V. Srinivasan

Cognitive Neuroscience · with Eswaran · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 5 citations into it; #3,800 of 10,852 by trust here, #4,716 by citations

Whom V. Srinivasan trusts overall

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

1. Ralph G. Andrzejak
2. Joshua S. Richman
3. Klaus Lehnertz
4. Florian Mormann
5. Chikkannan Eswaran

Who trusts V. Srinivasan overall

1. Alexandros T. Tzallas
2. Usha R. Acharya
3. Ling Guo
4. Markos G. Tsipouras
5. Daniel Rivero
6. Subbhuraam Vinitha Sree
7. Dimitrios I. Fotiadis
8. Chikkannan Eswaran
9. Natarajan Sriraam
10. Alejandro Pazos

Papers from V. Srinivasan's perspective

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

1. Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
2. A neural-network-based detection of epilepsy (Neurological Research)
3. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. (Physical review. E, Statistical, nonlinear, and soft matter physics)
4. A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. (Genome informatics. International Conference on Genome Informatics)
5. Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features (Journal of medical systems)
6. Linear prediction: A tutorial review
7. Epileptic Seizures May Begin Clinical Study Hours in Advance of Clinical Onset: A Report of Five Patients
8. Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition (European Journal of Neuroscience)
9. Nonlinear dynamical analysis of EEG and MEG: review of an emerging field. (Clinical Neurophysiology)
10. Adaptive epileptic seizure prediction system (IEEE Transactions on Biomedical Engineering)

Their papers

• Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks (2007) — 604 citations
• Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features (2005) — 454 citations