Elan Barenholtz, Ph.D.

Founder and Co-Principal Investigator (Co-PI)
Associate Professor

# Contact Information

Department of Psychology
Center for Complex Systems and Brain Sciences
Center for the Future Mind
777 Glades Road
Boca Raton, FL 33431-0991
Behavioral Sciences (BS-12)
Room 212
[email protected]

# Education

• Ph.D., Rutgers University, New Brunswick
• M.A., Rutgers University, New Brunswick

# Research Interests

• Deep Learning/Ai
• Foundations of Langauge and Cognition
• Embedded computational neural models

# Research Description

I use behavioral and embedded computational approaches (i.e., neural networks running in robots) to study the brain and behavior with the goal of developing a broad theoretical framework of neural function.

# Publications

Google Scholar

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Projects

• Visuospatial Learning Capabilities of LLMs Lead

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Publications

• World Properties without World Models: Recovering Spatial and Temporal Structure from Co-occurrence Statistics in Static Word Embeddings
  arXiv (2026)
• An Imagination-Procrastination Link? The Role of Efficacy Beliefs, Visual Imagery, and Affect in Academic Procrastination
  Psychological Reports (2025)
• Visual fixations during processing of time-compressed audiovisual presentations
  Attention, Perception, & Psychophysics (2024)
• Toward the validation of crowdsourced experiments for lightness perception
  PloS one (2024)
• Predicting residues involved in anti-DNA autoantibodies with limited neural networks
  Medical & Biological Engineering & Computing (2022)
• Mice recognize 3D objects from recalled 2D pictures, support for picture-object equivalence
  Scientific Reports (2022)
• Commentary on Lin et al.: The importance of valid reference standards in training supervised machine learning classifiers to detect alcohol misuse
  Addiction (2022)
• An artificial intelligence platform for movement analysis and rehabilitation
  Physiotherapy (2022)
• The Role of Bio-Inspired Modularity in General Learning
  International Conference on Artificial General Intelligence (2021)
• The contribution of different contextual informational sources in visual object recognition
  Visual Cognition (2021)
• Screening for early-stage Alzheimer's disease using optimized feature sets and machine learning
  Journal of Alzheimer's Disease (2021)
• Online surveillance of novel psychoactive substances (NPS)
  International Journal of Drug Policy (2021)
• A controlled investigation of behaviorally-cloned deep neural network behaviors in an autonomous steering task
  Robotics and Autonomous Systems (2021)
• Predicting binding from screening assays with transformer network embeddings
  Journal of Chemical Information and Modeling (2020)
• Perception of being observed by a speaker alters gaze behavior
  Attention, Perception, & Psychophysics (2020)
• Machine-learning approaches to substance-abuse research: emerging trends and their implications
  Current Opinion in Psychiatry (2020)
• Introducing NIDA's new national drug early warning system
  Drug and Alcohol Dependence (2020)
• Gender perception from gait: A comparison between biological, biomimetic and non-biomimetic learning paradigms
  Frontiers in Human Neuroscience (2020)
• Convolutional neural networks for predicting molecular binding affinity to HIV-1 proteins
  ACM International Conference on Bioinformatics (2018)
• A systematic comparison of deep learning architectures in an autonomous vehicle
  arXiv preprint (2018)