Milan Brazdil

Cognitive Neuroscience · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Milan Brazdil trusts overall

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

  1. Karl J. Friston
  2. Simon S. Haykin

Papers from Milan Brazdil's perspective

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

  1. New developments in state estimation for nonlinear systems (at - Automatisierungstechnik)
  2. Gaussian filters for nonlinear filtering problems (IEEE Transactions on Automatic Control)
  3. Dynamic causal modelling
  4. Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics. (NeuroImage)
  5. Cubature Kalman Filters (IEEE Transactions on Automatic Control)
  6. A Stochastic Approximation Method
  7. Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations (IEEE Transactions on Automatic Control)
  8. Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses (NeuroImage)
  9. Physiological noise in oxygenation‐sensitive magnetic resonance imaging (Magnetic Resonance in Medicine)
  10. Glial and neuronal control of brain blood flow (Nature)

Their papers