neuralflow
stable
Installation
Package only
Package and examples
Install C extensions from pyx files
Examples
Moving beyond generalization to accurate interpretation of flexible models
Example 1
Example 2
Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
Example 1
Example 2
Example 3
References
Implementation
EnergyModel class
PDESolve class
Utility functions
FC_stationary module
FC_nonstationary module
neuralflow
Docs
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Index
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Index
C
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E
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F
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G
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I
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J
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K
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N
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P
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S
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T
C
calc_F() (EnergyModel method)
calc_peq() (EnergyModel method)
E
EnergyModel (class in neuralflow)
F
FeatureComplexities() (in module neuralflow.utilities.FC_nonstationary)
FeatureComplexity() (EnergyModel method)
(in module neuralflow.utilities.FC_nonstationary)
FeatureComplexity_st() (in module neuralflow.utilities.FC_stationary)
FeatureComplexityFderiv() (EnergyModel method)
FeatureConsistencyAnalysis_st() (in module neuralflow.utilities.FC_stationary)
fit() (EnergyModel method)
G
generate_data() (EnergyModel method)
I
Integrate() (PDESolve method)
J
JS_divergence() (in module neuralflow.utilities.FC_nonstationary)
JS_divergence_tdp() (in module neuralflow.utilities.FC_nonstationary)
K
KL_divergence_st() (in module neuralflow.utilities.FC_stationary)
N
neuralflow.utilities.FC_nonstationary (module)
neuralflow.utilities.FC_stationary (module)
P
PDESolve (class in neuralflow)
S
SaveResults() (EnergyModel method)
score() (EnergyModel method)
set_BoundCond() (PDESolve method)
solve_EV() (PDESolve method)
T
transform_spikes_to_isi() (EnergyModel method)