On the use of compressive sensing (CS) exploiting block sparsity for neural spike recording.
Hossein ZamaniHamid BahramiPedram MohseniPublished in: BioCAS (2016)
Keyphrases
- compressive sampling
- compressive sensing
- spike trains
- compressed sensing
- random projections
- image recovery
- sparse representation
- spiking neurons
- neural network
- signal processing
- neuronal networks
- image representation
- structured sparsity
- sparse reconstruction
- distributed source coding
- computer vision
- transform domain
- orthogonal matching pursuit
- support vector
- hodgkin huxley