Aboozar Taherkhani

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 36 citations into it
• Electrical and Electronic Engineering — 31 citations into it
• Artificial Intelligence — 11 citations into it

Whom Aboozar Taherkhani trusts overall

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

1. Eugene M. Izhikevich
2. D. Feldman
3. Friedemann Zenke
4. Michael Pfeiffer
5. Sander M. Bohte
6. Emre O. Neftci
7. Geoffrey E. Hinton
8. Guillaume Bellec
9. Bodo Rueckauer
10. Hesham Mostafa

Who trusts Aboozar Taherkhani overall

1. Wei Fang

Papers from Aboozar Taherkhani's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Reinforcement Learning: An Introduction

Their papers

• A review of learning in biologically plausible spiking neural networks (2019) — 384 citations