A. Van Heijden - Academia.edu (original) (raw)

Papers by A. Van Heijden

Research paper thumbnail of Marr versus Marr: On the notion of levels

Behavioral and Brain Sciences, 1994

Research paper thumbnail of Response dependency and processing dependency of line orientation and position in a single-item task

Psychological Research, 1995

... have shown that correct identity responses go together with correct position responses and th... more ... have shown that correct identity responses go together with correct position responses and that incorrect identity responses go to-gether with incorrect position responses (see, eg, Baron, 1973; Mtiller & Rabbitt, 1989; Nissen, 1985; Van der Heijden, Wolters, Fleur, & Hommels ...

Research paper thumbnail of The effects of advance location cueing on latencies in a single-letter recognition task

Psychological Research, 1988

This study investigates facilitating effects of foreknowledge of position in single-letter recogn... more This study investigates facilitating effects of foreknowledge of position in single-letter recognition tasks with latency as the dependent variable. Three kinds of cue are used: symbolic cues, location cues and neutral cues. For the effects of symbolic and location cues the following predictions are derived from the literature: increasing benefits with increasing SOAs for symbolic cues and constant benefits with

Research paper thumbnail of Response competition and condition competition invisual selective attention

Research paper thumbnail of A connectionist model for visual selective attention

International Joint Conference on Neural Networks, 1989

ABSTRACT

Research paper thumbnail of Single-letter recognition accuracy benefits from advance cuing of location

Perception & Psychophysics, 1987

Research paper thumbnail of SLAM: A connectionist model for attention in visual selection tasks

Cognitive Psychology, 1990

SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of wh... more SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of which shows that two processes, object and attribute selection, are both necessary and sufficient. It is based upon the McClelland and Rumelhart (1981) model for visual word recognition, with the addition of a response selection and evaluation mechanism. The responses may be correct or incorrect and, in particular conditions, SLAM may not make a response at all. Moreover, it allows for the generation of specific responses in time. SLAM's main characteristics are parallelism restricted by competition within modules, heterarchical processing in a hierarchical structure, and generation of responses as a result of relaxation given the conjoint constraints of stimulation, object, and attribute selection. The model is considered to represent an individual subject performing filtering tasks and demonstrates appropriate selective behavior. It is also tested quantitatively using a single tentative set of model parameters. The study reports simulations of four different filtering experiments, modeling response latencies, and error proportions. Specifications are made to take account of instructions, previous trials, and the effect of a barmarker cue and of asynchronies in stimulus and cue onsets. The model is then extended in order to provide simulations of a number of Stroop experiments, which can be regarded as filtering tasks with nonequivalent stimuli. The extension required for Stroop simulations is the addition of direct connections between compatible stimulus and response aspects. The direct connections do not affect the simulation of simpler filtering tasks. A variety of different experiments carried out by different authors is simulated. The model is discussed in terms of how modular architecture and the interaction of excitation and inhibition generate facilitation or inhibition of response latenties.

Research paper thumbnail of SLAM: A connectionist model for attention in visual selection tasks

Cognitive Psychology, 1990

SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of wh... more SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of which shows that two processes, object and attribute selection, are both necessary and sufficient. It is based upon the model for visual word recognition, with the addition of a response selection and evaluation mechanism. The responses may be correct or incorrect and, in particular conditions, SLAM may not make a response at all. Moreover, it allows for the generation of specific responses in time. SLAM's main characteristics are parallelism restricted by competition within modules, heterarchical processing in a hierarchical structure, and generation of responses as a result of relaxation given the conjoint constraints of stimulation, object, and attribute selection. The model is considered to represent an individual subject performing filtering tasks and demonstrates appropriate selective behavior. It is also tested quantitatively using a single tentative set of model parameters. The study reports simulations of four different filtering experiments, modeling response latencies, and error proportions. Specifications are made to take account of instructions, previous trials, and the effect of a barmarker cue and of asynchronies in stimulus and cue onsets. The model is then extended in order to provide simulations of a number of Stroop experiments, which can be regarded as filtering tasks with nonequivalent stimuli. The extension required for Stroop simulations is the addition of direct connections between compatible stimulus and response aspects. The direct connections do not affect the simulation of simpler filtering tasks. A variety of different experiments carried out by different authors is simulated. The model is discussed in terms of how modular architecture and the interaction of excitation and inhibition generate facilitation or inhibition of response latenties. 0 IWO Academic Press, Inc

Research paper thumbnail of Marr versus Marr: On the notion of levels

Behavioral and Brain Sciences, 1994

Research paper thumbnail of Response dependency and processing dependency of line orientation and position in a single-item task

Psychological Research, 1995

... have shown that correct identity responses go together with correct position responses and th... more ... have shown that correct identity responses go together with correct position responses and that incorrect identity responses go to-gether with incorrect position responses (see, eg, Baron, 1973; Mtiller & Rabbitt, 1989; Nissen, 1985; Van der Heijden, Wolters, Fleur, & Hommels ...

Research paper thumbnail of The effects of advance location cueing on latencies in a single-letter recognition task

Psychological Research, 1988

This study investigates facilitating effects of foreknowledge of position in single-letter recogn... more This study investigates facilitating effects of foreknowledge of position in single-letter recognition tasks with latency as the dependent variable. Three kinds of cue are used: symbolic cues, location cues and neutral cues. For the effects of symbolic and location cues the following predictions are derived from the literature: increasing benefits with increasing SOAs for symbolic cues and constant benefits with

Research paper thumbnail of Response competition and condition competition invisual selective attention

Research paper thumbnail of A connectionist model for visual selective attention

International Joint Conference on Neural Networks, 1989

ABSTRACT

Research paper thumbnail of Single-letter recognition accuracy benefits from advance cuing of location

Perception & Psychophysics, 1987

Research paper thumbnail of SLAM: A connectionist model for attention in visual selection tasks

Cognitive Psychology, 1990

SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of wh... more SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of which shows that two processes, object and attribute selection, are both necessary and sufficient. It is based upon the McClelland and Rumelhart (1981) model for visual word recognition, with the addition of a response selection and evaluation mechanism. The responses may be correct or incorrect and, in particular conditions, SLAM may not make a response at all. Moreover, it allows for the generation of specific responses in time. SLAM's main characteristics are parallelism restricted by competition within modules, heterarchical processing in a hierarchical structure, and generation of responses as a result of relaxation given the conjoint constraints of stimulation, object, and attribute selection. The model is considered to represent an individual subject performing filtering tasks and demonstrates appropriate selective behavior. It is also tested quantitatively using a single tentative set of model parameters. The study reports simulations of four different filtering experiments, modeling response latencies, and error proportions. Specifications are made to take account of instructions, previous trials, and the effect of a barmarker cue and of asynchronies in stimulus and cue onsets. The model is then extended in order to provide simulations of a number of Stroop experiments, which can be regarded as filtering tasks with nonequivalent stimuli. The extension required for Stroop simulations is the addition of direct connections between compatible stimulus and response aspects. The direct connections do not affect the simulation of simpler filtering tasks. A variety of different experiments carried out by different authors is simulated. The model is discussed in terms of how modular architecture and the interaction of excitation and inhibition generate facilitation or inhibition of response latenties.

Research paper thumbnail of SLAM: A connectionist model for attention in visual selection tasks

Cognitive Psychology, 1990

SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of wh... more SLAM, the SeLective Attention Model, performs visual selective attention tasks, an analysis of which shows that two processes, object and attribute selection, are both necessary and sufficient. It is based upon the model for visual word recognition, with the addition of a response selection and evaluation mechanism. The responses may be correct or incorrect and, in particular conditions, SLAM may not make a response at all. Moreover, it allows for the generation of specific responses in time. SLAM's main characteristics are parallelism restricted by competition within modules, heterarchical processing in a hierarchical structure, and generation of responses as a result of relaxation given the conjoint constraints of stimulation, object, and attribute selection. The model is considered to represent an individual subject performing filtering tasks and demonstrates appropriate selective behavior. It is also tested quantitatively using a single tentative set of model parameters. The study reports simulations of four different filtering experiments, modeling response latencies, and error proportions. Specifications are made to take account of instructions, previous trials, and the effect of a barmarker cue and of asynchronies in stimulus and cue onsets. The model is then extended in order to provide simulations of a number of Stroop experiments, which can be regarded as filtering tasks with nonequivalent stimuli. The extension required for Stroop simulations is the addition of direct connections between compatible stimulus and response aspects. The direct connections do not affect the simulation of simpler filtering tasks. A variety of different experiments carried out by different authors is simulated. The model is discussed in terms of how modular architecture and the interaction of excitation and inhibition generate facilitation or inhibition of response latenties. 0 IWO Academic Press, Inc