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Spiking Neural Architecture Benchmark Suite
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- a -
assemble_global_dict() :
generate_tex
av_pooling_image() :
mnist_helper
- c -
check_json_for_parameters() :
SNAB
cm2inch() :
1dim_plot
,
2dim_plot
,
plot_membrane_pot
compare_labels() :
mnist_helper
conns_from_mat() :
mnist_helper
conv_spikes_per_kernel() :
mnist_helper
conv_weights_to_conn() :
mnist_helper
create_batches() :
mnist_helper
create_spike_source() :
mnist_helper
- d -
dense_weights_to_conn() :
mnist_helper
- e -
extract_backend() :
SNAB
- g -
gather_array_names() :
generate_tex
gather_benchmark_measures() :
generate_tex
get_available_simulators() :
generate_bench_json
get_key_arrays() :
generate_bench_json
,
generate_tex
get_key_arrays_from_config() :
generate_tex
get_label() :
dim_labels
get_max() :
1dim_plot
,
plot_membrane_pot
get_min() :
1dim_plot
,
plot_membrane_pot
- h -
histogram_plot() :
histogram
- i -
image_to_rate() :
mnist_helper
- j -
json_2Darray_to_vector() :
SNAB
json_3Darray_to_vector() :
SNAB
json_array_to_array() :
SNAB
json_array_to_vector() :
SNAB
json_to_map() :
SNAB
- l -
loadMnistData() :
mnist_helper
- m -
max_weight() :
mnist_helper
max_weight_abs() :
mnist_helper
min_weight() :
mnist_helper
mnist_to_spike() :
mnist_helper
- n -
NaN() :
SNAB
normalize() :
1dim_plot
- p -
plot_measure() :
1dim_plot
plot_measure2d() :
2dim_plot
plot_membrane() :
plot_membrane_pot
plot_tabular() :
show_csv
pool_to_conn() :
mnist_helper
prettyfy() :
autoformat_json
print_image() :
mnist_helper
print_tabular() :
show_csv
- r -
raster_plot() :
spike_plot
read_check() :
SNAB
read_config() :
SNAB
read_data_to_spike() :
mnist_helper
read_network() :
mnist_helper
replace_arrays_by_value() :
SNAB
result_json_to_global_dict() :
generate_tex
round_to_divisable() :
2dim_plot
- s -
scale_mnist() :
mnist_helper
snab_registry() :
SNAB
spikes_to_labels() :
mnist_helper
spikes_to_rates() :
mnist_helper
- t -
to_json() :
autoformat_json
- u -
update_conns_from_mat() :
mnist_helper
update_spike_source() :
mnist_helper
- w -
write_array_params() :
generate_tex
write_results() :
generate_tex
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