Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction-Reference-Cited by-同舟云学术

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Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction

Published:2019-04 Issue: Volume:55 Page:40-47
ISSN:0959-4388
Container-title:Current Opinion in Neurobiology
language:en
Short-container-title:Current Opinion in Neurobiology

Author:

Williamson Ryan C.,Doiron Brent,Smith Matthew A.,Yu Byron M.

Funder

Richard King Mellon Foundation

NIH

Hillman Foundation

NSF

ONR

Simons Foundation

Eye and Ear Foundation of Pittsburgh

Publisher

Elsevier BV

Subject

General Neuroscience

Reference91 articles.

1. How advances in neural recording affect data analysis;Stevenson;Nature Neuroscience,2011

2. Simulation of networks of spiking neurons: a review of tools and strategies;Brette;Journal of Computational Neuroscience,2007

3. Using goal-driven deep learning models to understand sensory cortex;Yamins;Nature Neuroscience,2016

4. Recurrent neural networks as versatile tools of neuroscience research;Barak;Current Opinion in Neurobiology,2017

5. Anatomy and function of an excitatory network in the visual cortex;Lee;Nature,2016

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