# Selected events in spring 2014

**Peter Orbanz**

*Columbia*

Nonparametric Bayesian models of graphs

Neurostat seminar

29 Jan 2014

**Michael Long**

*NYU*

Understanding how motor sequences are represented in the brain: The search for a chronotopic map

Neurostat seminar

12 Feb 2014

**Nicho Hatsopoulos**

*U. Chicago*

Spatio-temporal patterning in motor cortex

Neurotheory seminar

21 Feb 2014

**Arian Maleki**

*Columbia*

Theoretic and Algorithmic Blessings of High Dimension for Compressed Sensing

Neural engineering seminar

24 Feb 2014

**Ran He**

*Columbia*

Estimation of Exponential Random Graph Models for Large Social Networks via Graph Limits

Neurostat seminar

27 Feb 2014

**Don Katz**

*Brandeis*

Cortical ensemble dynamics of naturalistic deision-making

Neurotheory seminar

7 Mar 2014

**Misha Ahrens**

*Janelia*

Neuron-Resolution Interrogation of Whole-Brain Function in Zebrafish

Neural engineering seminar

10 Mar 2014

**Amy Orsborn**

*NYU*

Exploring decoder and neural adaptation in brain-machine interfaces

Neurostat seminar

12 Mar 2014

**Sharmodeep Bhattacharyya**

*Berkeley*

Statistical Inference of Features of Networks

Neurostat seminar

26 Mar 2014

**Johanni Brea**

*Bern*

Sequence learning with hidden neurons in spiking neural networks

Neurostat seminar

2 Apr 2014

**Eero Simoncelli**

*NYU*

Recovery of Sparse Translation-Invariant Signals with Continuous Basis Pursuit

Neural engineering seminar

7 Apr 2014

**Rishidev Chaudhuri**

*NYU*

Timescales and the large-scale organization of cortical dynamics

Neurostat seminar

9 Apr 2014

**Josh Tenenbaum**

*MIT*

The origins of common sense: Modeling human intelligence with probabilistic programs and program induction

Neurotheory seminar

11 Apr 2014

**Uygar Sumbul**

*MIT*

Submicron precision in the retina: classifying the cell types of the brain

Neurostat seminar

16 Apr 2014

**Patrick Wolfe**

*UCL*

Nonparametric estimation of network structure

Neurostat seminar

23 Apr 2014

**Dustin Stansbury**

*Berkeley*

Modeling neural representation with a general framework that combines statistical feature learning and nonlinear system identification

Neurostat seminar

24 Apr 2014

**Evan Archer**

*UT Austin*

Bayesian nonparametric methods for entropy estimation in spike data

Neurostat seminar

29 Apr 2014

**Maurizio Filippone**

*Glasgow*

Pseudo-Marginal Bayesian Inference for Gaussian Processes

Neurostat seminar

30 Apr 2014

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