Samanwoy Ghosh-Dastidar

Cognitive Neuroscience · 2004–2009

A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 26 citations into it; #871 of 10,852 by trust here, #1,650 by citations
• Artificial Intelligence — 20 citations into it; #13,840 of 35,345 by trust here, #21,878 by citations
• Statistical and Nonlinear Physics — 9 citations into it; #2,851 of 10,127 by trust here, #1,838 by citations
• Control and Systems Engineering — 8 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #1,518 of 16,539 by trust here, #5,871 by citations
• Model Architectures — 8 citations into it
• Signal Processing — 6 citations into it; #5,278 of 7,572 by trust here, #4,051 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Samanwoy Ghosh-Dastidar trusts overall

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

1. Wulfram Gerstner
2. Hojjat Adeli
3. Nicolas J.-B. Brunel
4. R. Fisher
5. Nahid Dadmehr
6. Eugene M. Izhikevich
7. David E. Rumelhart
8. Wolfgang Maass
9. Sander M. Bohte
10. Ralph G. Andrzejak

Who trusts Samanwoy Ghosh-Dastidar overall

1. Usha R. Acharya
2. Hojjat Adeli
3. Filip Ponulak
4. Mehran Ahmadlou
5. Andrzej J. Kasinski
6. Oliver Faust
7. Shu Lih Oh
8. Amirhossein Tavanaei
9. Subbhuraam Vinitha Sree
10. Rajendra Acharya

Papers from Samanwoy Ghosh-Dastidar's perspective

Ordered by how strongly the researchers Samanwoy Ghosh-Dastidar trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. SPIKING NEURON MODELS Single Neurons , Populations , Plasticity
3. A quantitative description of membrane current and its application to conduction and excitation in nerve
4. Gradient-based learning applied to document recognition
5. Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
6. Solving the distal reward problem through linkage of STDP and dopamine signaling
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Competitive Learning: From Interactive Activation to Adaptive Resonance
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks (2004) — 748 citations
• A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection (2009) — 452 citations
• Improved spiking neural networks for EEG classification and epilepsy and seizure detection (2007) — 364 citations
• Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection (2008) — 476 citations
• A Wavelet-Chaos Methodology for Analysis of EEGs and EEG Subbands to Detect Seizure and Epilepsy (2007) — 664 citations
• Mixed-Band Wavelet-Chaos-Neural Network Methodology for Epilepsy and Epileptic Seizure Detection (2007) — 473 citations