Francesca Mastrogiuseppe

Cognitive Neuroscience · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 44 citations into it; #7,582 of 10,852 by trust here, #8,619 by citations
• Artificial Intelligence — 26 citations into it
• Electrical and Electronic Engineering — 16 citations into it; #10,923 of 16,539 by trust here, #13,165 by citations
• Cellular and Molecular Neuroscience — 10 citations into it

Whom Francesca Mastrogiuseppe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Herbert Jaeger
2. Harald Haas
3. David Sussillo
4. John P. Cunningham
5. Xiao-Jing Wang
6. Mattia Rigotti
7. Srdjan Ostojic
8. Yasushi Miyashita
9. Katsuyuki Sakai
10. John J. Hopfield

Who trusts Francesca Mastrogiuseppe overall

1. Mehrdad Jazayeri
2. Guangyu Robert Yang
3. Srdjan Ostojic

Papers from Francesca Mastrogiuseppe's perspective

Ordered by how strongly the researchers Francesca Mastrogiuseppe trusts endorse each paper. Same corpus, a different order for every researcher.

1. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
2. ImageNet classification with deep convolutional neural networks
3. Automatic differentiation in PyTorch
4. Receptive fields of single neurones in the cat's striate cortex
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. State-dependent computations: spatiotemporal processing in cortical networks
9. Recurrent Network Models of Sequence Generation and Memory. (Neuron)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks. (2017) — 412 citations
• Complementary roles of dimensionality and population structure in neural computations (2020) — 40 citations