Randomly Spiking Dynamic Neural Fields Driven by a Shared Random Flow.
Benoît Chappet de VangelBernard GirauPublished in: ICANN (1) (2016)
Keyphrases
- bio inspired
- neural network
- hebbian learning
- spike trains
- biologically plausible
- neuron model
- spiking neural networks
- network architecture
- dynamically changing
- learning rules
- feed forward
- flow field
- randomly chosen
- basal ganglia
- multiple users
- search algorithm
- case study
- decision making
- neural models
- artificial intelligence
- spiking neurons
- machine learning