Feature Inference Parameters for Contextual Learning Models

Aggregating parameters for models investigating contextual inference in decision-making, related to interactions between prefrontal cortex and hippocampus. The data is stored in an XLS file with a size of 5.5 KB. It was authored by Jessica Passlack and is licensed under CC BY 4.0.

Use Cases

• Calibrate feature-based inference models using parameters related to environmental features to simulate hippocampal function.
• Validate outcome-based learning strategies using behavioral outcome parameters to model prefrontal cortex contributions.
• Analyze joint model parameters that combine feature and outcome strategies to reproduce behavioral and cellular-level phenomena.
• Benchmark contextual representation learning by applying the provided parameters to differentiate ambiguous contexts.

Strengths

• Data is openly licensed under CC BY 4.0, facilitating reuse and sharing.
• Parameters are directly tied to a published computational neuroscience study on contextual inference.
• The dataset is compact at 5.5 KB, ensuring easy download and handling.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope and likely a small number of parameters or model configurations.
• No sample data or column descriptions are available, making the exact structure and variables opaque.
• The data is static and not updated, representing a specific model snapshot from the associated research.

Provenance

Source

Jessica Passlack via figshare.

Collection Method

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Time Range

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Freshness

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