Rodrigo Laje
Cognitive Neuroscience · 2012
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 20 citations into it; #2,698 of 10,852 by trust here, #5,990 by citations
- Artificial Intelligence — 8 citations into it; #12,256 of 35,345 by trust here, #19,873 by citations
- Cellular and Molecular Neuroscience — 8 citations into it
- Electrical and Electronic Engineering — 7 citations into it
Whom Rodrigo Laje trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Giorgio Fagiolo
- Herbert Jaeger
- Dean V. Buonomano
- Duncan J. Watts
- David Sussillo
- Catalin V. Buhusi
- Haim Sompolinsky
- Eugene M. Izhikevich
- Steven H. Strogatz
- L. F. Abbott
Who trusts Rodrigo Laje overall
- H. Francis Song
- Guangyu Robert Yang
- Herbert Jaeger
- Kanaka Rajan
- Xiao-Jing Wang
- Kohei Nakajima
- Christopher D. Harvey
- Stefano Fusi
- Mikail Khona
- Nicolas Frémaux
Papers from Rodrigo Laje's perspective
Ordered by how strongly the researchers Rodrigo Laje trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural networks and physical systems with emergent collective computational abilities.
- Learning long-term dependencies with gradient descent is difficult
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- ImageNet classification with deep convolutional neural networks
- Timing in the absence of clocks: encoding time in neural network states. (Neuron)
- Gradient-based learning applied to document recognition
- Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Collective dynamics of ‘small-world’ networks
Their papers
- ROBUST TIMING AND MOTOR PATTERNS BY TAMING CHAOS IN RECURRENT NEURAL NETWORKS (2012) — 455 citations