SCIoI Alumni

Nina Hanning

Postdoctoral Researcher

Neurocognitive Psychology

HU Berlin

 

Email:

 

Photo: SCIoI

← Alumni Overview

Nina Hanning

Nina Hanning

Photo: SCIoI

Nina Hanning is a neurocognitive psychologist who specializes in visual perception, attention, and memory, with a particular focus on dynamic contexts involving eye and hand movements. After earning her PhD from the Graduate School of Systemic Neurosciences at Ludwig-Maximilians-Universität München, she continued her research as a postdoc at New York University and now at Humboldt-Universität zu Berlin. Nina seeks to bring highly controlled but traditionally rigid experimental designs into a flexible, more natural context. Her methodological expertise, ranging from behavioral psychophysics over high precision eye-, posture- and motion tracking to neuroscientific techniques such as transcranial magnetic stimulation, enables her to collaborate effectively with scientists across disciplines.


Projects

Nina Hanning is member of:


6984777 Hanning 1 apa 50 date desc year 21426 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22AT4GZZCP%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Battaje%20et%20al.%22%2C%22parsedDate%22%3A%222025%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBattaje%2C%20A.%2C%20Hanning%2C%20N.%2C%20Brock%2C%20O.%2C%20%26amp%3B%20Rolfs%2C%20M.%20%282025%29.%20%26lt%3Bi%26gt%3BDepth%20and%20Interaction%20Modulate%20Color%20Aftereffects%20in%20Virtual%20Reality%26lt%3B%5C%2Fi%26gt%3B%20%5BPoster%5D.%20European%20Conference%20on%20Visual%20Perception%20%28ECVP%29.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22Depth%20and%20Interaction%20Modulate%20Color%20Aftereffects%20in%20Virtual%20Reality%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Aravind%22%2C%22lastName%22%3A%22Battaje%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Nina%22%2C%22lastName%22%3A%22Hanning%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Brock%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Rolfs%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222025%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T10%3A44%3A39Z%22%7D%7D%2C%7B%22key%22%3A%22EJFS2A8E%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Battaje%20et%20al.%22%2C%22parsedDate%22%3A%222024-07-12%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBattaje%2C%20A.%2C%20Godinez%2C%20A.%2C%20Hanning%2C%20N.%20M.%2C%20Rolfs%2C%20M.%2C%20%26amp%3B%20Brock%2C%20O.%20%282024%29.%20%26lt%3Bi%26gt%3BAn%20Information%20Processing%20Pattern%20from%20Robotics%20Predicts%20Unknown%20Properties%20of%20the%20Human%20Visual%20System%26lt%3B%5C%2Fi%26gt%3B.%20bioRxiv.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1101%5C%2F2024.06.20.599814%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1101%5C%2F2024.06.20.599814%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22preprint%22%2C%22title%22%3A%22An%20Information%20Processing%20Pattern%20from%20Robotics%20Predicts%20Unknown%20Properties%20of%20the%20Human%20Visual%20System%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aravind%22%2C%22lastName%22%3A%22Battaje%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Angelica%22%2C%22lastName%22%3A%22Godinez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nina%20M.%22%2C%22lastName%22%3A%22Hanning%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Rolfs%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Brock%22%7D%5D%2C%22abstractNote%22%3A%22We%20tested%20the%20hypothesis%20that%20an%20algorithmic%20information%20processing%20pattern%20from%20robotics%2C%20Active%20InterCONnect%20%28AICON%29%2C%20could%20serve%20as%20a%20useful%20representation%20for%20exploring%20human%20vision.%20We%20created%20AICON-based%20computational%20models%20for%20two%20visual%20illusions%3A%20the%20shape-contingent%20color%20aftereffect%20and%20silencing%20by%20motion.%20The%20models%20reproduced%20the%20effects%20seen%20in%20humans%20and%20generated%20surprising%20and%20novel%20predictions%20that%20we%20validated%20through%20human%20psychophysical%20experiments.%20Inconsistencies%20between%20model%20predictions%20and%20experimental%20results%20were%20resolved%20through%20iterative%20model%20adjustments.%20For%20the%20shape-contingent%20color%20aftereffect%2C%20the%20model%20predicted%20and%20experiments%20confirmed%20weaker%20aftereffects%20for%20outline%20shape%20manipulations%20and%20individual%20differences%20in%20perceived%20aftereffects.%20For%20silencing%20by%20motion%2C%20the%20model%20predicted%20and%20experiments%20validated%20unexpected%20trends%20as%20well%20as%20individual%20differences.%20Our%20findings%20demonstrate%20AICON%5Cu2019s%20ability%20to%20capture%20relevant%20aspects%20of%20human%20visual%20information%20processing%20including%20variability%20across%20individuals.%20It%20highlights%20the%20potential%20for%20novel%20collaborations%20between%20synthetic%20and%20biological%20disciplines.%22%2C%22genre%22%3A%22%22%2C%22repository%22%3A%22bioRxiv%22%2C%22archiveID%22%3A%22%22%2C%22date%22%3A%222024-07-12%22%2C%22DOI%22%3A%2210.1101%5C%2F2024.06.20.599814%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.biorxiv.org%5C%2Fcontent%5C%2F10.1101%5C%2F2024.06.20.599814v2%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T12%3A01%3A46Z%22%7D%7D%5D%7D
Battaje, A., Hanning, N., Brock, O., & Rolfs, M. (2025). Depth and Interaction Modulate Color Aftereffects in Virtual Reality [Poster]. European Conference on Visual Perception (ECVP).
Battaje, A., Godinez, A., Hanning, N. M., Rolfs, M., & Brock, O. (2024). An Information Processing Pattern from Robotics Predicts Unknown Properties of the Human Visual System. bioRxiv. https://doi.org/10.1101/2024.06.20.599814

Research

An overview of our scientific work

See our Research Projects