Cargando…

Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models

Recent studies have applied dimensionality reduction methods to understand how the multi-dimensional structure of neural population activity gives rise to brain function. It is unclear, however, how the results obtained from dimensionality reduction generalize to recordings with larger numbers of ne...

Descripción completa

Detalles Bibliográficos
Autores principales:	Williamson, Ryan C., Cowley, Benjamin R., Litwin-Kumar, Ashok, Doiron, Brent, Kohn, Adam, Smith, Matthew A., Yu, Byron M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5142778/ https://www.ncbi.nlm.nih.gov/pubmed/27926936 http://dx.doi.org/10.1371/journal.pcbi.1005141

Ejemplares similares

Balanced neural architecture and the idling brain
por: Doiron, Brent, et al.
Publicado: (2014)

Automated customization of large-scale spiking network models to neuronal population activity
por: Wu, Shenghao, et al.
Publicado: (2023)

Population activity structure of excitatory and inhibitory neurons
por: Bittner, Sean R., et al.
Publicado: (2017)

Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses
por: Ocker, Gabriel Koch, et al.
Publicado: (2015)

Balanced Synaptic Input Shapes the Correlation between Neural Spike Trains
por: Litwin-Kumar, Ashok, et al.
Publicado: (2011)

The Spatial Structure of Stimuli Shapes the Timescale of Correlations in Population Spiking Activity
por: Litwin-Kumar, Ashok, et al.
Publicado: (2012)

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex
por: Cowley, Benjamin R., et al.
Publicado: (2016)

The spatial structure of correlated neuronal variability
por: Rosenbaum, Robert, et al.
Publicado: (2016)

The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction
por: Williamson, Ross S., et al.
Publicado: (2015)

Gamma Oscillations of Spiking Neural Populations Enhance Signal Discrimination
por: Masuda, Naoki, et al.
Publicado: (2007)

Neural encoding of large-scale three-dimensional space—properties and constraints
por: Jeffery, Kate J., et al.
Publicado: (2015)

Adaptive dimensionality reduction for neural network-based online principal component analysis
por: Migenda, Nico, et al.
Publicado: (2021)

Neural correlates of sparse coding and dimensionality reduction
por: Beyeler, Michael, et al.
Publicado: (2019)

Supervised breast cancer prediction using integrated dimensionality reduction convolutional neural network
por: Xu, HuanQing, et al.
Publicado: (2023)

Dimensionality reduction methods for extracting functional networks from large-scale CRISPR screens
por: Zernab Hassan, Arshia, et al.
Publicado: (2023)

Dimensionality reduction methods for extracting functional networks from large‐scale CRISPR screens
por: Hassan, Arshia Zernab, et al.
Publicado: (2023)

Uncertainty and Dimensional Calibrations
por: Doiron, Ted, et al.
Publicado: (1997)

Dimensional Reduction for the Inverse Problem of Neural Field Theory
por: Potthast, Roland, et al.
Publicado: (2009)

Internally generated population activity in cortical networks hinders information transmission
por: Huang, Chengcheng, et al.
Publicado: (2022)

Tensor networks for dimensionality reduction and large-scale optimization: part 2 applications and future perspectives
por: Cichocki, Andrzej, et al.
Publicado: (2017)

Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction
por: Hong, Chang Woo, et al.
Publicado: (2020)

Non-linear dimensionality reduction of signaling networks
por: Ivakhno, Sergii, et al.
Publicado: (2007)

20 °C—A Short History of the Standard Reference Temperature for Industrial Dimensional Measurements
por: Doiron, Ted
Publicado: (2007)

Scaling properties of food flow networks
por: Konar, Megan, et al.
Publicado: (2018)

Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks
por: Kim, Ik-Jyae, et al.
Publicado: (2023)

The minimal N=4 no-scale model from generalized dimensional reduction
por: Villadoro, Giovanni, et al.
Publicado: (2004)

Puzzle Imaging: Using Large-Scale Dimensionality Reduction Algorithms for Localization
por: Glaser, Joshua I., et al.
Publicado: (2015)

NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data
por: Xiong, Jiankang, et al.
Publicado: (2020)

Correction: The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction
Publicado: (2019)

Extensive deep neural networks for transferring small scale learning to large scale systems
por: Mills, Kyle, et al.
Publicado: (2019)

On the finite size scaling in neural networks
por: Korutcheva, E R, et al.
Publicado: (1999)

Energy scaling and reduction in controlling complex networks
por: Chen, Yu-Zhong, et al.
Publicado: (2016)

Numerical Simulation and Deep Neural Network Revealed Drag Reduction of Microstructured Three-Dimensional Square Cylinders at High Reynolds Numbers
por: Wang, Siying, et al.
Publicado: (2022)

Monitoring the Extent of Reclamation of Small Scale Mining Areas Using Artificial Neural Networks
por: Abaidoo, Christian Aboagye, et al.
Publicado: (2019)

High-dimensional dynamics of generalization error in neural networks
por: Advani, Madhu S., et al.
Publicado: (2020)

Robust high-dimensional memory-augmented neural networks
por: Karunaratne, Geethan, et al.
Publicado: (2021)

Chip-Based High-Dimensional Optical Neural Network
por: Wang, Xinyu, et al.
Publicado: (2022)

Feature Extraction for Dimensionality Reduction in Cellular Networks Performance Analysis
por: de-la-Bandera, Isabel, et al.
Publicado: (2020)

On the Reduction of Computational Complexity of Deep Convolutional Neural Networks †
por: Maji, Partha, et al.
Publicado: (2018)

Distributed Neural Processing Predictors of Multi-dimensional Properties of Affect
por: Bush, Keith A., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_goo4e7ciil6fevli9756l2r4b0