March 3rd, 2014 at Cliff Lodge, Snowbird, Utah

Morning Session (8:20-11:00 am)

  • 8:20-8:30 Opening remarks
  • 8:30-9:00 Konrad Körding – Big datasets of spike data: why it is coming and why it is useful
  • 9:00-9:30 Jeremy Freeman – Distributed computing for large-scale neuroscience
  • 9:30-10:00 coffee break
  • 10:00-10:30 Mark Churchland – Tensor-based dimensionality reduction for data exploration
  • 10:30-11:00 John Cunningham – Generic linear dimensionality reduction for high-dimensional neural data

Afternoon Session (4:30-7:40 pm)

  • 4:30-5:00 Rob Kass – Statistical considerations in making inferences about neural networks: The case of synchrony detection
  • 5:00-5:30 Lars Büsing – Dynamical component analysis of neural data
  • 5:30-6:00 coffee break
  • 6:00-6:30 Matteo Carandini – Soloists and choristers in a cortical population
  • 30 min: Matthias Bethge  – Towards a complete representation of visual information at a single retinal location (cancelled)
  • 6:30-7:00 I. Memming ParkScaling up with Bayes
  • 7:00-7:30 Surya Ganguli – What are the right questions, and how many neurons do we need to answer them?
  • 10 min: Discussion

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