Go to the source code of this file.
Classes | |
| class | brian_recv.BrianSimulation |
| Runs a Brian simulation, then creates and publishes dish_states using the generated data. More... | |
| class | brian_recv.Channel |
| Data structure for a multi electrode array channel pad neurons : list of neurons within range of the pad total_weight : combined weights of all the neurons. More... | |
| class | brian_recv.CloseNeuron |
| Data structure representing a neuron that is within range of a channel pad self.data : unique id of the neuron self.weight : how much weight this neuron has in calculating average activity for its channel. More... | |
Namespaces | |
| namespace | brian_recv |
brian_recv is a ROS node that runs a Brian simulation, then creates and publishes dish_states using the generated data. | |
Functions | |
| def | brian_recv.channelizer |
| Channelizer takes data from an 8x8 map and populates a 60-channel list. | |
Variables | |
| tuple | brian_recv.brian = BrianSimulation(connections, channels) |
| tuple | brian_recv.channels = channelizer(pad_neuron_map) |
| tuple | brian_recv.connections = Unpickler(connections_file) |
| tuple | brian_recv.connections_file = open(connections_file_name) |
| tuple | brian_recv.connections_file_name = rospy.get_param('brian_connections_file_path') |
| tuple | brian_recv.pad_neuron_map = Unpickler(pad_neuron_map_file) |
| tuple | brian_recv.pad_neuron_map_file = open(pad_neuron_map_file_name) |
| tuple | brian_recv.pad_neuron_map_file_name = rospy.get_param('brian_pad_neuron_map_file_path') |