Engineering
Power Spectra
100%
Synaptic Input
100%
Filtration
100%
Pyramidal Neuron
66%
Filtering Effect
33%
Mathematical Modeling
33%
Salient Feature
33%
Network Model
33%
Dipole Moment
33%
Pass Band
33%
Neural Population Activity
33%
Keyphrases
Power Spectrum
100%
Local Field Potential
100%
Synaptic Input
27%
Potential Signal
27%
Potential Power
18%
Low-pass Filtering
9%
Experimental Measure
9%
Large-scale Neural Networks
9%
Pyramidal Neurons
9%
Layer 5 Pyramidal Neurons
9%
Mathematical Modeling
9%
Filtering Effect
9%
Stellate Cells
9%
Action Potential
9%
Dipole Moment
9%
Active Synapse
9%
Dipole Approximation
9%
Frequency Dependence
9%
ElectroCorticoGraphic Recordings
9%
Neural Activity
9%
Computer Science
Synaptic Input
100%
Approximation (Algorithm)
66%
Mathematical Modeling
33%
Neural Network Model
33%
Filtering Effect
33%
Neuroscience
Local Field Potential
100%
Action Potential
9%
Synapse
9%
Neural Network
9%