Author

Milad Yekani

Institute for Research in Fundamental Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Assay:electrophysiology· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Abdol‐Hossein VahabieiD· 2 shared Amirreza BahramaniiD· 1 shared Babak Feyzifard· 1 shared Khashayar EsmaeilzadehiD· 1 shared Mohammad HosseiniiD· 1 shared Mohammad-Mahdi Abolghasemi· 1 shared Seyyed Ahmad EtghaniiD· 1 shared Shahriar Rezghi ShirsavariD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 12 mutual co-author links

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2 shared papersNeuroscience

Abdol‐Hossein VahabieORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Exploring the functionality of market-available tools for neural recording

Khashayar Esmaeilzadeh, Mohammad Hosseini, Seyyed Ahmad Etghani, Abdolhossein Vahabie, Milad Yekani

The paper evaluates a modular neural recording platform built from commercial components, showing it can recover LFP-like waveforms and detect spikes, though with signal quality issues.

bioRxiv · Jun 25, 2026 · PreprintNeuroscience

Controllable Point-Light Displays Implemented in a game engine for biological motion research

Milad Yekani, Shirin Jamshidi, Babak Feyzifard, Abdol‐Hossein Vahabie

The paper introduces a method to create controllable 3D point-light displays using a game engine for biological motion research, showing it replicates known perceptual biases.

bioRxiv · Jan 5, 2026 · PreprintNeuroscience

An affordable solution for investigating zebra finch intracranial electroencephalography (iEEG) signals

Mohammad-Mahdi Abolghasemi, Shahriar Rezghi Shirsavar, Amirreza Bahramani, Milad Yekani

This paper presents an affordable method to record intracranial EEG (iEEG) signals from zebra finches using open-source hardware, showing it can measure anesthesia depth and auditory responses.

PLoS ONE · Oct 3, 2025Peer-reviewedAnimal Behavior & Cognition