Meeting Time

Tuesdays at 2:00-3:00pm, in PNI 230


If you’d like to be added to the email list, visit our google group, or contact Adam (adamsc [at] princeton).

Current Schedule (Fall 2017)

Date Presenter Reading
Sep 26 Mike Morais Lawful relation between perceptual bias and discriminability
Wei & Stocker (2017)
Oct 3 Alex Hyafil Attention stabilizes the shared gain of V4 populations
Rabinowitz et al. (2015)
Oct 10 TBD TBD
--- (20XX)
Oct 17 Adam Charles Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity
Koyluoglu, et al. eLife (2017)
Oct 24 TBD TBD
--- (20XX)
Oct 31 TBD TBD
--- (20XX)


Past Meetings (Summer 2017)

Date Presenter Reading
Jun 22 Scott Linderman Using computational theory to constrain statistical models of neural data
Linderman & Gershman (2017)


Past Meetings (Spring 2017)

Date Presenter Reading
Jan 17 Stephen Keeley The hippocampus as a predictive map
Stachenfeld, Botvinick, and Gershman (2016)
Jan 24 Sam Lewallen Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
Kanitscheider and Fiete (2016)
Jan 31 Adam Charles Predictive Ensemble Decoding of Acoustical Features Explains Context-Dependent Receptive Fields
Yildiz, Mesgarani and Deneve J. Neuroscience (2016)
Feb 07 Mikio/Jonathan/Adam Demixed principal component analysis of neural population data Kobak et al. eLife (2016).
Feb 14 Anne Mennen Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories Barron et al. Neuron (2016).
Feb 21 Nick Roy Building Machines That Learn and Think Like People Lake et al. (2016).
Mar 3 Mikio Aoi Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1 Seeley at al. PLOS Comp. Bio. (2016).
Mar 28 Jonathan Pillow A probabilistic approach to demixing odors Grabska-Barwinska et al. Nature Neuro. (2017).
Apr 04 Alex Piet Memory replay in balanced recurrent networks Chenkov, Sprekeler & Kempter PLOS Comp. Bio. (2017).
Apr 11 Brian DePasquale Building functional networks of spiking model neurons Abbott at al. Nature Neuro. (2016).
Apr 18 Adrianna Loback STDP installs in winner-take-all circuits an online approximation to hidden markov model learning Kappel, Nessler & Maass PLOS Comp. Bio. (2014).
Apr 25 Diksha Gupta Dynamic control of response criterion in premotor cortex during perceptual detection under temporal uncertainty Carnevale et al. Neuron (2015).
May 02 Nick Roy Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex Murray et al. PNAS (2017).
May 09 Alex Libby Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches Shew et al. J. Neuroscience (2011).


Past Meetings (Fall 2016)

Date Presenter Reading
Oct 4 Nicholas Roy Adaptive optimal training of animal behavior
Bak et al. NIPS (2016)
Oct 11 Adam Calhoun Reading out olfactory receptors: Feedforward circuits detect odors in mixtures without demixing
Mathis, Rokni, Kapoor, Bethge, and Murthy Neuron (2016)
Oct 18 Adam Charles Visual Nonclassical Receptive Field Effects Emerge from Sparse Coding in a Dynamical System
Zhu and Rozell PLOS Computational Biology (2013)
Oct 25 Brian DePasquale Hybrid computing using a neural network with dynamic external memory
Graves et al. Nature (2016)
Nov 1 Mingbo Cai Automatic Construction and Natural-Language Description of Nonparametric Regression Models
Lloyd et al.
Nov 29 Hamza Giaffar Primacy Model of Olfactory Coding
Dec 6 David Zoltowski Reorganization between preparatory and movement population responses in motor cortex
Elsayed, Lara, Kaufman, Churchland and Cunningham Nature Communications (2016)
Dec 13 Mikio Aoi What must a global theory of cortex explain?
Valiant Current Opinion in Neurobiology (2014)


Past Meetings (Summer 2016)

Date Presenter Reading
Jun 14 Athena Akrami & Adam Charles
Could a neuroscientist understand a microprocessor?
Jonas & Koerding. biorxiv (2016)
Jun 23 Ben Machta Perspective: Sloppiness and Emergent Theories in Physics, Biology, and Beyond
Transtrum, Machta, Brown, Daniels, Myers, and Sethna. J. Chem. Phys. (2015)
Jun 30 Ahmed Hl Hady Cell Types, Network Homeostasis, and Pathological Compensation from a Biologically Plausible Ion Channel Expression Model
O’Leary, Williams, Franci, and Marder. Neuron (2014)
Jul 7 Leenoy Meshulam Sloppiness in Spontaneously Active Neuronal Networks
Panas1, Amin, Maccione, Muthmann1, van Rossum, Berdondini, and Hennig. J. Neurosci. (2015)
Jul 21 Adam Charles Assessing the distinguishability of models and the informativeness of data Navarro et al. Cognitive Psychology (2004)
Aug 23 Ido Kanter Low-firing rates, cortical oscillations and neuronal ?s precision stem from neuronal plasticity: Experiment and theory
Sep 13 Yonatan Aljadeff Optimal population coding by mixed-dimensionality neurons


Past Meetings (Fall-Spring 2015-16)

Date Presenter Reading
Nov 24 Jonathan Pillow
Inferring learning rules from distributions of firing rates in cortical neurons
Lim, McKee, Woloszyn, Amit, Freedman, Sheinberg, & Brunel.
Nature Neuroscience (2015). [summary]
Dec 1 Adam Calhoun Global Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans.
Kato, Kaplan, Schrödel, Skora, Lindsay, Yemini, Lockery, & Zimmer.
Cell (2015)
Dec 8 Mark Ioffe
readers: Alex Piet & DJ Strouse
A thesaurus for a neural population code.
Ganmor, Segev, & Schneidman. eLife (2015).
Dec 15 DJ Strouse
readers: Mark Ioffe & Mingbo Cai
A Bayesian observer model constrained by efficient coding can explain 'anti-Bayesian' percepts.
Wei & Stocker, Nat Neurosci (2015).
Jan 19 Mikio Aoi
readers: Adam Calhoun & Jonathan Pillow.
Cortical activity in the null space: permitting preparation without movement. Kaufman, Churchland, Ryu, & Shenoy, Nat Neurosci 2014.
Jan 29
Sina Tafazoli
readers: Adam Charles & Mikio Aoi
A neural network that finds a naturalistic solution for the production of muscle activity. Sussillo, Churchland, Kaufman, & Shenoy, Nat Neurosci 2015
Feb 2 Mingbo Cai
readers: Becket Ebitz & Nick Roy
Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions. Zhang, Daw, Maloney, Nat Neurosci 2015.
Feb 9 Angela Langdon
readers: Jane Keung, Diksha Gupta, Tyler Boyd-Meredith
A neural mechanism for sensing and reproducing a time interval. Jazayeri & Shadlen, Current Biology 2015.
Feb 16 cancelled
Feb 23 Nick Roy
reader: Lea Duncker
The nature of shared cortical variability. Lin, Okun, Carandini, & Harris, Neuron 2015.
Mar 1 ( cosyne workshops)
Mar 8 Diksha Gupta
reader: Tyler Boyd-Meredith
The Inevitability of Probability: Probabilistic Inference in Generic Neural Networks Trained with Non-Probabilistic Feedback A. Emin Orhan & Wei Ji Ma. arxiv 2016.
Mar 15 ( spring break )
Mar 22 cancelled
Mar 29 Sam Lewallen
reader: Ahmed El Hady
Random Wiring, Ganglion Cell Mosaics, and the Functional Architecture of the Visual Cortex. Schottdorf, Wolfgang Keil, Coppola, White, & Wolf. PloS Comp Bio 2015.
Apr 5 Adam Charles Neuronal Circuits Underlying Persistent Representations Despite Time Varying Activity. Druckmann & Chklovskii, Current Biol (2012). [blog summary]
Apr 12 Anqi Wu
readers: Mikio & Nick
Sensory uncertainty decoded from visual cortex predicts behavior. Bergen, Ma, Pratte, & Jehee, Nat Neurosci (2015).
Apr 19 David Deutsch
readers: Diksha & Jonathan
Active sensing in the categorization of visual patterns. Yang, Lengyel, & Wolpert. eLIFE 2016.
Apr 26 Lea Duncker
readers: Adam Charles, Matt Panichello
Robust neuronal dynamics in premotor cortex during motor planning.
Li, Daie, Svoboda, & Druckmann. Nature (2016).
May 3 Alex Piet
readers: Angela Langdon & Sam Lewallen
Robust timing and motor patterns by taming chaos in recurrent neural networks.
Rodrigo Laje & Dean V Buonomano, Nature Neurosci (2013).
May 10 Tyler Boyd-Meredith
readers: Angela L and Alex P
Orbitofrontal Cortex Is Required for Optimal Waiting Based on Decision Confidence.
Lak, Costa, Romberg, Koulakov, Mainen, & Kepecs, Neuron (2014).


Past Meetings (Summer 2015)

Date Presenter Reading
Topic #1: Information theory and the brain (Adam Calhoun)
June 9 Jonathan Pillow

June 16 Adam Calhoun
June 23 Chris Baldassano
June 30 Ida Momennejad
Topic #2: Neural Codes in Noisy Cortical Circuits (Alex Piet & Ahmed El Hady)
July 14 Leenoy Meshulam
July 21 Alex Piet
July 28 Sam Lewallen
Aug 4 Athena Akrami
Aug 11 Ahmed El Hady
Aug 18 Sam Lewallen


Past Meetings (Spring 2015)

Date Presenter and readers Reading
Mar 18 Jonathan Pillow
readers: Jason P. & Jamal W.
Partitioning Neuronal Variability.
Goris, Movshon & Simoncelli Nature Neurosci (2014).

Apr 01 Michael Berry
readers: Angela L. & Sam L.
Predictive coding of dynamical variables in balanced spiking networks.
Boerlin, Machens & Deneve, PLoS Comp Biol (2013).
Apr 08 DJ Strouse
readers: Jonathan P. & Adam C.
Predictive information in a sensory population.
Palmer, Marre, Berry, & Bialek. arXiv:1307.0225
Apr 15 Mikio Aoi
readers: Alex P. & Ashley L.
Neural constraints on learning. Sadtler, Quick, Golub, Chase, Ru, Tyler-Kabara, Yu & Batista. Nature (2014).
Apr 22 Adrianna Loback
readers: Jonathan P. & DJ S.
A Simple Model of Optimal Population Coding for Sensory Systems. Doi & Lewicki, PLOS Comp. Biol. (2014)
Apr 29 Chris Baldassano
readers: Jamal W. & Ida M.
Human-level control through deep reinforcement learning. Mnih et al, Nature (2015).
May 06 Sam Lewallen
reader: Stephanie Chan
Performance-optimized hierarchical models predict neural responses in higher visual cortex", Yamins, Hong, Cadieu, Solomon, Seibert, & DiCarlo, PNAS (2014).
May 13 Jane Keung
readers: Alex Piet & Mikio Aoi
Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information. Pagan, Urban, Wohl, & Rust, Nature Neurosci (2013).