Is the brain macroscopically linear? A system identification of resting state dynamics
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, MA Bertolero, J Stiso, L Caciagli… - bioRxiv, 2020 - biorxiv.org
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, MA Bertolero, J Stiso, L Caciagli… - arXiv e …, 2020 - ui.adsabs.harvard.edu
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
[PDF][PDF] Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, J Stiso, L Caciagli, EJ Cornblath, X He… - scholar.archive.org
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, MA Bertolero, J Stiso, L Caciagli… - 2020 - europepmc.org
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, MA Bertolero, J Stiso, L Caciagli… - (No Title), 2020 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> A central challenge in the computational
modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of …
modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of …
[PDF][PDF] Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, J Stiso, L Caciagli, EJ Cornblath, X He… - researchgate.net
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
Is the brain macroscopically linear? A system identification of resting state dynamics
E Nozari, J Stiso, L Caciagli, EJ Cornblath, X He… - bioRxiv, 2020 - biorxiv.org
A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …