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

No abstract is available for this paper.

• Publication year

  2009

• Venue

  Connection science

• Publication date

  2009-11-17

• Fields of study

  Computer Science, Psychology

• Identifiers
  DOI 10.1080/09540090903067493
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Atomistic learning in non-modular systems

  2005cited by this paper
• Acquisition of Long-Term Visual Representations: Psychological and Neural Mechanisms

  2005cited by this paper
• Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting

  2004influential reference
• Avoiding catastrophic forgetting by coupling two reverberating neural networks

  2004influential reference
• Sequential Learning in Distributed Neural Networks without Catastrophic Forgetting: A Single and Realistic Self-Refreshing Memory Can Do It

  2004influential reference
• The Nature of Recollection and Familiarity: A Review of 30 Years of Research

  2002cited by this paper
• Neural networks with a self-refreshing memory: Knowledge transfer in sequential learning tasks without catastrophic forgetting

  2000influential reference
• Pseudopatterns and dual-network memory models: Advantages and shortcomings

  2000cited by this paper
• The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts

  1999cited by this paper
• Catastrophic forgetting in connectionist networks.

  1999cited by this paper
• Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks

  1998cited by this paper
• Pseudo-recurrent Connectionist Networks: An Approach to the 'Sensitivity-Stability' Dilemma

  1997cited by this paper
• Avoiding catastrophic forgetting by coupling two reverberating neural networks

  1997influential reference
• Consolidation in Neural Networks and in the Sleeping Brain

  1996cited by this paper
• Catastrophic interference in neural networks

  1995cited by this paper
• Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

  1995influential reference
• An Analysis of Catastrophic Interference

  1995cited by this paper
• Bias in the priming of object decisions.

  1995influential reference
• Catastrophic Forgetting, Rehearsal and Pseudorehearsal

  1995cited by this paper
• ON THE RELATION BETWEEN CATASTROPHIC INTERFERENCE AND GENERALIZATION IN CONNECTIONIST NETWORKS

  1994cited by this paper
• Catastrophic Interference is Eliminated in Pretrained Networks

  1993cited by this paper
• Similarity Scaling and Cognitive Process Models

  1992cited by this paper
• Semi-distributed Representations and Catastrophic Forgetting in Connectionist Networks

  1992cited by this paper
• The organization of behavior.

  1992cited by this paper
• A process dissociation framework: Separating automatic from intentional uses of memory

  1991influential reference
• Perceptual Representation Systems and Implicit Memory

  1990cited by this paper
• Illusions of immediate memory: evidence of an attributional basis for feelings of familiarity and perceptual quality

  1990cited by this paper
• Connectionist models of recognition memory: constraints imposed by learning and forgetting functions.

  1990cited by this paper
• Priming and human memory systems.

  1990cited by this paper
• Connectionist Learning Procedures

  1989cited by this paper
• Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem

  1989cited by this paper
• The ART of adaptive pattern recognition by a self-organizing neural network

  1988cited by this paper
• Competitive Learning: From Interactive Activation to Adaptive Resonance

  1987cited by this paper
• Distributed memory and the representation of general and specific information.

  1985cited by this paper
• The effect of a prior presentation on temporal judgments in a perceptual identification task

  1985cited by this paper
• Perceptual enhancement: persistent effects of an experience.

  1983cited by this paper
• Recognizing: The judgment of previous occurrence.

  1980influential reference

• Generalization of iterative sampling in autoencoders

  2020cites this paper
• Plasticity and Firing Rate Dynamics in Leaky Integrate-and-Fire Models of Cortical Circuits

  2019cites this paper
• HOMEOSTATIC LEARNING RULE FOR ARTIFICIAL NEURAL NETWORKS

  2018cites this paper
• The role of cue information in the outcome-density effect: evidence from neural network simulations and a causal learning experiment

  2010cites this paper