| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10481073 | Physica A: Statistical Mechanics and its Applications | 2012 | 6 Pages |
Abstract
⺠A network of spiking neurons with associative memory capability is proposed. ⺠Both chemical and electrical synapses were used to build the connections. ⺠Hebbian-like learning codifies stable trajectories in networks of spiking neurons. ⺠Different stimuli elicit distinct trajectories. ⺠A fixed point is reached when the activation time is large enough.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Everton J. Agnes, Rubem Jr., Leonardo G. Brunnet,