ProbabilisticReasoning-v0
- class neurogym.envs.probabilisticreasoning.ProbabilisticReasoning(dt=100, rewards=None, timing=None, shape_weight=None, n_loc=4)[source]
Probabilistic reasoning.
The agent is shown a sequence of stimuli. Each stimulus is associated with a certain log-likelihood of the correct response being one choice versus the other. The final log-likelihood of the target response being, for example, option 1, is the sum of all log-likelihood associated with the presented stimuli. A delay period separates each stimulus, so the agent is encouraged to lean the log-likelihood association and integrate these values over time within a trial.
- Parameters:
shape_weight – array-like, evidence weight of each shape
n_loc – int, number of location of show shapes
- Reference paper
- Tags
- Supervised learning and analysis of this task
- Reinforcement learning and analysis of this task
- Sample run
