brian_recv is a ROS node that runs a Brian simulation, then creates and publishes dish_states using the generated data. More...

Classes
class	BrianSimulation
	Runs a Brian simulation, then creates and publishes dish_states using the generated data. More...
class	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	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...
Functions
def	channelizer
	Channelizer takes data from an 8x8 map and populates a 60-channel list.
Variables
tuple	brian = BrianSimulation(connections, channels)
tuple	channels = channelizer(pad_neuron_map)
tuple	connections = Unpickler(connections_file)
tuple	connections_file = open(connections_file_name)
tuple	connections_file_name = rospy.get_param('brian_connections_file_path')
tuple	pad_neuron_map = Unpickler(pad_neuron_map_file)
tuple	pad_neuron_map_file = open(pad_neuron_map_file_name)
tuple	pad_neuron_map_file_name = rospy.get_param('brian_pad_neuron_map_file_path')

Detailed Description

brian_recv is a ROS node that runs a Brian simulation, then creates and publishes dish_states using the generated data.

Running network simulations in Brian can take quite a while. An alternate method is to generate a CSV file using the brian_to_csv.py node and then use the csv_recv node.