Rebuilding cerebellar network computations from cellular neurophysiology
about
Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD controlFast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation.Realistic modeling of neurons and networks: towards brain simulation.Interaction of plasticity and circuit organization during the acquisition of cerebellum-dependent motor learning.Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition.The number of granular cells in a cerebellar neuronal network model engaged during robot control increases with the complexity of the motor task.
P2860
Rebuilding cerebellar network computations from cellular neurophysiology
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Rebuilding cerebellar network computations from cellular neurophysiology
@en
type
label
Rebuilding cerebellar network computations from cellular neurophysiology
@en
prefLabel
Rebuilding cerebellar network computations from cellular neurophysiology
@en
P2860
P356
P1476
Rebuilding cerebellar network computations from cellular neurophysiology
@en
P2860
P356
10.3389/FNCEL.2010.00131
P577
2010-11-04T00:00:00Z