dbbs-lab / bsb-json Goto Github PK
View Code? Open in Web Editor NEWJSON configuration parser and tooling for the BSB
License: GNU General Public License v3.0
bsb-json's People
Contributors
Watchers
bsb-json's Issues
Autogenerate and package a JSON schema
JSON schemas allow validation and autocompletion by tools, it would drastically increase usability and user friendliness of our JSON files. @alessiomarta this could be my next hackathon project? ;) @claudiacasellato?
Multiple `$import` statements in JSON seems broken
{
"storage": {
"engine": "hdf5"
},
"network": {
"x": 50.0,
"y": 50.0,
"z": 50.0,
"chunk_size": 50
},
"partitions": {
"any": {
"type": "layer",
"thickness": 50
}
},
"cell_types": {
"excitatory": {
"spatial": {
"radius": 1,
"count": 2000
}
},
"inhibitory": {
"spatial": {
"radius": 1,
"count": 500
}
}
},
"placement": {
"place_cells": {
"strategy": "bsb.placement.RandomPlacement",
"cell_types": [
"excitatory",
"inhibitory"
],
"partitions": [
"any"
]
}
},
"connectivity": {
"excitatory_to_excitatory": {
"strategy": "bsb.connectivity.FixedIndegree",
"indegree": 200,
"presynaptic": {
"cell_types": [
"excitatory"
]
},
"postsynaptic": {
"cell_types": [
"excitatory"
]
}
},
"excitatory_to_inhibitory": {
"strategy": "bsb.connectivity.FixedIndegree",
"indegree": 200,
"presynaptic": {
"cell_types": [
"excitatory"
]
},
"postsynaptic": {
"cell_types": [
"inhibitory"
]
}
},
"inhibitory_to_inhibitory": {
"strategy": "bsb.connectivity.FixedIndegree",
"indegree": 50,
"presynaptic": {
"cell_types": [
"inhibitory"
]
},
"postsynaptic": {
"cell_types": [
"inhibitory"
]
}
},
"inhibitory_to_excitatory": {
"strategy": "bsb.connectivity.FixedIndegree",
"indegree": 50,
"presynaptic": {
"cell_types": [
"inhibitory"
]
},
"postsynaptic": {
"cell_types": [
"excitatory"
]
}
}
},
"simulations": {
"test_nest": {
"simulator": "nest",
"duration": 1000,
"resolution": 0.1,
"cell_models": {
"excitatory": {
"constants": {
"C_m": 250,
"tau_m": 20,
"tau_syn_ex": 0.5,
"tau_syn_in": 0.5,
"t_ref": 2.0,
"E_L": 0.0,
"V_reset": 0.0,
"V_m": 0.0,
"V_th": 20
}
},
"inhibitory": {
"constants": {
"C_m": 250,
"tau_m": 20,
"tau_syn_ex": 0.5,
"tau_syn_in": 0.5,
"t_ref": 2.0,
"E_L": 0.0,
"V_reset": 0.0,
"V_m": 0.0,
"V_th": 20
}
}
},
"connection_models": {
"excitatory_to_excitatory": {
"synapse": {
"weight": 20.68015524367846,
"delay": 1.5
}
},
"excitatory_to_inhibitory": {
"synapse": {
"weight": 20.68015524367846,
"delay": 1.5
}
},
"inhibitory_to_excitatory": {
"synapse": {
"weight": -103.4007762183923,
"delay": 1.5
}
},
"inhibitory_to_inhibitory": {
"synapse": {
"weight": -103.4007762183923,
"delay": 1.5
}
}
},
"devices": {
"pg": {
"device": "poisson_generator",
"rate": 17789.007714721884,
"targetting": {
"strategy": "all"
},
"$import": {
"ref": "#../../connection_models/excitatory_to_excitatory/synapse",
"values": [
"weight",
"delay"
]
}
},
"sr_exc": {
"device": "spike_recorder",
"delay": 1,
"targetting": {
"strategy": "cell_model",
"cell_models": [
"excitatory"
],
"count": 50
}
},
"sr_inh": {
"device": "spike_recorder",
"delay": 1,
"targetting": {
"strategy": "cell_model",
"cell_models": [
"inhibitory"
],
"count": 50
}
}
}
},
"test_arbor": {
"simulator": "arbor",
"duration": 1000,
"resolution": 0.1,
"cell_models": {
"excitatory": {
"model_strategy": "lif",
"constants": {
"C_m": 250,
"tau_m": 20,
"t_ref": 2.0,
"E_L": 0.0,
"V_reset": 0.0,
"V_m": 0.0,
"V_th": 20
}
},
"inhibitory": {
"model_strategy": "lif",
"constants": {
"C_m": 250,
"tau_m": 20,
"t_ref": 2.0,
"E_L": 0.0,
"V_reset": 0.0,
"V_m": 0.0,
"V_th": 20
}
}
},
"connection_models": {
"excitatory_to_excitatory": {
"weight": 20.68015524367846,
"delay": 1.5
},
"excitatory_to_inhibitory": {
"weight": 20.68015524367846,
"delay": 1.5
},
"inhibitory_to_excitatory": {
"weight": -103.4007762183923,
"delay": 1.5
},
"inhibitory_to_inhibitory": {
"weight": -103.4007762183923,
"delay": 1.5
}
},
"devices": {
"pg": {
"device": "poisson_generator",
"rate": 17789.007714721884,
"targetting": {
"strategy": "all"
},
"$import": {
"ref": "#../../connection_models/excitatory_to_inhibitory/synapse",
"values": [
"weight",
"delay"
]
}
}
}
}
}
}
raises
bsb.exceptions.RequirementError: Missing required attribute 'weight' in {root}.simulations.test_nest.devices.pg
if the 2nd $import is removed, the test_nest devices work again.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.