Kanaka Rajan

Summary

Affiliation: Princeton University
Country: USA

Publications

  1. pmc Maximally informative "stimulus energies" in the analysis of neural responses to natural signals
    Kanaka Rajan
    Joseph Henry Laboratories of Physics and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
    PLoS ONE 8:e71959. 2013
  2. doi request reprint Learning quadratic receptive fields from neural responses to natural stimuli
    Kanaka Rajan
    Joseph Henry Laboratories of Physics and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Neural Comput 25:1661-92. 2013
  3. ncbi request reprint Stimulus-dependent suppression of chaos in recurrent neural networks
    Kanaka Rajan
    Lewis Sigler Institute for Integrative Genomics, Icahn 262, Princeton University, Princeton, New Jersey 08544, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 82:011903. 2010

Detail Information

Publications3

  1. pmc Maximally informative "stimulus energies" in the analysis of neural responses to natural signals
    Kanaka Rajan
    Joseph Henry Laboratories of Physics and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
    PLoS ONE 8:e71959. 2013
    ..We hope that this approach will add significantly to the set of tools available for the analysis of neural responses to complex, naturalistic stimuli...
  2. doi request reprint Learning quadratic receptive fields from neural responses to natural stimuli
    Kanaka Rajan
    Joseph Henry Laboratories of Physics and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Neural Comput 25:1661-92. 2013
    ..We demonstrate the practical feasibility of these procedures by using model neurons responding to a flickering variance stimulus...
  3. ncbi request reprint Stimulus-dependent suppression of chaos in recurrent neural networks
    Kanaka Rajan
    Lewis Sigler Institute for Integrative Genomics, Icahn 262, Princeton University, Princeton, New Jersey 08544, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 82:011903. 2010
    ..A prediction of our analysis is that the variance of neural responses should be most strongly suppressed at frequencies matching the range over which many sensory systems operate...