Briefings on Concept Neural Network framework
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Settings
- A group of sparsely connected spiking neurons;
- Randomly selected time delays;
- STDP on weights.
Observation methods
- PG detection algorithms;
- PG interaction detection algorithms;
Theories
- PG definition;
- PG dynamics without STDP (hard-wired);
- PG dynamics with STDP (soft-wired);
- Using PG/Neural Assembly to represent concepts;
- How concepts could execute actual things (connection to some “motor concepts”).
Applications
- Concept neural network for some simple bio-mimic simulations.
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