Index

_

__call__() (spikeometric.stimulus.LoadedStimulus method) (spikeometric.stimulus.PoissonStimulus method) (spikeometric.stimulus.RegularStimulus method) (spikeometric.stimulus.SinStimulus method)

A

add_stimulus() (spikeometric.models.BaseModel method)

B

background_input() (spikeometric.models.ThresholdSAM method) BaseModel (class in spikeometric.models)

BaseStimulus (class in spikeometric.stimulus) batch_stimulus_masks() (spikeometric.stimulus.BaseStimulus method) BernoulliGLM (class in spikeometric.models)

C

combine_all() (spikeometric.datasets.ConnectivityDataset method) connectivity_filter() (spikeometric.models.BaseModel method) (spikeometric.models.BernoulliGLM method) (spikeometric.models.PoissonGLM method) (spikeometric.models.RectifiedLNP method)

ConnectivityDataset (class in spikeometric.datasets) current_batch (spikeometric.stimulus.BaseStimulus property)

E

emit_spikes() (spikeometric.models.BaseModel method) (spikeometric.models.BernoulliGLM method) (spikeometric.models.PoissonGLM method) (spikeometric.models.RectifiedLNP method) (spikeometric.models.RectifiedSAM method) (spikeometric.models.ThresholdSAM method)

equilibrate() (spikeometric.models.BaseModel method) (spikeometric.models.SAModel method)

F

forward() (spikeometric.models.BaseModel method)

G

generate_W0() (spikeometric.datasets.MexicanHatGenerator method) (spikeometric.datasets.NormalGenerator method) (spikeometric.datasets.UniformGenerator method)

I

input() (spikeometric.models.BaseModel method) (spikeometric.models.BernoulliGLM method) (spikeometric.models.PoissonGLM method) (spikeometric.models.RectifiedLNP method) (spikeometric.models.RectifiedSAM method) (spikeometric.models.ThresholdSAM method)

L

load() (spikeometric.models.BaseModel method)

LoadedStimulus (class in spikeometric.stimulus)

M

message() (spikeometric.models.BaseModel method) MexicanHatGenerator (class in spikeometric.datasets)

module spikeometric.datasets

N

next_batch() (spikeometric.stimulus.BaseStimulus method) non_linearity() (spikeometric.models.BaseModel method) (spikeometric.models.BernoulliGLM method) (spikeometric.models.PoissonGLM method) (spikeometric.models.RectifiedLNP method) (spikeometric.models.RectifiedSAM method)

NormalGenerator (class in spikeometric.datasets)

P

PoissonGLM (class in spikeometric.models)

PoissonStimulus (class in spikeometric.stimulus) process() (spikeometric.datasets.ConnectivityDataset method)

R

RectifiedLNP (class in spikeometric.models) RectifiedSAM (class in spikeometric.models)

RegularStimulus (class in spikeometric.stimulus) reset() (spikeometric.stimulus.BaseStimulus method)

S

SAModel (class in spikeometric.models) save() (spikeometric.models.BaseModel method) set_batch() (spikeometric.stimulus.BaseStimulus method) set_tunable() (spikeometric.models.BaseModel method) simulate() (spikeometric.models.BaseModel method) (spikeometric.models.SAModel method) SinStimulus (class in spikeometric.stimulus)

spikeometric.datasets module stimulus (spikeometric.stimulus.LoadedStimulus property) stimulus_filter() (spikeometric.models.BaseModel method) stimulus_input() (spikeometric.models.BaseModel method) stimulus_masks (spikeometric.stimulus.BaseStimulus property) synaptic_input() (spikeometric.models.BaseModel method)

T

ThresholdSAM (class in spikeometric.models) to() (spikeometric.models.BaseModel method)

tunable_parameters (spikeometric.models.BaseModel property) tune() (spikeometric.models.BaseModel method) (spikeometric.models.SAModel method)

U

UniformGenerator (class in spikeometric.datasets) update_activation() (spikeometric.models.RectifiedSAM method) (spikeometric.models.SAModel method) (spikeometric.models.ThresholdSAM method)