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Neural constraints on learning Nature, 512 (2014), pp. 423-426 CrossrefView in ScopusGoogle Scholar Santhanam et al., 2006 G. Santhanam, S.I. Ryu, B.M. Yu, A. Afshar, K.V. Shenoy A high-performance brain-computer interface Nature, 442 (2006), pp. 195-198 CrossrefView in Scopus...
Neural constraints on learning Nature, 512 (2014), pp. 423-426 CrossrefView in ScopusGoogle Scholar Schroeder et al., 2017 K.E. Schroeder, Z.T. Irwin, A.J. Bullard, D.E. Thompson, J.N. Bentley, W.C. Stacey, P.G. Patil, C.A. Chestek Robust tactile sensory responses in finger...
and this localized pattern correlates with precise microstructural differences in the white matter pathways connecting frontal to auditory regions. Finally, the data expose a mechanism that underpins performance on an ecologically relevant word-learning task. We suggest that this task will help to better...
Commonly, if a linear network has at least as many degrees of freedom (S *R + S = number of weights and biases) as constraints (Q = pairs of input/target vectors), then the network can solve the problem. This is true except when the input vectors are linearly dependent and they are...
In addition to training on a set of labeled frames, it trains on many unlabeled video clips and penalizes itself when its sequences of pose predictions are incoherent (that is, violate basic spatiotemporal constraints). The unlabeled videos are decoded and process...
Constraints on strides. Note again that the spatial arrangement hyperparameters have mutual constraints. For example, when the input has size W=10W=10, no zero-padding is used P=0P=0, and the filter size is F=3F=3, then it would be impossible to use stride S=2S=2, since (W−F+...
our neuro-imaging analyses then revealed a functional dissociation. On the one hand, neural activity in the negative prefrontal network (i.e., DMPFC and DLPFC) correlated with a condition-specific confidence signal that gradually builds up, independently in each learning context. On the other hand...
- 《IEEE Transactions on Neural Networks & Learning Systems》 被引量: 100发表: 2014年 Adaptive neural control of nonlinear MIMO systems with time-varying output constraints. IEEE transactions on neural networks and learning systemsW. Meng, Q. Yang, and Y. Sun, "Adaptive neural control of ...