SpikeOMaticLibrary

Spike-O-Matic Library Reference Manual

File List

class.h

cmdline.c

cmdline.h

cmdline_sauve.c

cmdline_sauve.h

instantiate.h

soml.h

soml_data_generator.c

soml_data_source.c

soml_energy_from_neuron.c

soml_exchange_pair.c

soml_extract_isis.c

soml_mcmc_amplitude.c

soml_mcmc_configuration.c

soml_mcmc_lognormal.c

soml_mcmc_step.c

soml_multi_data_generator.c

soml_neuron_source.c

soml_output_analysis.c

soml_poisson_pdf.c

soml_private.h

soml_set_initial_state.c

soml_set_initial_state_from_file.c

soml_state_source.c

soml_tables.c

soml_transition_para.c

Data Structures

soml_data_features

soml_model_features

soml_neuron

soml_single_spike

soml_spike_train

soml_state

soml_tab_exp

Data Fields

Modules

Data and Model representation

Neuron

The soml_neuron structure

Neuron allocation

Accessing neuron elements

Reading and writing neurons

Data

Data related structures

Data related structures allocation

Accessing elements of data related structures

Reading and writing data related structures

State

soml_state related structures

State allocation

Accessing state elements

Writing and reading states and model features

Data simulation

The log-normal distribution

MCMC/Dynamic Monte Carlo

Tabulated log and exp

Structures for tabulated log and exp

Functions for tabulated log and exp

Log-normal parameters generation with the Gibbs sampler

Amplitude parameters generation with the Metropolis algorithm

Output analysis

Initialization of the Markov chain

Replica Exchange Method

Globals

Related Pages

Introduction

References