Welcome to the AIND IsoForce project documentation!¶

aind-iso-force¶

A repository for the IsoForce task.

📋 General instructions¶

This repository follows the project structure laid out in the Aind.Behavior.Services repository.

🔧 Prerequisites¶

Pre-requisites for running the project can be found here.

🚀 Deployment¶

For convenience, once third-party dependencies are installed, Bonsai and python virtual environments can be bootstrapped by running:

./scripts/deploy.ps1

from the root of the repository.

⚙️ Generating settings files¶

The IsoForce task is instantiated by a set of three settings files that strictly follow a DSL schema. These files are:

task_logic.json
rig.json
session.json

Examples on how to generate these files can be found in the ./Examples directory of the repository. Once generated, these are the the only required inputs to run the Bonsai workflow in ./src/main.bonsai.

The workflow can thus be executed using the Bonsai CLI:

"./bonsai/bonsai.exe" "./src/main.bonsai" -p SessionPath=<path-to-session.json> -p RigPath=<path-to-rig.json> -p TaskLogicPath=<path-to-task_logic.json>

However, for a better experiment management user experience, it is recommended to use the provided experiment launcher below.

[> ] CLI tools¶

The platform exposes a few CLI tools to facilitate various tasks. Tools are available via:

uv run iso-force <subcommand>

for a list of all sub commands available:

uv run iso-force -h

You may need to install optional dependencies depending on the sub-commands you run.

🎮 Experiment launcher (CLABE)¶

To manage experiments and input files, this repository contains a launcher script that can be used to run the IsoForce task. This script is located at ./src/aind_behavior_iso_force/launcher.py. It can be run from the command line as follows:

uv run iso-force clabe

Additional arguments can be passed to the script as needed:

uv run iso-force clabe -h

or via a ./local/clabe.yml file. (An example can be found in ./Examples/clabe.yml)

Additional custom launcher scripts can be created and used as needed.

🔍 Primary data quality-control¶

Once an experiment is collected, the primary data quality-control script can be run to check the data for issues. This script can be launcher using:

uv run iso-force data-qc <path-to-data-dir>

🔄 Regenerating schemas¶

DSL schemas can be modified in ./src/aind_behavior_iso_force/rig.py (or (...)/task_logic.py`).

Once modified, changes to the DSL must be propagated to json-schema and csharp API. This can be done by running:

uv run iso-force regenerate

🕹️Task logic¶

---
config:
  theme: mc
  look: classic
---
classDiagram
    class QuiescencePeriod {
        +duration
        +threshold
    }
    class ResponsePeriod {
        +duration
        +attempt_threshold
        +time_threshold
    }
    class RewardPeriod {
        +duration
        +passive/active
    }
    class ITI {
        +duration
    }
    QuiescencePeriod --> ResponsePeriod : if force < threshold for duration
    ResponsePeriod --> ResponsePeriod : if force < attempt_threshold
    ResponsePeriod --> ITI : if force > attempt_threshold for < time_threshold
    ResponsePeriod --> RewardPeriod : if force > attempt_threshold for ≥ time_threshold
    RewardPeriod --> ITI : if lick then Reward
    ITI --> QuiescencePeriod : if wait > duration

Contents: