Zoran Tiganj
Neuroscience · Indiana University
Publications
77
Citations
1,205
Est. group size
—
Recurring co-author estimate
Active years
18
Publishing since 2009
Zoran Tiganj studies how the brain represents time and space, using both experimental neuroscience (for example, how neurons in the rat hippocampus encode location and elapsed time) and computational models. Recent work also examines large language models (LLMs) and other artificial neural networks, comparing how they process memory, temporal information, and decisions to how humans and biological brains do.
Publication activity has grown notably in the most recent years, rising from a handful per year mid-decade to over ten in 2025 and 2026.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~4 · 30% small-team papers (≤3 authors) · across 24 venues
- Boundary Vector Cells Encode a Future-Biased Spectrum of Positions in the Rat
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Who Do LLMs Trust? Human Experts Matter More Than Other LLMs
arXiv (Cornell University) · 2026
- Who Do LLMs Trust? Human Experts Matter More Than Other LLMs
arXiv (Cornell University) · 2026
- rTCT : Rodent Triangle Completion Task to Facilitate Reverse Translational Study of Path Integration
Hippocampus · 2026
- Different Paths to Harmful Compliance: Behavioral Side Effects and Mechanistic Divergence Across LLM Jailbreaks
arXiv (Cornell University) · 2026
- Different Paths to Harmful Compliance: Behavioral Side Effects and Mechanistic Divergence Across LLM Jailbreaks
arXiv (Cornell University) · 2026
- Boundary Vector Cells Encode a Future‐Biased Spectrum of Positions in the Rat
Hippocampus · 2026
- Intrinsic Persistent Firing in CA1 Encodes Elapsed Time Across Behaviorally Relevant Scales
Hippocampus · 2026
- Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models
2026
- Temporal Dependencies in In-Context Learning: The Role of Induction Heads
arXiv (Cornell University) · 2026
- Temporal Dependencies in In-Context Learning: The Role of Induction Heads
arXiv (Cornell University) · 2026
- High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination
arXiv (Cornell University) · 2026
- High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination
arXiv (Cornell University) · 2026
- Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models
Underline Science Inc. · 2026
- Path integration impairments reveal early cognitive changes in subjective cognitive decline
Science Advances · 2025
- arXiv (Cornell University)×13
- bioRxiv (Cold Spring Harbor Laboratory)×8
- Hippocampus×5
- Proceedings of the National Academy of Sciences×2
- eScholarship (California Digital Library)×2
- Ellen K.W. Brennan
Neuroscience · University of Michigan
- Huzi Cheng
Neuroscience · Indiana University
- Jamie D Costabile
Neuroscience · The Ohio State University
- Alexander B. Johnson
Neuroscience · University of Michigan
- Omar J. Ahmed
Neuroscience · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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