Perturbing low dimensional activity manifolds in spiking neuronal networks

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Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks

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Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

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Structure in neural population recordings: an expected byproduct of simpler phenomena?

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Neural Manifolds for the Control of Movement

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Julia: A Fresh Approach to Numerical Computing

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Supervised learning in spiking neural networks with FORCE training

(2017) Wilten Nicola et al.   Nature Communications

Building functional networks of spiking model neurons

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Efficient codes and balanced networks

(2016) Sophie Denève et al.   NATURE NEUROSCIENCE

Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex

(2016) John D. Murray et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models

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

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Constructing Precisely Computing Networks with Biophysical Spiking Neurons

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Neural constraints on learning

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Dimensionality reduction for large-scale neural recordings

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The log-dynamic brain: how skewed distributions affect network operations

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Predictive Coding of Dynamical Variables in Balanced Spiking Networks

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Compressed Sensing, Sparsity, and Dimensionality in Neuronal Information Processing and Data Analysis

(2012) Surya Ganguli et al.   Annual Review of Neuroscience

Neural population dynamics during reaching

(2012) Mark M. Churchland et al.   NATURE

A Large-Scale Model of the Functioning Brain

(2012) C. Eliasmith et al.   SCIENCE

The subcellular organization of neocortical excitatory connections

(2009) Leopoldo Petreanu et al.   NATURE

Generating Coherent Patterns of Activity from Chaotic Neural Networks

(2009) David Sussillo et al.   NEURON

Solving the Problem of Negative Synaptic Weights in Cortical Models

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One-Dimensional Dynamics of Attention and Decision Making in LIP

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