Jonathan W Pillow

Summary

Affiliation: University College London
Country: UK

Publications

  1. ncbi Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis
    Jonathan W Pillow
    Gatsby Computational Neuroscience Unit, University College London, London, UK
    J Vis 6:414-28. 2006
  2. ncbi Spatio-temporal correlations and visual signalling in a complete neuronal population
    Jonathan W Pillow
    Gatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London WC1N 3AR, UK
    Nature 454:995-9. 2008
  3. ncbi Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
    Liam Paninski
    Howard Hughes Medical Institute, Center for Neural Science, New York University, New York, NY 10003, USA
    Neural Comput 16:2533-61. 2004
  4. ncbi Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model
    Jonathan W Pillow
    Howard Hughes Medical Institute, Center for Neural Science, Courant Institute of Mathematical Sciences, New York University, New York, New York 10003, USA
    J Neurosci 25:11003-13. 2005
  5. ncbi Spike-triggered neural characterization
    Odelia Schwartz
    Howard Hughes Medical Institute and The Salk Intitute, La Jolla, CA 92037, USA
    J Vis 6:484-507. 2006

Detail Information

Publications5

  1. ncbi Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis
    Jonathan W Pillow
    Gatsby Computational Neuroscience Unit, University College London, London, UK
    J Vis 6:414-28. 2006
    ..We demonstrate the effectiveness of the method by applying it to simulated responses of a Hodgkin-Huxley neuron and the recorded extracellular responses of macaque retinal ganglion cells and V1 cells...
  2. ncbi Spatio-temporal correlations and visual signalling in a complete neuronal population
    Jonathan W Pillow
    Gatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London WC1N 3AR, UK
    Nature 454:995-9. 2008
    ..This model-based approach reveals the role of correlated activity in the retinal coding of visual stimuli, and provides a general framework for understanding the importance of correlated activity in populations of neurons...
  3. ncbi Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
    Liam Paninski
    Howard Hughes Medical Institute, Center for Neural Science, New York University, New York, NY 10003, USA
    Neural Comput 16:2533-61. 2004
    ....
  4. ncbi Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model
    Jonathan W Pillow
    Howard Hughes Medical Institute, Center for Neural Science, Courant Institute of Mathematical Sciences, New York University, New York, New York 10003, USA
    J Neurosci 25:11003-13. 2005
    ..Finally, the model can be used to derive an explicit, maximum-likelihood decoding rule for neural spike trains, thus providing a tool for assessing the limitations that spiking variability imposes on sensory performance...
  5. ncbi Spike-triggered neural characterization
    Odelia Schwartz
    Howard Hughes Medical Institute and The Salk Intitute, La Jolla, CA 92037, USA
    J Vis 6:484-507. 2006
    ..We describe this methodology, demonstrating it with simulated model neuron examples that emphasize practical issues that arise in experimental situations...