Xaq Pitkow

Neuroscience Baylor College of Medicine, Houston, TX 
"Xaq Pitkow"
Mean distance: 14.11 (cluster 6)


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Markus Meister grad student 2006 Harvard
 (Optimality principles for the visual code.)
Haim Sompolinsky grad student 2003-2006 Hebrew University
Kenneth D. Miller post-doc 2006-2009 Columbia
Larry F. Abbott post-doc 2006-2010 Columbia
Alexandre Pouget post-doc 2010-2013 Rochester
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Lakshminarasimhan KJ, Pouget A, DeAngelis GC, et al. (2018) Inferring decoding strategies for multiple correlated neural populations. Plos Computational Biology. 14: e1006371
Lakshminarasimhan KJ, Petsalis M, Park H, et al. (2018) A Dynamic Bayesian Observer Model Reveals Origins of Bias in Visual Path Integration. Neuron
Pitkow X, Angelaki DE. (2017) Inference in the Brain: Statistics Flowing in Redundant Population Codes. Neuron. 94: 943-953
Kim HR, Pitkow X, Angelaki DE, et al. (2016) A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons. Journal of Neurophysiology. jn.00005.2016
Pitkow X, Liu S, Angelaki DE, et al. (2015) How Can Single Sensory Neurons Predict Behavior? Neuron. 87: 411-23
Moreno-Bote R, Beck J, Kanitscheider I, et al. (2014) Information-limiting correlations. Nature Neuroscience. 17: 1410-7
Beck JM, Ma WJ, Pitkow X, et al. (2012) Not noisy, just wrong: the role of suboptimal inference in behavioral variability. Neuron. 74: 30-9
Pitkow X, Meister M. (2012) Decorrelation and efficient coding by retinal ganglion cells. Nature Neuroscience. 15: 628-35
Pitkow X. (2012) Compressive neural representation of sparse, high-dimensional probabilities Advances in Neural Information Processing Systems. 2: 1349-1357
Pitkow X, Ahmadian Y, Miller KD. (2011) Learning unbelievable probabilities. Advances in Neural Information Processing Systems. 24: 738-746
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