Signatures of criticality arise from random subsampling in simple population models

Subsampling scaling

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The functional diversity of retinal ganglion cells in the mouse

(2016) Tom Baden et al.   NATURE

The mechanics of state-dependent neural correlations

(2016) Brent Doiron et al.   NATURE NEUROSCIENCE

Zipf’s Law Arises Naturally When There Are Underlying, Unobserved Variables

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On simplicity and complexity in the brave new world of large-scale neuroscience

(2015) Peiran Gao et al.   CURRENT OPINION IN NEUROBIOLOGY

Cortical State Determines Global Variability and Correlations in Visual Cortex

(2015) M. L. Scholvinck et al.   JOURNAL OF NEUROSCIENCE

Adaptation to sensory input tunes visual cortex to criticality

(2015) Woodrow L. Shew et al.   Nature Physics

Dynamical Criticality in the Collective Activity of a Population of Retinal Neurons

(2015) Thierry Mora et al.   PHYSICAL REVIEW LETTERS

Thermodynamics and signatures of criticality in a network of neurons

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Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data

(2015) Daniel Soudry et al.   PLoS Computational Biology

On Criticality in High-Dimensional Data

(2014) Saeed Saremi et al.   NEURAL COMPUTATION

Zipf’s Law and Criticality in Multivariate Data without Fine-Tuning

(2014) David J. Schwab et al.   PHYSICAL REVIEW LETTERS

When do microcircuits produce beyond-pairwise correlations?

(2014) Andrea K. Barreiro et al.   Frontiers in Computational Neuroscience

Searching for Collective Behavior in a Large Network of Sensory Neurons

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The effect of nonstationarity on models inferred from neural data

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The simplest maximum entropy model for collective behavior in a neural network

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On sampling and modeling complex systems

(2013) Matteo Marsili et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Statistical Thermodynamics of Natural Images

(2013) Greg J. Stephens et al.   PHYSICAL REVIEW LETTERS

Low error discrimination using a correlated population code

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Population Rate Dynamics and Multineuron Firing Patterns in Sensory Cortex

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Mapping a Complete Neural Population in the Retina

(2012) O. Marre et al.   JOURNAL OF NEUROSCIENCE

Decorrelation and efficient coding by retinal ganglion cells

(2012) Xaq Pitkow et al.   NATURE NEUROSCIENCE

Statistical mechanics for natural flocks of birds

(2012) W. Bialek et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Being Critical of Criticality in the Brain

(2012) John M. Beggs et al.   Frontiers in Physiology

Higher-Order Interactions Characterized in Cortical Activity

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On the criticality of inferred models

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Are Biological Systems Poised at Criticality?

(2011) Thierry Mora et al.   JOURNAL OF STATISTICAL PHYSICS

Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity

(2011) Jakob H. Macke et al.   PHYSICAL REVIEW LETTERS

Heterogeneous Response Dynamics in Retinal Ganglion Cells: The Interplay of Predictive Coding and Adaptation

(2010) Sheila Nirenberg et al.   JOURNAL OF NEUROPHYSIOLOGY

Sparse coding and high-order correlations in fine-scale cortical networks

(2010) Ifije E. Ohiorhenuan et al.   NATURE

Maximum entropy models for antibody diversity

(2010) T. Mora et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations

(2010) Dmitry R. Lyamzin et al.   Frontiers in Computational Neuroscience

Adaptive self-organization in a realistic neural network model

(2009) Christian Meisel et al.   PHYSICAL REVIEW E

Phase Transitions towards Criticality in a Neural System with Adaptive Interactions

(2009) Anna Levina et al.   PHYSICAL REVIEW LETTERS

Spatio-temporal correlations and visual signalling in a complete neuronal population

(2008) Jonathan W. Pillow et al.   NATURE

Origin of correlated activity between parasol retinal ganglion cells

(2008) Philipp Khuc Trong et al.   NATURE NEUROSCIENCE

Imaging in vivo: watching the brain in action

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