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xaq lab | computational neuroscience | xaqlab.com Reviews
https://xaqlab.com
computational neuroscience
xaqlab.com
People | xaq lab
http://xaqlab.com/people
Skip to primary content. Xaq Pitkow: [ bio. KiJung Yoon [ blog. Kaushik Lakshminarasimhan (co-advised by Dora Angelaki). Proudly powered by WordPress.
Principles | xaq lab
http://xaqlab.com/principles
Skip to primary content. The rules of probabilistic inference, or principled approximations to them, offer hypotheses about how neural circuits could draw inferences in an uncertain world. Information is represented redundantly across many neurons in the brain. How can we understand the collective computational action of many neurons? We study population codes and how the measurable responses of only a subset of neurons out of many can help us understand neural computation and animal behavior.
Projects | xaq lab
http://xaqlab.com/ongoing-projects
Skip to primary content. We will use detailed measurements of function and structure of mouse visual cortex to reverse engineer the inference and learning algorithms of the brain. With our amazing experimental collaborators, we will record optically from 10. Andreas Tolias (PI); Xaq Pitkow (co-PI); Key personnel: Ankit Patel, Chris Xu, Raquel Urtasun, Rich Zemel, Matthias Bethge, Liam Paninsky, Richard Baraniuk, Thanos Siapas, Clay Reid, Sebastian Seung. IARPA, MICrONS project. Many task-irrelevant varia...
About | xaq lab
http://xaqlab.com/about-xaq
Skip to primary content. In addition to science, Xaq also enjoys creating art (especially sculpture) and music (especially piano and tabla), biking, and spending time with his family. Proudly powered by WordPress.
Publications | xaq lab
http://xaqlab.com/publications
Skip to primary content. Inferring decoding strategies for multiple correlated neural populations. Pitkow X, Angelaki D (2017). How the brain might work: Statistics flowing in redundant population codes. Pitkow X (2016). Probability by time. 92(2): 275 277 [ pdf. Preview of Orbán G, Berkes P, Fiser J, Lengyel M (2016). Neural variability and sampling-based probabilistic representations in the visual cortex. 116(3): 1449 67. doi: 10.1152/jn.00005.2016 [ link. Pitkow X (2012). Compressive neural repres...
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AOD | Andreas Tolias Lab
https://toliaslab.org/tag/aod
Baylor College of Medicine. Posts Tagged ‘AOD’. 3D random access two-photon imaging. On July 25, 2013. Read Full Post ». On July 25, 2013. Read Full Post ». Blog at WordPress.com. Create a free website or blog at WordPress.com. Follow “Andreas Tolias Lab”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
3D random access two-photon imaging | Andreas Tolias Lab
https://toliaslab.org/2013/07/25/aod-experiment-method
Baylor College of Medicine. Laquo; 3D Motion Tracking. 3D random access two-photon imaging. July 25, 2013 by atlab. Blog at WordPress.com. Follow “Andreas Tolias Lab”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
3D Motion Tracking | Andreas Tolias Lab
https://toliaslab.org/2013/07/25/aod-motion-tracking
Baylor College of Medicine. 3D random access two-photon imaging. July 25, 2013 by atlab. Create a free website or blog at WordPress.com. Follow “Andreas Tolias Lab”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
atlab | Andreas Tolias Lab
https://toliaslab.org/author/atlab
Baylor College of Medicine. Https:/ toliaslab.wordpress.com. July 25, 2013. 3D random access two-photon imaging. July 25, 2013. June 1, 2011. Create a free website or blog at WordPress.com. Blog at WordPress.com. Follow “Andreas Tolias Lab”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
Center for Theoretical Neuroscience | People
http://neurotheory.columbia.edu/people.html
Center for Theoretical Neuroscience. Columbia University, New York, NY. Theoretical analysis and computational modeling of network dynamics, memory storage and recall, spike-timing dependent synaptic plasticity, and multi-timescale adaptation in neural systems. Theoretical and computational methods investigating the circuitry of the cerebral cortex, the rules by which this circuitry develops or "self-organizes", and the computational functions of this circuitry. Models of brain function. Information proc...
Code and Algorithms | Andreas Tolias Lab
https://toliaslab.org/code-and-algorithms
Baylor College of Medicine. For the following publications code and/or data are available:. Ecker et al. (2014). Subramanyian et al. (2013). Ecker et al. (2010), Berens et al. (2012). Ecker et al. (2011). This page has the following sub pages. AOD Motion Tracking Algorithm. Blog at WordPress.com. Follow “Andreas Tolias Lab”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
People | Andreas Tolias Lab
https://toliaslab.org/people
Baylor College of Medicine. Xiaolong Jiang, PhD. Saumil Patel, PhD. Jake Reimer, PhD. James Cotton, PhD. Alexander Ecker, PhD. Emmanouil Froudarakis, PhD. Shuang Li, PhD. Fabian Sinz, PhD. Dimitri Yatsenko, PhD. Federico Scala, PhD. Cathryn Hughes (MD/PhD Student). Shan Shen (PhD Student). George Denfield (MD/PhD Student). Edgar Walker (MD/PhD student). Paul Fahey (MD/PhD student). Jiakun Fu (PhD Student). Camila Lopez (Lab Manager). Tori Shinn (Research Coordinator). Zheng Huan Tan (Research Assistant).
Motion tracking | Andreas Tolias Lab
https://toliaslab.org/tag/motion-tracking
Baylor College of Medicine. Posts Tagged ‘Motion tracking’. On July 25, 2013. Read Full Post ». Create a free website or blog at WordPress.com. Create a free website or blog at WordPress.com. Follow “Andreas Tolias Lab”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
Publications | Andreas Tolias Lab
https://toliaslab.org/publications
Baylor College of Medicine. L Theis, P. Berens, E. Froudarakis, J. Reimer, M. Roman-Roson, T. Baden, T. Euler, A. S. Tolias, M. Bethge (2016): Benchmarking spike rate inference in population calcium imaging,. Rossant C, Shabnam KN, Goodman DFM, Schulman J, Hunter MLD, Saleem AB, Grosmark A, Belluscio M, Denfield GH, Ecker AS, Tolias AS, Solomon S, Buzsaki G, Carandini M, Harri KD. Spike sorting for large, dense electrode arrays. Doi: 10.1038/nn.4268. Dec 21. doi: 10.1038/nbt.3445. Yatsenko D, Josić K, Ec...
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xaq lab | computational neuroscience
Skip to primary content. Welcome to the lab of Xaq Pitkow. We aim to understand how the brain works using mathematical principles. We develop theories of neural computation and collaborate. With experimentalists to test these predictions. We can explain many features of neural processing with a few simple ideas. The brain looks for change. The brain is deeply nonlinear. The brain weighs uncertainty. The brain distributes information across many neurons. 8216;s Department of Neuroscience.
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