The University of Chicago Header Logo

Connection

Nicholas G. Hatsopoulos to Macaca

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

0.475
  1. Nonmonotonic spatial structure of interneuronal correlations in prefrontal microcircuits. Proc Natl Acad Sci U S A. 2018 04 10; 115(15):E3539-E3548.
    View in: PubMed
    Score: 0.152
  2. Consideration of the functional relationship between cortex and motor periphery improves offline decoding performance. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4868-71.
    View in: PubMed
    Score: 0.114
  3. Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex. Elife. 2023 05 11; 12.
    View in: PubMed
    Score: 0.054
  4. 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: 0.030
  5. Semiautomatic marker tracking of tongue positions captured by videofluoroscopy during primate feeding. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:5347-50.
    View in: PubMed
    Score: 0.030
  6. Functional connectivity and tuning curves in populations of simultaneously recorded neurons. PLoS Comput Biol. 2012; 8(11):e1002775.
    View in: PubMed
    Score: 0.026
  7. Granger causality analysis of functional connectivity of spiking neurons in orofacial motor cortex during chewing and swallowing. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4587-90.
    View in: PubMed
    Score: 0.025
  8. Statistical encoding model for a primary motor cortical brain-machine interface. IEEE Trans Biomed Eng. 2005 Jul; 52(7):1312-22.
    View in: PubMed
    Score: 0.016
  9. Spatiotemporal tuning of motor cortical neurons for hand position and velocity. J Neurophysiol. 2004 Jan; 91(1):515-32.
    View in: PubMed
    Score: 0.014
  10. Robustness of neuroprosthetic decoding algorithms. Biol Cybern. 2003 Mar; 88(3):219-28.
    View in: PubMed
    Score: 0.013
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.