Feel free to email paper suggestions to Adam Charles (adamsc[at] princeton).

Paper Suggestions


  1. Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex.
    Cowley, Smith, Kohn & Yu PLOS Computational Biology (2016).
     
  2. Learning arbitrary dynamics in efficient, balanced spiking networks using local plasticity rules.
    Alemi, Machens, Deneve & Slotine arxiv (2017).
     
  3. A unifying motif for spatial and directional surround suppression.
    Liu, Miller & Pack biorxiv (2017).
     
  4. Neuron’s eye view: Inferring features of complex stimuli from neural responses.
    Chen, Beck & Pearson PLOS Computational Biology (2017).
     
  5. Nonlinear hebbian learning as a unifying principle in receptive field formation.
    Brito & Gerstner PLOS Computational Biology (2016).
     
  6. Adaptation without plasticity.
    del Mar Quiroga, Morris & Krekelberg Cell (2016).
     
  7. Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories.
    Barron, Vogels, Emir, Makin, O’Shea,Clare, Jbabdi, Dolan, & Behrens Neuron (2016).
     
  8. A Global Geometric Framework for Nonlinear Dimensionality Reduction.
    Tenenbaum, de Silva & Langford. Science (2000).
     
  9. Attention stabilizes the shared gain of V4 populations.
    Rabinowitz, Goris, Cohen & Simoncelli eLife (2015).
     
  10. Distinct recurrent versus afferent dynamics in cortical visual processing.
    Reinhold, Lien, & Scanziani, Nat Neurosci (2015).
     
  11. Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program.
    Bruno, Frost & Humphries,Neuron (2015).
     
  12. Optimal control of transient dynamics in balanced networks supports generation of complex movements. Hennequin, Vogels, & Gerstner. Neuron (2014).
     
  13. Spatial segregation of adaptation and predictive sensitization in retinal ganglion cells.
    Kastner & Baccus, Neuron, (2013).
     
  14. Marginalization in neural circuits with divisive normalization.
    Beck, Latham & Pouget J. Neuroscience, (2011).
     
  15. Computational account of spontaneous activity as a signature of predictive coding.
    Koran & Deneve, PLOS Comp. Bio., (2017).
     
  16. Visual motion computation in recurrent neural networks.
    Pachitariu & Sahani NIPS, (2017).
     
  17. Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program.
    Bruno, Frost & Humphries, Neuron, (2015).
     
  18. Computing by robust transience: How the fronto-parietal network performs sequential, category-based decisions.
    Chaisangmongkon, Swaminathan, Freedman & Wang, Neuron, (2017).
     
  19. A modeling framework for deriving the structural and functional architecture of a short-term memory microcircuit.
    Fisher et al., Neuron, (1997).