Almost all models of response time (RT) use a stochastic accumulation process. To account for the benchmark RT phenomena, researchers have found it necessary to include between-trial variability in the starting point and/or the rate of accumulation, both in linear (R. Ratcliff & J. N. Rouder, 1998) and nonlinear (M. Usher & J. L. McClelland, 2001) models. The authors show that a ballistic (deterministic within-trial) model using a simplified version of M. Usher and J. L. McClelland's (2001) nonlinear accumulation process with between-trial variability in accumulation rate and starting point is capable of accounting for the benchmark behavioral phenomena. The authors successfully fit their model to R. Ratcliff and J. N. Rouder's (1998) data,...
We present a cognitive process model of response choice and response time performance data that has ...
Understanding the cognitive processes involved in multi-alternative, multi-attribute choice is of in...
This paper investigates the usefulness of non-choice data, namely response times, as a predictor of ...
Almost all models of response time (RT) use a stochastic accumulation process. To account for the be...
We propose a linear ballistic accumulator (LBA) model of decision making and reaction time.The LBA i...
Cognitive models of choice and response times can lead to deeper insights into the processes underly...
It is very common in cognitive science and psychology to use experimental tasks that involve making ...
Two similar classes of evidence-accumulation model have dominated theorizing about rapid binary choi...
Brown and Heathcote (2008) proposed the LBA as the sim-plest model of choice and response time data....
In psychology research, mathematical models have developed to explain choices and response times. Mo...
Human factors practitioners use choice response time models to infer human performance modeling, whi...
<p>Following the presentation of a stimulus and some non-decision time , information accumulates bal...
The relative amount of variability in memory strength for targets vs. lures in recognitionmemory is ...
Quantitative models for response time and accuracy are increasingly used as tools to draw conclusion...
A lognormal model for the response times of a person on a set of test items is investigated. The mod...
We present a cognitive process model of response choice and response time performance data that has ...
Understanding the cognitive processes involved in multi-alternative, multi-attribute choice is of in...
This paper investigates the usefulness of non-choice data, namely response times, as a predictor of ...
Almost all models of response time (RT) use a stochastic accumulation process. To account for the be...
We propose a linear ballistic accumulator (LBA) model of decision making and reaction time.The LBA i...
Cognitive models of choice and response times can lead to deeper insights into the processes underly...
It is very common in cognitive science and psychology to use experimental tasks that involve making ...
Two similar classes of evidence-accumulation model have dominated theorizing about rapid binary choi...
Brown and Heathcote (2008) proposed the LBA as the sim-plest model of choice and response time data....
In psychology research, mathematical models have developed to explain choices and response times. Mo...
Human factors practitioners use choice response time models to infer human performance modeling, whi...
<p>Following the presentation of a stimulus and some non-decision time , information accumulates bal...
The relative amount of variability in memory strength for targets vs. lures in recognitionmemory is ...
Quantitative models for response time and accuracy are increasingly used as tools to draw conclusion...
A lognormal model for the response times of a person on a set of test items is investigated. The mod...
We present a cognitive process model of response choice and response time performance data that has ...
Understanding the cognitive processes involved in multi-alternative, multi-attribute choice is of in...
This paper investigates the usefulness of non-choice data, namely response times, as a predictor of ...