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Theoretical Neuroscience Journal Club

We are a cross-departmental student-run group, whose aim is to bring together the Houston computational neuroscience community (BCM/RICE/UH/UTHealth). We meet weekly to discuss papers. Every other week will be focused on our NeuroNex center project to infer graphical models for interactions between neurons and the world. Other weeks we will cover general topics in computational neuroscience, including cellular, systems, cognitive, stats, machine learning topics.

Meeting Time & Place

Friday @ 9:00am-10:00am

BCM S553

Contact

If you’d like to be added to the email list or sign up to present, please contact Zhengwei Wu (zhengwei [dot] wu [at] bcm [dot] edu).

Current Schedule (Fall 2018)
Date Presenter Reading
Aug 31 Krešimir Coherent chaos in a recurrent neural network with structured connectivity. Landau and Sompolinsky bioRxiv (2018)
Past Schedule (Spring 2018)
Date Presenter Reading
Jan 12 Emin Computational principles of synaptic memory consolidation. Benna and Fusi Nature Neurosci. (2016)
Jan 19 Robbe Goris Q&A session
Jan 26 No meeting GCC Theoretical & Computational Neuroscience Annual Conference
Feb 2 Giuseppe Structure in neural population recordings: an expected byproduct of simpler phenomena? Elsayed and Cunningham Nature Neurosci. (2017)
Feb 9 Adrian MDL, Bayesian Inference and the Geometry of the Space of Probability Distributions. Vijay Balasubramanian
Feb 16 No meeting Rush and Helen Record Neuroscience Forum
Feb 23 Tianyi Learning and attention reveal a general relationship betweenpopulation activity and behavior Ni et al. Science (2018)
Mar 2 No meeting COSYNE Meeting
Mar 9 Satyajit Ghosh Postdoc candidate talk
Mar 16 Raj A nonlinear updating algorithm captures suboptimal inference in the presence of signal-dependent noise Egger and Jazayeri bioRxiv (2018)
Mar 23 Zhe Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks Sussillo and Barak Neural Computation (2013)
Mar 30 Alan Linking connectivity, dynamics and computations in recurrent neural networks Mastrogiuseppe and Ostojic arXiv (2017)
Apr 6 Chad Giusti Simplicial models for neural system function.
Apr 13 Dimitri Functional selectivity and specific connectivity of inhibitory neurons in primary visual cortex bioRxiv (2018)
Apr 20 No meeting NeuroNex DataJoint Training Workshop
Apr 27 Yossi New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units Sardi et al. Scientific Reports (2017)
May 4 Saket Q&A Session: Biological solutions to two fundamental computational problems
May 11 Kresimir Spontaneous behaviors drive multidimensional, brain-wide neural activity Stringer et al. bioRxiv (2018)
Past Schedule (Fall 2017)
Date Presenter Reading
Sep 15 Xaq Bayesian Efficient Coding. Park and Pillow bioRxiv (2017)
Sep 22 Kresimir Inferring structural connectivity using Ising couplings in models of neuronal networks. Kadirvelu et al. Scientific Reports (2017)
Sep 29 No meeting
Oct 6 Genevera Introduction to Graphical Models (Ch.9)
Oct 13 Qianli With or without you: predictive coding and Bayesian inference in the brain. Aitchison & Lengyel Curr. Op. in Neurobio. (2017)
Oct 20 Ralf Haefner Perceptual Decision-Making as Probabilistic Inference by Neural Sampling. Haefner et al. Neuron (2016)
Oct 27 NeuroEngineering symposium
Nov 3 Aram The Infinite Hidden Markov Model Beal et al. NIPS (2002)
Nov 3 Kijung Graph Neural Networks: A Survey and Perspectives for the Brain's Inference Algorithm [1][2][3][4]
Nov 10 Adrian Rats optimally accumulate and discount evidence in a dynamic environment. Piet et al. bioRxiv (2017)
Nov 17 Ingmar Q&A Session: A synthetic approach to understand hard navigation in the brain. Kanitscheider & Fiete NIPS (2017)
Nov 24 Thanksgiving
Dec 1 Harel Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity. Costa et al. Neuron (2017)
Dec 8 NIPS
Dec 15 Kaushik A theory of multineuronal dimensionality, dynamics and measurement. Gao et al. bioRxiv (2017)

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