R. Basanisi

Cognitive Neuroscience · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 53 citations into it
• Signal Processing — 5 citations into it

Whom R. Basanisi trusts overall

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

1. Thomas Schreiber
2. Olaf Sporns
3. Clive W. J. Granger
4. William J. McGill
5. Johannes Lederer
6. Richard S. Sutton
7. Michael Wibral
8. Eric Maris
9. Partha P. Mitra
10. Paul L. Williams

Papers from R. Basanisi's perspective

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

1. Reinforcement Learning: An Introduction
2. Dynamic predictions: Oscillations and synchrony in top–down processing (Nature Reviews Neuroscience)
3. Measuring information transfer
4. Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations (Science)
5. The brainweb: Phase synchronization and large-scale integration (Nature Reviews Neuroscience)
6. A Neural Substrate of Prediction and Reward
7. Network attributes for segregation and integration in the human brain. (Current Opinion in Neurobiology)
8. Rethinking segregation and integration: contributions of whole-brain modelling (Nature Reviews Neuroscience)
9. Investigating causal relations by econometric models and cross-spectral methods
10. Coupling between neuronal firing rate, gamma LFP, and BOLD fMRI is related to interneuronal correlations. (Current Biology)

Their papers

• Neural interactions in the human frontal cortex dissociate reward and punishment learning (2024)
• Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data (2021)