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Connection

Nicholas G. Hatsopoulos to Brain

This is a "connection" page, showing publications Nicholas G. Hatsopoulos has written about Brain.
Connection Strength

0.836
  1. Causal network in a deafferented non-human primate brain. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:59-62.
    View in: PubMed
    Score: 0.236
  2. The science of neural interface systems. Annu Rev Neurosci. 2009; 32:249-66.
    View in: PubMed
    Score: 0.156
  3. Observation-based learning for brain-machine interfaces. Curr Opin Neurobiol. 2008 Dec; 18(6):589-94.
    View in: PubMed
    Score: 0.154
  4. Similarity in Neuronal Firing Regimes across Mammalian Species. J Neurosci. 2016 05 25; 36(21):5736-47.
    View in: PubMed
    Score: 0.065
  5. Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortex. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:5343-6.
    View in: PubMed
    Score: 0.059
  6. Exploiting multiple sensory modalities in brain-machine interfaces. Neural Netw. 2009 Nov; 22(9):1224-34.
    View in: PubMed
    Score: 0.040
  7. Bayesian inference of functional connectivity and network structure from spikes. IEEE Trans Neural Syst Rehabil Eng. 2009 Jun; 17(3):203-13.
    View in: PubMed
    Score: 0.039
  8. Biomimetic brain machine interfaces for the control of movement. J Neurosci. 2007 Oct 31; 27(44):11842-6.
    View in: PubMed
    Score: 0.036
  9. Elementary computation of object approach by wide-field visual neuron. Science. 1995 Nov 10; 270(5238):1000-3.
    View in: PubMed
    Score: 0.016
  10. Functional connectivity and tuning curves in populations of simultaneously recorded neurons. PLoS Comput Biol. 2012; 8(11):e1002775.
    View in: PubMed
    Score: 0.013
  11. Conditional modeling and the jitter method of spike resampling. J Neurophysiol. 2012 Jan; 107(2):517-31.
    View in: PubMed
    Score: 0.012
  12. Toward a biomimetic, bidirectional, brain machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:3376-80.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.