FullSimulation ============== This is the folder where the core simulation is built and run. .. toctree:: :maxdepth: 1 :hidden: build_network Files ----- bmtk_modifications.py ^^^^^^^^^^^^^^^^^^^^^ Contains run time modications to BMTK. Just import and run modify_bmtk(). Connections.csv ^^^^^^^^^^^^^^^ Contains information for each synapse in the simulation. Created during the run step. Columns: * Node ID: the integer id of the presynaptic node within its population (exc, prox_inh, dist_inh) * Distance: float representing the distance (um) from the synapse to the soma * Conductance: the weight of the synapse (already scaled by distance) * Type: what part of the cell the synapse is on (soma, dend, apic) * Name: the full string that NEURON associates with the postsynaptic segment. * Source Population: the node population that the presynaptic node is a member of (exc, prox_inh, dist_inh) * Release Probability: release probability for the synapse FunctionalGroups.csv ^^^^^^^^^^^^^^^^^^^^ Contains the functional group id for each excitatory presynaptic node. Created during the build step by SimulationBuilder.save_groups NetParams.json ^^^^^^^^^^^^^^ Contains parameters for the simulation that SimulationBuilder uses. Structure: * "cells": bmtk parameters for building the cell * "dynamic_params": a JSON file of conductances * "model_template": the hoc file used to build the cell * "morphology": the file containging the cell morphol0gy * "model_processing": a function BMTK will use to modify the cell * "segments_file": csv file containing all of the cell's segments * "lengths": total lengths of different types of segments (um) * "basal_dist": basal dendrites more than 50 um from the soma, * "basal_prox": basal dendrites less than 50 um from the soma, * "apic": apical dendrites * "syn_density": number of synapses per um * "exc": excitatory synapses, * "inh": inhibitory synapses * "n_soma_syns": number of (PV+) synapses on the soma, * "divergence": distributions of connections per cell pairing * "exc": uniform with \{"min", "max"\} counts, * "peri_inh": normal with \{"m": mean, "s": standard deviation, "min":floor, "max":cap\}, * "basal_inh": normal with \{"m": mean, "s": standard deviation, "min":floor, "max":cap\}, * "apic_inh": normal with \{"m": mean, "s": standard deviation, "min":floor, "max":cap\}, * "groups": properties of functional groups * "cells_per_group": number of cells per functional group, * "cluster_radius": radius of the sphere that clusters are constrained to, * "group_radius": radius of the sphere that groups are constrained to * "file_current_clamp": name of file to use as current clamp * "record_cellvars": cellvars to record and on what part of the cell * "vars": variable name * "locs": location on cell ("all", "soma", "axon", "apic", "dend") * "inh_frs": inhibitory firing rates * "proximal": PV+, normal with \{"m":mean, "s":standard deviation\}, * "distal": SOM+, normal with \{"m":mean, "s":standard deviation\} * "time": \{"start":when input should start (ms),"stop":simulation run time (ms)\}, * "dL": target length of each segment, * "dt": time (ms) between each simulation step, * "inh_shift": how many ms the average excitation trace is shifted to make the inhibition noise trace L2-3NetParams.csv ^^^^^^^^^^^^^^^^^ Same structure as NetParams.csv above. This is the parameters file for an L2-3 cell used. The cell is from the Allen Cell Database: https://celltypes.brain-map.org/experiment/electrophysiology/477127614. Segments.csv ^^^^^^^^^^^^ Contains information about every segment in the morphology. Each segment is approximately 1 um in length. Columns: * BMTK ID: the ID that bmtk associates with the segments's section * X: standardized (0 to 1) distance along the segment's section * Type: whether the segment is soma, apic, dend (basal), or axon * Sec ID: the ID of the segments's section within the morphology * Distance: length (um) of closest path to soma * Coord X: x coordinate (um) of the segment * Coord Y: y coordinate (um) of the segment * Coord Z: z coordinate (um) of the segment batch_expanse_build.sh/batch_expanse_run.sh ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Batch scripts used to build and run the simulation on Expanse. synapses.py ^^^^^^^^^^^ Contains functionality called in the run step of the simulation. Used to set the parameters for different synapses, including things like weight and release probability. :doc:`build_network.py <build_network>` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Contains the class SimulationBuilder which performs the build step of the simulation. This uses BMTK to create files that are then loaded in for the simulation step. run_network.py ^^^^^^^^^^^^^^ .. automodule:: L5NeuronSimulation.FullSimulation.run_network :members: