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- W2950274013 abstract "We propose a model for description of activity-dependent evolution and self-wiring between binary neurons. Specifically, this model can be used for investigation of growth of neuronal connectivity in the developing neocortex. By using computational simulations with appropriate training pattern sequences, we show that long-term memory can be encoded in neuronal connectivity and that the external stimulations form part of the functioning neocortical circuit. It is proposed that such binary neuron representations of point-like cortical neurons fail to reproduce cytoarchitectural differences of the neocortical organization, which has implications for inadequacies of compartmental models." @default.
- W2950274013 created "2019-06-27" @default.
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- W2950274013 date "2006-07-04" @default.
- W2950274013 modified "2023-09-27" @default.
- W2950274013 title "Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences" @default.
- W2950274013 hasPublicationYear "2006" @default.
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