ArticleFrontiers in robotics and AI2018
From Focused Thought to Reveries: A Memory System for a Conscious Robot.
Article in Frontiers in robotics and AI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Simulations of working memory spiking networks driven by short-term plasticity.Frontiers in integrative neuroscience · 2022Article
- The Missing Link Between Memory and Reinforcement Learning.Frontiers in psychology · 2020Article
- Developing Self-Awareness in Robots via Inner Speech.Frontiers in robotics and AI · 2020Article
- Cumulative inhibition in neural networks.Cognitive processing · 2019Article
- Symbolic Modeling of Asynchronous Neural Dynamics Reveals Potential Synchronous Roots for the Emergence of Awareness.Frontiers in computational neuroscience · 2019Article
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Authors and funding
4 authors.
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Abstract
We introduce a memory model for robots that can account for many aspects of an inner world, ranging from object permanence, episodic memory, and planning to imagination and reveries. It is modeled after neurophysiological data and includes parts of the cerebral cortex together with models of arousal systems that are relevant for consciousness. The three central components are an identification network, a localization network, and a working memory network. Attention serves as the interface between the inner and the external world. It directs the flow of information from sensory organs to memory, as well as controlling top-down influences on perception. It also compares external sensations to internal top-down expectations. The model is tested in a number of computer simulations that illustrate how it can operate as a component in various cognitive tasks including perception, the A-not-B test, delayed matching to sample, episodic recall, and vicarious trial and error.
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