Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networks.
Victor J. BarrancaPublished in: J. Comput. Neurosci. (2023)
Keyphrases
- nonlinear dynamics
- compressed sensing
- compressive sensing
- neuronal networks
- signal reconstruction
- neural network
- image reconstruction
- dynamical systems
- lyapunov exponents
- three dimensional
- sparse representation
- binary matrices
- high dimensional
- sparse data
- random projections
- feed forward
- recurrent neural networks
- sparsity constraints
- connected components
- sparse reconstruction
- high resolution
- diffusion weighted mri
- reconstruction process
- discrete tomography
- input data
- artificial neural networks