Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
about
Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex.Genetic evidence for role of integration of fast and slow neurotransmission in schizophrenia.Temporal Processing in the Visual Cortex of the Awake and Anesthetized Rat.Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.Neurophysiological dynamics of phrase-structure building during sentence processing.Functional roles of three cues that provide nonsynaptic modes of communication in the brain: electromagnetic field, oxygen, and carbon dioxide.Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model.Deciphering the Contribution of Oriens-Lacunosum/Moleculare (OLM) Cells to Intrinsic θ Rhythms Using Biophysical Local Field Potential (LFP) ModelsBioNet: A Python interface to NEURON for modeling large-scale networks
P2860
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P2860
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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2016年学术文章
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name
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@en
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@nl
type
label
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@en
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@nl
prefLabel
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@en
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@nl
P2860
P50
P356
P1433
P1476
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
@en
P2093
Espen Hagen
Tom Tetzlaff
P2860
P304
P356
10.1093/CERCOR/BHW237
P50
P577
2016-10-20T00:00:00Z
P698
P818
1511.01681