neuro.stat.columbia.edu
Computational Statistics and NeuroscienceWe meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY.
http://neuro.stat.columbia.edu/
We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY.
http://neuro.stat.columbia.edu/
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Computational Statistics and Neuroscience | neuro.stat.columbia.edu Reviews
https://neuro.stat.columbia.edu
We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY.
neuro.stat.columbia.edu
Computational Statistics and Neuroscience: February 2015
http://neuro.stat.columbia.edu/2015_02_01_archive.html
Computational Statistics and Neuroscience. We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY. Friday, February 20, 2015. Rajesh Ranganath: February 25th. Title: "Black Box Variational Inference". Friday, February 13, 2015. Josh Merel: Feb 18th. We will discuss the adadelta paper. Http:/ arxiv.org/pdf/1212.5701v1.pdf. But we will probably discuss a more recent result using LSTM layers that uses a slightly different notation.
Computational Statistics and Neuroscience: Patrick Stinson: May 20th
http://neuro.stat.columbia.edu/2015/05/patrick-stinson-may-20th.html
Computational Statistics and Neuroscience. We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY. Sunday, May 17, 2015. Patrick Stinson: May 20th. Note: Only a member of this blog may post a comment. Subscribe to: Post Comments (Atom). Patrick Stinson: May 20th. Josh Merel: May 13th. Mailing list Private drafts. Simple template. Powered by Blogger.
Computational Statistics and Neuroscience: May 2015
http://neuro.stat.columbia.edu/2015_05_01_archive.html
Computational Statistics and Neuroscience. We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY. Sunday, May 17, 2015. Patrick Stinson: May 20th. Josh Merel: May 13th. Josh will give a recap of interesting happenings from the recent International Conference on Learning Representations. Subscribe to: Posts (Atom). Patrick Stinson: May 20th. Josh Merel: May 13th. Mailing list Private drafts. Simple template. Powered by Blogger.
Computational Statistics and Neuroscience: November 2014
http://neuro.stat.columbia.edu/2014_11_01_archive.html
Computational Statistics and Neuroscience. We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY. Thursday, November 27, 2014. Ferran Diego: Dec 3rd. Identifying Neuronal Activity from Calcium Imaging Sequences. Saturday, November 15, 2014. Franck Polleux: Nov 19th. The talk was canceled. Wednesday, November 5, 2014. Ethan S. Bromberg-Martin: Nov 12th. What does information seeking tell us about reinforcement learning?
Computational Statistics and Neuroscience: September 2014
http://neuro.stat.columbia.edu/2014_09_01_archive.html
Computational Statistics and Neuroscience. We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY. Tuesday, September 9, 2014. Roy Fox: September 24th. Optimal Selective Attention and Action in Reactive Agents. Sunday, September 7, 2014. Søren Hauberg: September 10th. Grassmann Averages for Scalable Robust PCA. As the collection of large datasets becomes increasingly. Automated, the occurrence of outliers will increase -. TGA) is par...
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Grossman Center
http://www.grossmancenter.columbia.edu/events-spr2015.html
Selected events in spring 2015. Towards a theory of single trial neural data analysis. Discovering latent structure in neural spike trains with negative binomial generalized linear models. Concentration invariant odor identity coding. Dynamic correlations between visual and decision areas during perceptual decision-making. Machine learning and optimization for robotics. Neural computations in the retina: from photons to behavior. Towards a system-level theory of computation in the visual cortex.
Grossman Center
http://www.grossmancenter.columbia.edu/events-spr2013.html
Selected events in spring/summer 2013. Stability in statistical inference. Evidence of a new (exponentially strong) class of population codes in the brain. Incidental parameter problems arising from the analysis of nonstationary neural point processes. Fast first-order augmented Lagrangian algorithms for sparse optimization problems. Correlations strike back (again): the case of auto-associative memory recall. Minimax image denoising via anisotropic nonlocal means. Jonathan D. Victor. Laquo; Back to the ...
Grossman Center
http://www.grossmancenter.columbia.edu/events-fall2013.html
Selected events in fall 2013. Real-Time Inference for a Gamma Process Model of Neural Spiking. Variational Inference and Big Data. Dealing with monotone likelihood in a model for speckled data. Design and analysis of experiments in networks. Understanding neural computation using insights from connectomics and theory. Low-rank Matrix Regularization: Statistical Models and Large Scale Algorithms. Learning Representations of the Perceptual World. Quantifying structure in large neural datasets.
Grossman Center
http://www.grossmancenter.columbia.edu/events-fall2014.html
Selected events in fall 2014. Characterizing the oscillatory neural dynamics of voluntary motion. Grassmann Averages for Scalable Robust PCA. Quantifying structure in large neural datasets. Optimal Selective Attention and Action in Reactive Agents. Supervised Learning and Support Vectors for Deterministic Spiking Neurons. Data-Driven Mean Field Neural Modeling. Optimal Inference After Model Selection. Topological analysis reveals intrinsic structure in neural correlations.
Grossman Center
http://www.grossmancenter.columbia.edu/events-spr2014.html
Selected events in spring 2014. Nonparametric Bayesian models of graphs. Understanding how motor sequences are represented in the brain: The search for a chronotopic map. Spatio-temporal patterning in motor cortex. Theoretic and Algorithmic Blessings of High Dimension for Compressed Sensing. Estimation of Exponential Random Graph Models for Large Social Networks via Graph Limits. Cortical ensemble dynamics of naturalistic deision-making. Neuron-Resolution Interrogation of Whole-Brain Function in Zebrafish.
Grossman Center
http://www.grossmancenter.columbia.edu/events-fall2012.html
Selected events in fall 2012. The kickoff of the Grossman Center for the Statistics of Mind, with inaugural presentations by. Larry Abbott, Ph.D. Elizabeth Hillman, Ph.D. Liam Paninski, Ph.D. Michael N. Shadlen, MD, Ph.D. Daphna Shohamy, Ph.D. The Italian Academy - Teatro Room. Fitting evolutionary factor models to multivariate EEG data. Washington University, St Louis. From single neuron statistics to neural population analyses. The Salk Institute for Biological Studies. John P. Cunningham.
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neuro.spc.org
Neuropsych Demos and Teaching Resources. Classics in the History of Psychology. Full papers. Including Broca's original dysphasia study and stuff by Lashley. Talaraic Atlas of the Brain. Neuroscience, Psych, Biology, Philosphy etc Full papers relating to cognition. MSc Research Abstracts (Year 1999-2000). Monday talks at the ICN. Talks at the Dept. of Cognitive Neurology. Institute of Movement Neuroscience Seminars. UCL Psychology Seminar Series. Birkbeck Cognitive Sciences Seminar Series.
Computational Statistics and Neuroscience
Computational Statistics and Neuroscience. We meet on Wednesdays at 1pm, in the 10th floor conference room of the Statistics Department, 1255 Amsterdam Ave, New York, NY. Tuesday, September 29, 2015. Mayur Mudigonda: October 15th. Mayur Mudigonda is visiting from the Redwood Center at UC Berkeley. We will meet at 1pm on Thursday, October 15th, in room 502 NWC. Title: Hamiltonian Monte Carlo Without Detailed Balance. We present a method for performing Hamiltonian Monte Carlo that. Friday, August 28, 2015.
Stony Brook Neurosciences Institute | Stony Brook Neurosciences Institute
Message from Our Leadership. Patient and Family Centered Care. Meeting of the Minds. New Patient Forms - Neurosurgery. New Patient Forms - Neurology. Resources and Support Groups. Alzheimer's Disease Assistance Center of Long Island. Center for Affective Neuroscience of Depression and Anxiety. Cerebrovascular and Stroke Center. Comprehensive Psychiatric Emergency Program. Inpatient and Outpatient Psychiatry for Adults. Inpatient and Outpatient Psychiatry for Children and Adolescents. Send Us Your Feedback.
Neurology & Neurosurgery - Temple University Health System
Temple University Health System. Return to Temple Liver Transplant Home. Request an Appointment Online. MDA / ALS Center of Hope. Clinical Trials and Research. Temple Neurosciences Center - Neurology, Neurosurgery and Interventional Radiology. The Neurosciences Center at Temple University Hospital. For patients with neurologic disorders. Use the latest protocols and state-of-the-art equipment, including the Leksell Gamma Knife. 4C and the Elekta Synergy. Or call 1-800-TEMPLE-MED (1-800-836-7536). 5th Flo...
Division of Neuroradiology Thomas Jefferson University Hospital
Thomas Jefferson University Hospital Division of Neuroradiology. Wednesday, April 11, 2018. TJUH Departmental MIRC Teaching File. TJUH Public Neuroradiology Teaching File. The American Society of Spine Radiology is being held at the Fairmont Scottsdale Princess in Scottsdale Arizona from February 14th to the 18th. More about Neuroradiology at TJUH. Content Maintained by the Webmaster.
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