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analysis_config_01.yaml
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analysis_config_01.yaml
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---
# simple configuration with extraction and analysis
version: 2
simulation_campaign: /gpfs/bbp.cscs.ch/project/proj12/NSE/blueetl/data/sim-campaign-bluepy/11567ba9-57fa-41ec-ac7b-d727ec4e65f3/config.json
output: analysis_output
analysis:
spikes:
extraction:
report:
type: spikes
neuron_classes:
L1_EXC: { layer: [ 1 ], synapse_class: [ EXC ] }
L23_EXC: { layer: [ 2, 3 ], synapse_class: [ EXC ] }
L4_EXC: { layer: [ 4 ], synapse_class: [ EXC ] }
L5_EXC: { layer: [ 5 ], synapse_class: [ EXC ] }
L6_EXC: { layer: [ 6 ], synapse_class: [ EXC ] }
L1_INH: { layer: [ 1 ], synapse_class: [ INH ] }
L23_INH: { layer: [ 2, 3 ], synapse_class: [ INH ] }
L4_INH: { layer: [ 4 ], synapse_class: [ INH ] }
L5_INH: { layer: [ 5 ], synapse_class: [ INH ] }
L6_INH: { layer: [ 6 ], synapse_class: [ INH ] }
limit: null
target: null
windows:
w1: { bounds: [ 20, 90 ], window_type: spontaneous }
w2: { bounds: [ 10, 70 ], initial_offset: 10, n_trials: 3, trial_steps_value: 10 }
features:
- type: multi
groupby: [ simulation_id, circuit_id, neuron_class, window ]
function: blueetl.external.bnac.calculate_features.calculate_features_multi
params: { export_all_neurons: true }