Artificial neural networks whispering to the brain: nonlinear system attractors induce familiarity with never seen items
暂无分享,去创建一个
[1] Chris I. Baker,et al. Acquisition of Long-Term Visual Representations: Psychological and Neural Mechanisms , 2005 .
[2] Serban C. Musca,et al. Preventing Catastrophic Interference in Multiple-Sequence Learning Using Coupled Reverberating Elman Networks , 2019, Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.
[3] Stephan Lewandowsky. ON THE RELATION BETWEEN CATASTROPHIC INTERFERENCE AND GENERALIZATION IN CONNECTIONIST NETWORKS , 1994 .
[4] D. Witherspoon,et al. The effect of a prior presentation on temporal judgments in a perceptual identification task , 1985, Memory & cognition.
[5] Anthony V. Robins,et al. Catastrophic Forgetting, Rehearsal and Pseudorehearsal , 1995, Connect. Sci..
[6] Bernard Ans. Sequential Learning in Distributed Neural Networks without Catastrophic Forgetting: A Single and Realistic Self-Refreshing Memory Can Do It , 2004 .
[7] K. McRae,et al. Catastrophic Interference is Eliminated in Pretrained Networks , 1993 .
[8] Anthony V. Robins,et al. The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts , 1999, Neural Networks.
[9] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..
[10] D. Schacter. Perceptual Representation Systems and Implicit Memory , 1990, Annals of the New York Academy of Sciences.
[11] R Ratcliff,et al. Connectionist models of recognition memory: constraints imposed by learning and forgetting functions. , 1990, Psychological review.
[12] R Ratcliff,et al. Bias in the priming of object decisions. , 1995, Journal of experimental psychology. Learning, memory, and cognition.
[13] James L. McClelland,et al. Distributed memory and the representation of general and specific information. , 1985, Journal of experimental psychology. General.
[14] E Tulving,et al. Priming and human memory systems. , 1990, Science.
[15] Stephen Grossberg,et al. Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..
[16] Pierre Poirier,et al. Atomistic learning in non-modular systems , 2005 .
[17] Noel E. Sharkey,et al. An Analysis of Catastrophic Interference , 1995, Connect. Sci..
[18] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[19] L. Jacoby. Perceptual enhancement: persistent effects of an experience. , 1983, Journal of experimental psychology. Learning, memory, and cognition.
[20] Bernard Ans,et al. Neural networks with a self-refreshing memory: Knowledge transfer in sequential learning tasks without catastrophic forgetting , 2000, Connect. Sci..
[21] R. French. Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference , 2019, Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society.
[22] Robert M. French,et al. Semi-distributed Representations and Catastrophic Forgetting in Connectionist Networks , 1992 .
[23] L’oubli catastrophique it,et al. Avoiding catastrophic forgetting by coupling two reverberating neural networks , 2004 .
[24] Anthony V. Robins,et al. Consolidation in Neural Networks and in the Sleeping Brain , 1996, Connect. Sci..
[25] G. Mandler. Recognizing: The judgment of previous occurrence. , 1980 .
[26] Robert M. French,et al. Pseudopatterns and dual-network memory models: Advantages and shortcomings , 2000, NCPW.
[27] R. French. Catastrophic forgetting in connectionist networks , 1999, Trends in Cognitive Sciences.
[28] Anthony V. Robins,et al. Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks , 1998, Connect. Sci..
[29] Robert M. French,et al. Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting , 2004, Connect. Sci..
[30] Larry L. Jacoby,et al. Illusions of immediate memory: evidence of an attributional basis for feelings of familiarity and perceptual quality , 1990 .
[31] R. Nosofsky. Similarity Scaling and Cognitive Process Models , 1992 .
[32] Michael McCloskey,et al. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem , 1989 .
[33] L. Jacoby. A process dissociation framework: Separating automatic from intentional uses of memory , 1991 .
[34] S. Lewandowsky,et al. Catastrophic interference in neural networks , 1995 .
[35] E. Capaldi,et al. The organization of behavior. , 1992, Journal of applied behavior analysis.
[36] Stephen Grossberg,et al. The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.
[37] Robert M. French,et al. Pseudo-recurrent Connectionist Networks: An Approach to the 'Sensitivity-Stability' Dilemma , 1997, Connect. Sci..
[38] A. Yonelinas. The Nature of Recollection and Familiarity: A Review of 30 Years of Research , 2002 .