ArticleCognitive neurodynamics2017
Towards neuro-inspired symbolic models of cognition: linking neural dynamics to behaviors through asynchronous communications.
Article in Cognitive neurodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Grounding Mental Representations in a Virtual Multi-Level Functional Framework.Journal of cognition · 2023Article
- Primal-size neural circuits in meta-periodic interaction.Cognitive neurodynamics · 2021Article
- Probabilistically segregated neural circuits and subcritical linguistics.Cognitive neurodynamics · 2020Article
- Deterministic characteristics of spontaneous activity detected by multi-fractal analysis in a spiking neural network with long-tailed distributions of synaptic weights.Cognitive neurodynamics · 2020Article
- Detecting prostate cancer using deep learning convolution neural network with transfer learning approach.Cognitive neurodynamics · 2020Article
- An adaptive decoder design based on the receding horizon optimization in BMI system.Cognitive neurodynamics · 2020Article
- Modeling the Synchronization of Multimodal Perceptions as a Basis for the Emergence of Deterministic Behaviors.Frontiers in neurorobotics · 2020Article
- Points and lines inside human brains.Cognitive neurodynamics · 2019Review
- Complex temporal patterns processing by a neural mass model of a cortical column.Cognitive neurodynamics · 2019Article
- Symbolic Modeling of Asynchronous Neural Dynamics Reveals Potential Synchronous Roots for the Emergence of Awareness.Frontiers in computational neuroscience · 2019Article
- A feature-based neurocomputational model of semantic memory.Cognitive neurodynamics · 2018Article
- Personality development in psychotherapy: a synergetic model of state-trait dynamics.Cognitive neurodynamics · 2018Article
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Abstract
A computational architecture modeling the relation between perception and action is proposed. Basic brain processes representing synaptic plasticity are first abstracted through asynchronous communication protocols and implemented as virtual microcircuits. These are used in turn to build mesoscale circuits embodying parallel cognitive processes. Encoding these circuits into symbolic expressions gives finally rise to neuro-inspired programs that are compiled into pseudo-code to be interpreted by a virtual machine. Quantitative evaluation measures are given by the modification of synapse weights over time. This approach is illustrated by models of simple forms of behaviors exhibiting cognition up to the third level of animal awareness. As a potential benefit, symbolic models of emergent psychological mechanisms could lead to the discovery of the learning processes involved in the development of cognition. The executable specifications of an experimental platform allowing for the reproduction of simulated experiments are given in "Appendix".
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