Dietmar Heinke

Dietmar Heinke

University of Birmingham

H-index: 22

Europe-United Kingdom

About Dietmar Heinke

Dietmar Heinke, With an exceptional h-index of 22 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Birmingham, specializes in the field of computational modeling, visual object recognition, visual attention, visual affordances, social cognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations

Continuous action with a neurobiologically inspired computational approach reveals the dynamics of selection history

BEAR PGR Conference 2023-Conference proceedings

Evidence for saliency-based and discrete attentional selection from noisy Eriksen flanker tasks and Bayesian model fitting.

Reveal the Distractions of the Irrelevant Features using a Neurobiologically Plausible Cognitive Robotics Model

Perceptual noise disrupts flanker suppression: Evidence from a novel type of noise in the colour domain and Bayesian modelling

The locus of flanker congruency effects: Insights from Bayesian modelling and a choice reaching flanker task using random dot kinematograms.

Guidance of visual search through canonical materials while controlling for low-level features

Dietmar Heinke Information

University

Position

Senior Lecturer

Citations(all)

2650

Citations(since 2020)

795

Cited By

2205

hIndex(all)

22

hIndex(since 2020)

14

i10Index(all)

43

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Dietmar Heinke Skills & Research Interests

computational modeling

visual object recognition

visual attention

visual affordances

social cognition

Top articles of Dietmar Heinke

Title

Journal

Author(s)

Publication Date

CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations

arXiv preprint arXiv:2404.16482

Chen Wei

Jiachen Zou

Dietmar Heinke

Quanying Liu

2024/4/25

Continuous action with a neurobiologically inspired computational approach reveals the dynamics of selection history

PLoS Computational Biology

Mukesh Makwana

Fan Zhang

Dietmar Heinke

Joo-Hyun Song

2023/7/17

BEAR PGR Conference 2023-Conference proceedings

Aslam Ghumra

Benjamin Jenkins

Jack Sykes

Jacqueline Thompson

Tim Softley

...

2023/7/1

Evidence for saliency-based and discrete attentional selection from noisy Eriksen flanker tasks and Bayesian model fitting.

Jordan Deakin

Dietmar Heinke

2023/12/17

Reveal the Distractions of the Irrelevant Features using a Neurobiologically Plausible Cognitive Robotics Model

Mandar Patil

Dietmar Heinke

Fan Zhang

2023/10/31

Perceptual noise disrupts flanker suppression: Evidence from a novel type of noise in the colour domain and Bayesian modelling

Journal of Vision

Dietmar Heinke

Jordan Deakin

2023/8/1

The locus of flanker congruency effects: Insights from Bayesian modelling and a choice reaching flanker task using random dot kinematograms.

Journal of Vision

Jordan Deakin

Alexander Daskalopoulos

Mukesh Makwana

Joo-Hyun Song

Dietmar Heinke

2023/8/1

Guidance of visual search through canonical materials while controlling for low-level features

Perception

Fan Zhang

Dietmar Heinke

2022/12/1

Deep neural networks and image classification in biological vision

Vision Research

E Charles Leek

Ales Leonardis

Dietmar Heinke

2022/8/1

What do deep neural networks tell us about biological vision?

Vision Research

Dietmar Heinke

Ales Leonardis

E Charles Leek

2022/5/10

Evaluating individual differences in selection history bias for goal-directed reaching movements

Journal of Vision

Mukesh Makwana

Fan Zhang

Dietmar Heinke

Joo-Hyun Song

2022/12/5

Understanding the Influence of Perceptual Noise on Visual Flanker Effects through Bayesian Model Fitting

Jordan Deakin

Dietmar Heinke

2022

Neurobiologically inspired robotics model: Underlying mechanisms for target selection biases from a recent experience of goal-directed action

Journal of Vision

Fan Zhang

Mukesh Makwana

Joo-Hyun Song

Dietmar Heinke

2022/12/5

Examining noise and motion in the Eriksen flanker task: A Bayesian comparison of drift-diffusion models.

Journal of Vision

Jordan Deakin

Dietmar Heinke

2022/12/5

Dissociating mechanism underlying selection history for goal-directed reaching movements using a reach tracking and CoRLEGO modelling approach

Perception

Mukesh Makwana

Fan Zhang

Dietmar Heinke

Joo-Hyun Song

2021/12/1

Canonical Specular and Velvety Material Modes Form a Basic Feature in Visual Search

Journal of Vision

Fan Zhang

Dietmar Heinke

2021/9/27

An Agent-Based Model to Understand a Simple Theory of Mind: Belief Representation Systematic Approach (BRSA)

Zahrieh Yousefi

Dietmar Heinke

Ian Apperly

Peer-Olaf Siebers

2021

A failure to learn object shape geometry: Implications for convolutional neural networks as plausible models of biological vision

Vision Research

Dietmar Heinke

Wachman Peter

Wieske van Zoest

E. Charles Leek

2021

Behavioral Research, Overt Performance

Jordan Deakin

Lily Porat

Wieske van Zoest

Dietmar Heinke

2021

Testing human’s ability to search for materials in a visual scene using canonical material modes

Fan Zhang

Dietmar Heinke

2021/12/1

See List of Professors in Dietmar Heinke University(University of Birmingham)

Co-Authors

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