Janina Hesse

Cognitive Neuroscience · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Janina Hesse trusts overall

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

  1. John M. Beggs
  2. Mark Newman
  3. Dietmar Plenz
  4. C. Haldeman
  5. John M. Guckenheimer
  6. Paolo Moretti
  7. Dimitrije Marković
  8. Woodrow L. Shew
  9. Thomas Natschläger
  10. Aaron Clauset

Who trusts Janina Hesse overall

  1. Maxwell James D. Ramstead
  2. Miguel Angel Muñoz
  3. Paul B. Badcock
  4. Charles H. Martin
  5. Eric Jonas
  6. Karl J. Friston

Papers from Janina Hesse's perspective

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

  1. Power-Law Distributions in Empirical Data
  2. Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks (Neural Computation)
  3. Critical branching captures activity in living neural networks and maximizes the number of metastable States. (Physical Review Letters)
  4. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations (Journal of Neuroscience)
  5. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
  6. Power laws, Pareto distributions and Zipf's law
  7. The criticality hypothesis: how local cortical networks might optimize information processing (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
  8. Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches (Journal of Neuroscience)
  9. Power-Law Scaling in the Brain Surface Electric Potential (PLoS Comput. Biol.)
  10. Criticality in Large-Scale Brain fMRI Dynamics Unveiled by a Novel Point Process Analysis (Front. Physio.)

Their papers