Planning with Biological Neurons and Synapses.
Francesco D'AmoreDaniel MitropolskyPierluigi CrescenziEmanuele NataleChristos H. PapadimitriouPublished in: CoRR (2021)
Keyphrases
- biologically plausible
- synaptic plasticity
- associative memory
- synaptic weights
- receptive fields
- spiking neural networks
- spiking neurons
- biologically inspired
- neural models
- neural network
- planning problems
- feed forward
- hebbian learning
- biological data
- decision support
- planning process
- visual cortex
- stochastic domains
- life sciences
- regulatory networks
- ai planning
- action selection
- planning domains
- biological systems
- network model
- artificial neural networks
- search algorithm