Amanote Research

Amanote Research

    RegisterSign In

Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

Neuron - United States
doi 10.1016/j.neuron.2018.11.034
Full Text
Open PDF
Abstract

Available in full text

Categories
Neuroscience
Date

January 1, 2019

Authors
Chengcheng HuangDouglas A. RuffRyan PyleRobert RosenbaumMarlene R. CohenBrent Doiron
Publisher

Elsevier BV


Related search

Low-Dimensional Models for Missing Data Imputation in Road Networks

2013English

Equilibration in Low-Dimensional Quantum Matrix Models

Journal of High Energy Physics
High Energy PhysicsNuclear
2015English

Low Complexity Equivalent Circuit Models for VLSI Interconnects

2006English

Scale-Dependent Variability and Quantitative Regimes in Graph-Theoretic Representations of Human Cortical Networks

Brain Connectivity
Neuroscience
2016English

Analysis of Buffer Arrangements in Low and High Dimensional Networks

Journal of Engineering Research
Engineering
2010English

Prefrontal Cortical and Limbic Circuit Alterations in Psychopathology

American Journal of Psychiatry
PsychiatryMental Health
2019English

Optimal Power Dispatch in Networks of High-Dimensional Models of Synchronous Machines

2016English

Low-Force Mechanical Perturbations Altered Calcium Dynamics in Networks of GCaMP6s Expressing Cortical Neurons

Biophysical Journal
Biophysics
2017English

Variability-Conscious Circuit Designs for Low-Voltage Memory-Rich Nano-Scale CMOS LSIs

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy