pillowlab.princeton.edu
Pillow Lab: home pagePillow lab homepage
http://pillowlab.princeton.edu/
Pillow lab homepage
http://pillowlab.princeton.edu/
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Pillow Lab: home page | pillowlab.princeton.edu Reviews
https://pillowlab.princeton.edu
Pillow lab homepage
pillowlab.princeton.edu
Pillow Lab: links
http://pillowlab.princeton.edu/links.html
Pillow lab @ princeton. Neural coding and computation group. Ctr for Statistics and Machine Learning. Lab news and meeting schedule. Computational Neuroscience Journal Club. Meets Tuesdays in PNI. Princeton Machine Learning Reading Group. Meets Thursdays in COS.
Pillow Lab: home page
http://pillowlab.princeton.edu/index.html
Pillow lab @ princeton. Neural coding and computation group. Ctr for Statistics and Machine Learning. The Pillow lab is a computational neuroscience and machine learning group at Princeton University. We use mathematical, computational, and statistical methods to study neural systems and behavior. Current research topics include:. Multivariate point process models. Latent variable models for spike train and imaging data. Scalable methods for high-dimensional data. Inference for detailed biophysical models.
Pillow Lab: code
http://pillowlab.princeton.edu/code.html
Pillow lab @ princeton. Neural coding and computation group. Ctr for Statistics and Machine Learning. Model comparison for stepping and ramping spike train models. Relevant pub: Latimer et al, Science. Kalman filter estimation for continuous psychophyics / target tracking [ zip. Relevant pub: Bonnen et al, Journal of Vision. Single-neuron GLM for trial-based data. Relevant pub: IM Park et al, Nat Neurosci. Binary Pursuit spike sorting for detecting synchronous and overlapping spikes.
Pillow Lab: publications
http://pillowlab.princeton.edu/pubs.html
Pillow lab @ princeton. Neural coding and computation group. Ctr for Statistics and Machine Learning. Bak JH, Choi JY, Akrami A, Witten IB, and Pillow JW (2016). Adaptive optimal training of animal behavior. Advances in Neural Information Processing Systems 29. Linderman S, Adams R, and Pillow JW (2016). Bayesian latent structure discovery from multi-neuron recordings. Advances in Neural Information Processing Systems 29. Advances in Neural Information Processing Systems 29. Preprint. [ link. Pillow JW a...
Pillow Lab: teaching
http://pillowlab.princeton.edu/teaching.html
Pillow lab @ princeton. Neural coding and computation group. Ctr for Statistics and Machine Learning. Mathematical tools for neuroscience (NEU 314). Sensation and Perception (PSY 345 / NEU 325). 2014, 2016 (co-organizer). Methods in Computational Neuroscience (MCN). Marine Biological Laboratory (Woods Hole, MA). 2008, 2009, 2010, 2011, 2013, 2014, 2015. Neurotechnologies for Analysis of Neural Dynamics (NAND). Berkeley course in mining and modeling of neuroscience data. Redwood Center (Berkeley, CA).
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News - mackelab@caesar
http://www.mackelab.org/blog/index.html
Deep Learning Summer School. From August 1st to 7th, Jan-Matthis is attending the deep learning summer school. In Montreal, organized by the Canadian Institute For Advanced Research. Today Poornima Ramesh joined our group for an internship, on a DAAD Rise Scholarship. Welcome on board Poornima! Granted us a Titan X GPU for faster training of deep neural networks for analyzing behavioural data. Many thanks to NVIDIA, as well to Jan-Matthis. For helping write the application. And awarded a scholarship.
munich-neuroscience-calendar.de
Munich Neuroscience Calendar - Events List
http://munich-neuroscience-calendar.de/nmc.pl/eventsview
More LMU / other. More LMU / other. Thu, 09.03.2017, 10:00. Graduate School of Neuroscience. Division of Neurobiology Department Biology II Ludwig-Maximilians-Universität München. Dear Faculty Members, Students, Alumni and Guests. It is our pleasure to invite you to attend the public Defense of the PhD Thesis by GSN student Haike Dietrich. Functional characterization and plasticity of extraocular motor responses in Xenopus laevis. First Supervisor: Prof. Dr. Hans Straka. We hope to see many of you there.
News - mackelab@caesar
http://www.mackelab.org/blog
Deep Learning Summer School. From August 1st to 7th, Jan-Matthis is attending the deep learning summer school. In Montreal, organized by the Canadian Institute For Advanced Research. Today Poornima Ramesh joined our group for an internship, on a DAAD Rise Scholarship. Welcome on board Poornima! Granted us a Titan X GPU for faster training of deep neural networks for analyzing behavioural data. Many thanks to NVIDIA, as well to Jan-Matthis. For helping write the application. And awarded a scholarship.
munich-neuroscience-calendar.de
Munich Neuroscience Calendar - Events List
http://munich-neuroscience-calendar.de/nmc.pl/seteventsviewcalendar
More LMU / other. More LMU / other. Thu, 09.03.2017, 10:00. Graduate School of Neuroscience. Division of Neurobiology Department Biology II Ludwig-Maximilians-Universität München. Dear Faculty Members, Students, Alumni and Guests. It is our pleasure to invite you to attend the public Defense of the PhD Thesis by GSN student Haike Dietrich. Functional characterization and plasticity of extraocular motor responses in Xenopus laevis. First Supervisor: Prof. Dr. Hans Straka. We hope to see many of you there.
munich-neuroscience-calendar.de
Munich Neuroscience Calendar - Events List
http://munich-neuroscience-calendar.de/nmc.pl/seteventsviewlist
More LMU / other. More LMU / other. Thu, 09.03.2017, 10:00. Graduate School of Neuroscience. Division of Neurobiology Department Biology II Ludwig-Maximilians-Universität München. Dear Faculty Members, Students, Alumni and Guests. It is our pleasure to invite you to attend the public Defense of the PhD Thesis by GSN student Haike Dietrich. Functional characterization and plasticity of extraocular motor responses in Xenopus laevis. First Supervisor: Prof. Dr. Hans Straka. We hope to see many of you there.
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Pillow Lab: home page
Pillow lab @ princeton. Neural coding and computation group. Center for Statistics and Machine Learning. The Pillow lab is a computational neuroscience and machine learning group at Princeton University. We use mathematical, computational, and statistical methods to study neural systems and behavior. Current research topics include:. Multivariate point process models. Scalable methods for high-dimensional data. Latent variable models for spike train and imaging data. Neural mechanisms for decision making.
Pillow Lab Blog | Neural Coding and Computation Lab @ Princeton University
Neural Coding and Computation Lab @ Princeton University. Skip to primary content. Skip to secondary content. Every Neuron is Special. August 13, 2015. A couple of weeks ago I presented. A category-free neural population supports evolving demands during decision-making. The rats, predictably, were able to do a better job of discriminating high-rate from low-rate pulses when both sensory modalities were present. Furthermore, they showed rather convincingly that PPC was involved almost exclusively in t...
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