def look_at(self, stimuli, number_of_trials=1):
layer_regions = {}
for region in self.recorded_regions:
layers = self.region_layer_map[region]
layers = make_list(layers)
for layer in layers:
assert layer not in layer_regions, f"layer {layer} has already been assigned for {layer_regions[layer]}"
layer_regions[layer] = region
activations = self.run_activations(stimuli, layers=list(layer_regions.keys()), number_of_trials=number_of_trials)
activations['region'] = 'neuroid', [layer_regions[layer] for layer in activations['layer'].values]
return activations
def __init__(self, identifier, activations_model, layer):
"""
:param identifier: a string to identify the model
:param activations_model: the model from which to retrieve representations for stimuli
:param layer: the single behavioral readout layer or a list of layers to read out of.
"""
self.identifier = identifier
self.activations_model = activations_model
self.readout = make_list(layer)
self.classifier = ProbabilitiesMapping.ProbabilitiesClassifier()
self.current_task = None