You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["AnatomicalEntity"].

Please return the output as a JSON object of the format: {"AnatomicalEntity": ["tumor cells", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Results
Here we include data obtained from active, oscillatory brain slices as well as from recordings during cortical slow oscillations in anesthetized animals. All recordings included in this study were obtained from the visual cortex of the ferret (in vitro), cat (in vivo) and from barrel cortex of the rat (in vivo). Twenty-nine neurons recorded from ferret cortical slices are included in this study (22 regular spiking (RS); 5 chattering (CH) and 2 intrinsic bursting (IB)), 27 neurons from cat visual cortex in vivo (14 RS; 5 CH; 2 IB; 3 fast spiking (FS); plus 3 non classified) and 14 neurons from rat barrel cortex in vivo (12 RS; 1 CH; 1 IB). Synaptic potentials were evoked by electric shocks (intracortical or thalamocortical connections) or by means of sensory (visual or whisker) stimulation. The main results are: 1) Synaptic potentials show more paired pulsed facilitation and synaptic augmentation in active than in silent cortical networks and 2) Synaptic potentials occurring during up or activated states of the cortex increased their amplitude with respect to those occurring during down states.
{"AnatomicalEntity": ["synaptic", "cortical slices", "intracortical", "cortical networks", "thalamocortical", "whisker", "cortex", "visual cortex", "cortical", "Synaptic", "brain slices", "barrel cortex", "neurons"]}