Reconstructing Neural Parameters and Synapses of arbitrary interconnected Neurons from their Simulated Spiking Activity.
Joern FischerPoramate ManoonpongS. LacknerPublished in: CoRR (2016)
Keyphrases
- spiking neural networks
- hebbian learning
- spiking neurons
- neuron model
- spike trains
- biologically inspired
- neural models
- synaptic plasticity
- biologically plausible
- feed forward
- single neuron
- hodgkin huxley
- neural network
- associative memory
- learning rules
- artificial neural networks
- bio inspired
- receptive fields
- maximum likelihood
- synaptic weights
- action potentials
- liquid state machine
- fuzzy cognitive maps
- parameter estimation
- network architecture
- parameter values
- output layer
- visual cortex
- network model
- control algorithm
- recurrent neural networks