Running experiments in parallel | Why run things in parallel? | Running an experiment in parallel

The behaviour of directional models | Denoting directional trials | Expression | Learning | A simple example | A more complex example | Conclusion | References

RW1972 | MAC1975 | PKH1982 | SM2007 | HDI2020/HD2022 | TD | ANCCR | RAND

The mathematics behind TD | 1 - Maintaining stimulus representations | 2 - Generating expectations | 3 - Learning associations | 4 - Generating responses | References

The mathematics behind PKH1982 | 1 - Generating expectations | 2 - Learning associations | 3 - Learning to attend | 4 - Generating responses | References

Fitting HeiDI to empirical data | The data | Writing the model function | Fitting the model | A final note

The design data.frame | The parameters list | Simulating | Plotting | Stimulus associations | Responding | Graphing | Final thoughts

Simulating similarity effects | Reproducing the simulation presented in the paper | Plotting the similarity between saliencies | Plotting the distribution of responding | Some final notes

Time models in calmr | Changes to trial-based models | Specifying a design for time-based models | References

A companion package for calmr | For non-programmers | For programmers | A final message

The mathematics behind ANCCR | 1 - Maintaining stimulus representations | 2 - Learning stimulus associations: | 3 - Releasing Dopamine | 4 - Generating responses | A diagram | Note | References

The mathematics behind RAND

The mathematics behind SOCR | 1 - Learning associations | 2 - Activating stimuli | 3 - Generating responses and comparison processes | 4 - Switching between facilitation and competition | References

The mathematics behind HeiDI | 1 - Acquiring reciprocal associations | 1.1 - The stimulus expectation rule | 1.2 - Learning rule | 2 - Pooling the strength of associations | 2.1 - Combined associative strength | 2.2 - Chained associative strength | 3 - Distributing strength into stimulus-specific response units | 4 - Generating responses

The mathematics behind MAC1975 | 1 - Generating expectations | 2 - Learning associations | 3 - Learning to attend | 4 - Generating responses | References

The mathematics behind RW1972 | 1 - Generating expectations | 2 - Learning associations | 3 - Generating responses | References