Encoding Through Patterns: Regression Tree–Based Neuronal Population Models

Quantifying temporal change in biodiversity: challenges and opportunities

(2012) M. Dornelas et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

The missing mass problem

(2012) Daniel Berend et al.   STATISTICS & PROBABILITY LETTERS

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

Sparse low-order interaction network underlies a highly correlated and learnable neural population code

(2011) E. Ganmor et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?

(2011) Felipe Gerhard et al.   Frontiers in Computational Neuroscience

Population decoding of motor cortical activity using a generalized linear model with hidden states

(2010) Vernon Lawhern et al.   JOURNAL OF NEUROSCIENCE METHODS

Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex

(2010) Michael London et al.   NATURE

Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains

(2010) Jonathan W. Pillow et al.   NEURAL COMPUTATION

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes

(2009) Wilson Truccolo et al.   NATURE NEUROSCIENCE

State-dependent computations: spatiotemporal processing in cortical networks

(2009) Dean V. Buonomano et al.   NATURE REVIEWS NEUROSCIENCE

The Computational Structure of Spike Trains

(2009) Robert Haslinger et al.   NEURAL COMPUTATION

Ruling out and ruling in neural codes

(2009) A. L. Jacobs et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Power-Law Distributions in Empirical Data

(2009) Aaron Clauset et al.   SIAM REVIEW

Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't

(2009) Yasser Roudi et al.   PLoS Computational Biology

A Small World of Neuronal Synchrony

(2008) Shan Yu et al.   CEREBRAL CORTEX

A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro

(2008) A. Tang et al.   JOURNAL OF NEUROSCIENCE

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

(2008) Jonathan W. Pillow et al.   NATURE

Efficient coding in heterogeneous neuronal populations

(2008) M. I. Chelaru et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA