – 19 .
   Web of Science ®Google Scholar
• Ans , B. , Rousset , S. , French , R. M. and Musca , S. C. ‘Preventing Catastrophic Interference in Multiple-Sequence Learning Using Coupled Reverberating Elman Networks’ . Proceedings of the 24th Annual Meeting of the Cognitive Science Society . Mahwah , NJ . Edited by: Gray , W. D. and Schunn , C. D. pp. 71 – 76 . Lawrence Erlbaum Associates .
   Google Scholar
• Ans , B. , Rousset , S. , French , R. M. and Musca , S. C. 2004 . ‘Self-Refreshing Memory in Artificial Neural Networks: Learning Temporal Sequences Without Catastrophic Forgetting’ . Connection Science , 16 : 71 – 99 .
   Web of Science ®Google Scholar
• Behrmann , M. , Geng , J. and Baker , C. 2005 . “ ‘Acquisition of Long-Term Visual Representations: Psychological and Neural Mechanisms’ ” . In Dynamic Cognitive Processes , Edited by: Ohta , N. , MacLeod , C. M. and Uttl , B. 11 – 35 . Tokyo : Springer-Verlag .
   Google Scholar
• Blackmon , J. , Byrd , D. , Cummins , R. , Poirier , P. and Roth , M. 2005 . ‘Atomistic Learning in Non-Modular Systems’ . Philosophical Psychology , 18 : 313 – 325 .
   Web of Science ®Google Scholar
• Carpenter , G. A. and Grossberg , S. 1988 . ‘The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network’ . Computer , 21 : 77 – 88 .
   Web of Science ®Google Scholar
• French , R. M. 1992 . ‘Semi-Distributed Representations and Catastrophic Forgetting in Connectionist Networks’ . Connection Science , 4 : 365 – 377 .
   Google Scholar
• French , R. M. ‘Dynamically Constraining Connectionist Networks to Produce Distributed, Orthogonal Representations to Reduce Catastrophic Interference’ . Proceedings of the 16th Annual Conference of the Cognitive Science Society . Hillsdale , NJ . pp. 335 – 340 . Lawrence Erlbaum .
   Google Scholar
• French , R. M. 1997 . ‘Pseudo-Recurrent Connectionist Networks: An Approach to the “Sensitivity-Stability” Dilemma’ . Connection Science , 9 : 353 – 379 .
   Google Scholar
• French , R. M. 1999 . ‘Catastrophic Forgetting in Connectionist Networks’ . Trends in Cognitive Sciences , 3 : 128 – 135 .
   PubMed Web of Science ®Google Scholar
• French , R. M. , Ans , B. and Rousset , S. 2001 . “ ‘Pseudopatterns and Dual-Network Memory Models: Advantages and Shortcomings’ ” . In Connectionist Models of Learning, Development and Evolution , Edited by: French , R. M. and Sougné , J. 1 – 10 . London : Springer .
   Google Scholar
• Grossberg , S. 1987 . ‘Competitive Learning: From Interactive Activation to Adaptive Resonance’ . Cognitive Science , 11 : 23 – 63 .
   Web of Science ®Google Scholar
• Hebb , D. O. 1949 . The Organization of Behavior , New York : Wiley .
   Google Scholar
• Hetherington , P. and Seidenberg , M. ‘Is There “Catastrophic Interference” in Connectionist Networks?’ . Proceedings of the 11th Annual Conference of the Cognitive Science Society . Hillsdale , NJ: . pp. 26 – 33 . Lawrence Erlbaum .
   Google Scholar
• Hinton , G. E. 1989 . ‘Connectionist Learning Procedures’ . Artificial Intelligence , 40 : 185 – 234 .
   Web of Science ®Google Scholar
• Jacoby , L. L. 1983 . ‘Perceptual Enhancement: Persistent Effects of an Experience’ . Journal of Experimental Psychology: Learning, Memory, and Cognition , 9 : 21 – 38 .
   PubMed Web of Science ®Google Scholar
• Jacoby , L. L. 1991 . ‘A Process Dissociation Framework: Separating Automatic from Intentional Uses of Memory’ . Journal of Memory and Language , 30 : 513 – 541 .
   Web of Science ®Google Scholar
• Kortge , C. A. ‘Episodic Memory in Connectionist Networks’ . Proceedings of the 12th Annual Conference of the Cognitive Science Society . Hillsdale , NJ: . pp. 764 – 771 . Lawrence Erlbaum .
   Google Scholar
• Lewandowsky , S. 1991 . “ ‘Gradual Unlearning and Catastrophic Interference: A Comparison of Distributed Architectures’ ” . In Relating Theory and Data: Essays on Human Memory in Honor of Bennet B. Murdock , Edited by: Hockley , W. E. and Lewandowsky , S. 445 – 476 . Hillsdale , NJ : Lawrence Erlbaum .
   Google Scholar
• Lewandowsky , S. 1994 . ‘On the Relation Between Catastrophic Interference and Generalization in Connectionist Networks’ . Journal of Biological Systems , 2 : 307 – 333 .
   Google Scholar
• Lewandowsky , S. and Li , S. C. 1995 . “ ‘Catastrophic Interference in Neural Networks: Causes, Solutions, and Data’ ” . In New Perspectives on Interference and Inhibition in Cognition , Edited by: Dempster , F. N. and Brainerd , C. 329 – 361 . New York : Academic Press .
   Google Scholar
• Mandler , G. 1980 . ‘Recognizing: The Judgment of Previous Occurrence’ . Psychological Review , 87 : 252 – 271 .
   Web of Science ®Google Scholar
• McClelland , J. L. , McNaughton , B. L. and O'Reilly , R. C. 1995 . ‘Why There are Complementary Learning Systems in the Hippocampus and Neocortex: Insights From the Successes and Failures of Connectionist Models of Learning and Memory’ . Psychological Review , 102 : 419 – 457 .
   PubMed Web of Science ®Google Scholar
• McClelland , J. L. and Rumelhart , D. E. 1985 . ‘Distributed Memory and the Representation of General and Specific Information’ . Journal of Experimental Psychology: General , 114 : 159 – 197 .
   PubMed Web of Science ®Google Scholar
• McCloskey , M. and Cohen , N. J. 1989 . “ ‘Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem’ ” . In The Psychology of Learning and Motivation , Edited by: Bower , H. G. Vol. 24 , 109 – 165 . New York : Academic Press .
   Google Scholar
• McRae , K. and Hetherington , P. A. ‘Catastrophic Interference is Eliminated in Pre-trained Networks’ . Proceedings of the 15th Annual Conference of the Cognitive Science Society . Hillsdale , NJ: . pp. 723 – 728 . Lawrence Erlbaum .
   Google Scholar
• Murre , J. M.J. ‘The Effects of Pattern Presentation on Interference in Back-propagation Networks’ . Proceedings of the 14th Annual Conference of the Cognitive Science Society . Hillsdale , NJ . pp. 54 – 59 . Lawrence Erlbaum .
   Google Scholar
• Nosofsky , R. M. 1992 . ‘Similarity Scaling and Cognitive Process Models’ . Annual Review of Psychology , 43 : 25 – 53 .
   Web of Science ®Google Scholar
• Ratcliff , R. 1990 . ‘Connectionist Models of Recognition and Memory: Constraints Imposed by Learning and Forgetting Functions’ . Psychological Review , 97 : 285 – 308 .
   PubMed Web of Science ®Google Scholar
• Ratcliff , R. and McKoon , G. 1995 . ‘Bias in the Priming of Object Decisions’ . Journal of Experimental Psychology: Learning, Memory and Cognition , 21 : 754 – 767 .
   PubMed Web of Science ®Google Scholar
• Robins , A. V. 1995 . ‘Catastrophic Forgetting, Rehearsal and Pseudorehearsal’ . Connection Science , 7 : 123 – 146 .
   Google Scholar
• Robins , A. V. 1996 . ‘Consolidation in Neural Networks and in the Sleeping Brain’ . Connection Science , 8 : 259 – 275 .
   Google Scholar
• Robins , A. V. and McCallum , S. 1998 . ‘Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-Type Networks’ . Connection Science , 10 : 121 – 135 .
   Web of Science ®Google Scholar
• Robins , A. V. and McCallum , S. 1999 . ‘The Consolidation of Learning During Sleep: Comparing the Pseudorehearsal and Unlearning Accounts’ . Neural Networks , 12 : 1191 – 1206 .
   PubMed Web of Science ®Google Scholar
• Schachter , D. L. 1990 . “ ‘Perceptual Representation Systems and Implicit Memory: Toward a Resolution of the Multiple Memory Systems Debate’ ” . In Development and Neural Basis of Higher Cognitive Functions , Edited by: Diamond , A. 543 – 571 . New York : New York Academy of Sciences .
   Google Scholar
• Sharkey , N. E. and Sharkey , A. J.C. 1995 . ‘An Analysis of Catastrophic Interference’ . Connection Science , 7 : 301 – 329 .
   Google Scholar
• Tulving , E. and Schachter , D. L. 1990 . ‘Priming and Human Memory Systems’ . Science , 247 : 301 – 306 .
   PubMed Web of Science ®Google Scholar
• Whittlesea , B. W. , Jacoby , L. L. and Girard , K. 1990 . ‘Illusions of Immediate Memory: Evidence of an Attributional Basis for Feelings of Familiarity and Perceptual Quality’ . Journal of Memory and Language , 29 : 716 – 732 .
   Web of Science ®Google Scholar
• Witherspoon , D. and Allan , L. G. 1985 . ‘The Effect of a Prior Presentation on Temporal Judgments in a Perceptual Identification Task’ . Memory and Cognition , 13 : 101 – 111 .
   PubMed Web of Science ®Google Scholar
• Yonelinas , A. P. 2002 . ‘The Nature of Recollection and Familiarity: A Review of 30 Years of Research’ . Journal of Memory and Language , 46 : 441 – 517 .
   Web of Science ®Google Scholar