Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
- Germán Abrevaya
- Guillaume Dumas
- et al.
- 2021
- Neural Computation
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12 results at Neural Computation
Energy-efficient neuromorphic classifiers
- Daniel Martí
- Mattia Rigotti
- et al.
- 2016
- Neural Computation
Correlational neural networks
- Sarath Chandar
- Mitesh M. Khapra
- et al.
- 2016
- Neural Computation
Derivatives of logarithmic stationary distributions for policy gradient reinforcement learning
- Tetsuro Morimura
- Eiji Uchibe
- et al.
- 2010
- Neural Computation
Experience-Induced Neural Circuits That Achieve High Capacity
- Vitaly Feldman
- Leslie G. Valiant
- 2009
- Neural Computation
Learning bounds for kernel regression using effective data dimensionality
- Tong Zhang
- 2005
- Neural Computation
Leave-one-out bounds for kernel methods
- Tong Zhang
- 2003
- Neural Computation
Approximation bounds for some sparse kernel regression algorithms
- Tong Zhang
- 2002
- Neural Computation
A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions
- Ralph Linsker
- 1997
- Neural Computation
On Bias Plus Variance
- David H. Wolpert
- 1997
- Neural Computation