Podcast
Questions and Answers
Multi-layer perceptron. There is a specific operation that a multi-layer perceptron cannot perform. Which?
Multi-layer perceptron. There is a specific operation that a multi-layer perceptron cannot perform. Which?
Grid Coding. Select the wrong statement. Entorhinal cortex grid cells
Grid Coding. Select the wrong statement. Entorhinal cortex grid cells
Tolman.
Tolman.
Encoding models. The space in which encoding models cannot be formulated:
Encoding models. The space in which encoding models cannot be formulated:
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Biological Realism. Find the wrong answer. The basic perceptron model fails to mimic biological neurons in:
Biological Realism. Find the wrong answer. The basic perceptron model fails to mimic biological neurons in:
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Grid fit procedure. Find the wrong answer. Caveats of grid fitting:
Grid fit procedure. Find the wrong answer. Caveats of grid fitting:
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Gradient Descent. Find the wrong answer.
Gradient Descent. Find the wrong answer.
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Reinforcement learning. The learning rate in a Rescorla-Wagner model:
Reinforcement learning. The learning rate in a Rescorla-Wagner model:
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Temporal Difference Learning TD solves this problem of the Rescorla-Wagner model:
Temporal Difference Learning TD solves this problem of the Rescorla-Wagner model:
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Signal detection theory. Imagine a simple signal-in-noise SDT experiment. In the first half, I reward hits but
not correct rejections, and in the second half of the experiment, I reward correct rejections but not hits. What
will the impact on my participants’ behavior be?
Signal detection theory. Imagine a simple signal-in-noise SDT experiment. In the first half, I reward hits but not correct rejections, and in the second half of the experiment, I reward correct rejections but not hits. What will the impact on my participants’ behavior be?
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Study Notes
Multi-Layer Perceptron
- A multi-layer perceptron cannot perform a specific operation, which is not specified.
Grid Coding
- Entorhinal cortex grid cells are involved in Tolman's encoding models.
Encoding Models
- There is a space in which encoding models cannot be formulated, which is not biological realism.
Perceptron Model
- The basic perceptron model fails to mimic biological neurons in terms of their ability to handle non-linearly separable patterns.
Grid Fit Procedure
- One of the caveats of grid fitting is that it can be overly reliant on the grid's parameters.
Gradient Descent
- One of the incorrect statements about gradient descent is not specified.
Reinforcement Learning
- In a Rescorla-Wagner model, the learning rate determines how quickly the model learns from rewards and punishments.
Temporal Difference Learning (TD)
- TD solves the problem of the Rescorla-Wagner model, which is that it only learns from the immediate consequences of an action.
Signal Detection Theory (SDT)
- If, in a simple signal-in-noise SDT experiment, hits are rewarded but not correct rejections in the first half, and correct rejections are rewarded but not hits in the second half, the participants' behavior will change to prioritize the newly rewarded behavior in each half.
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Description
Discover the specific operation that a multi-layer perceptron cannot perform, despite its capabilities in various tasks. Test your knowledge on the limitations of this type of neural network.
