model_parameters

In calmr: Canonical Associative Learning Models and their Representations

library(calmr)

RW1972

model_parameters("RW1972")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Learning rate for presented stimulus| |betas_on, betas_off|$\beta_{on},\beta_{off}$|Intensity of presented and absent target| |lambdas|$\lambda$|Maximum learning supported by target|

MAC1975

model_parameters("MAC1975")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Starting associability (learning rate) for presented stimulus| |min_alphas, max_alphas|$\alpha_{min}, \alpha_{max}$|Minimum and maximum associability for stimulus| |betas_on, betas_off|$\beta_{on},\beta_{off}$|Intensity of presented and absent target| |lambdas|$\lambda$|Maximum learning supported by target| |thetas|$\theta$|Attentional learning rate parameter for stimulus| |gammas|$\gamma$|Attentional learning weight for stimulus|

PKH1982

model_parameters("PKH1982")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Learning rate for presented stimulus| |min_alphas, max_alphas|$\alpha_{min}, \alpha_{max}$|Minimum and maximum associability for stimulus| |betas_in, betas_ex|$\beta_{in},\beta_{ex}$|Learning rates for inhibitory and excitatory associations| |lambdas|$\lambda$|Maximum learning supported by target| |thetas|$\theta$|Decay/strengthening associability rate parameter for stimulus| |gammas|$\gamma$|Attentional learning weight for stimulus|

SM2007

model_parameters("SM2007")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Learning rate for presented stimulus| |lambdas|$\lambda$|Maximum learning supported by target| |omegas|$\omega$|Weakening rate for presented stimulus| |rhos|$\rho$|Salience contribution for unconditioned activation of target| |gammas|$\gamma$|Contribution of stimulus to comparison process| |taus|$\tau$|Learning rate for operator switch| |order|$order$|Order for the comparison process|

HDI2020/HD2022

model_parameters("HDI2020")
model_parameters("HD2022")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Learning rate for presented stimulus|

TD

model_parameters("TD")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Learning rate for presented stimulus| |betas_on, betas_off|$\beta_{on},\beta_{off}$|Intensity of presented and absent target| |lambdas|$\lambda$|Maximum learning supported by target| |gamma|$\gamma$|Temporal discount parameter| |sigma|$\sigma$|Rate of decay for eligibility traces|

ANCCR

model_parameters("ANCCR")

| Name | Symbol | Description | |:----|:----:|:---| |reward_magnitude|$CW_{j,j}$|Reward magnitude for target| |betas|$\beta$|Unconditional value for target| |cost|$cost$|Response cost| |temperature|$temperature$|Temperature for softmax function| |threshold|$\theta$|Threshold to become meaningful causal target/putative cause| |k,alpha,alpha_reward|$k,\alpha,\alpha_{reward}$|Learning rates for predecessor representation, predecessor representation contingency, and causal weights. |w|$w$|Weight for net contingency computation| |minimum_rate|$minimum_rate$|Lower bound on perceivable event rates| |sampling_interval|$sampling_interval$|Time interval to update base rate calculations| |use_exact_mean|$use_exact_mean$|Whether to use exact mean calculations for $\alpha$| |t_ratio|$t_ratio$|Ratio to calculate time constant| |use_timed_alpha|$use_timed_alpha$|Whether to use exponential decay for $\alpha$| |alpha_exponent, alpha_init, alpha_min|$alpha_exponent,alpha_init, alpha_min$|Parameters for exponential decay of $\alpha$| |add_beta|$add_beta$|Whether to add $\beta$ to dopaminergic activity| |jitter|$jitter$|Magnitude of perceptual noise for simultaneous events|

RAND

model_parameters("RAND")

| Name | Symbol | Description | |:----|:----:|:---| |alphas|$\alpha$|Placeholder; no meaning.|

calmr documentation built on June 8, 2025, 1:03 p.m.