Radoslaw Martin Cichy
Neural Dynamics of Visual Cognition Group
Department of Education and Psychology
Freie Universität Berlin
I am investigating human visual cognition. At the core of my interest is the question of object recognition: how the brain distills out of the stream of photons hitting the retina a percept of the world consisting of meaningful objects?
I take a broad theoretical approach to address this question. Object recognition shows complex interactions with other core cognitive function of such as attention and language. I thus investigate the neural basis of these interactions. I further wonder how object perception comes about in development, and how plastic its underlying machinery is in individuals with blindness.
To gain a new perspective on the brain I strive for methodological and analytical innovation. In particular, I use a combination of methods (fMRI, M/EEG, deep neural networks, behavioral assessment), and analyze data in an integrated framework using machine learning techniques and multivariate analysis methods.
In this endeavor I have the pleasure to collaborate with a great set of scientist towards this goal in my lab.
Kaiser D, Haeberle G, Cichy RM (2020) Coherent natural scene structure facilitates the extraction of task-relevant object information in visual cortex. bioRxiv; doi: 10.1101/2020.12.01.406959.
bioRxiv
Dwivedi K, Bonner MF, Cichy RM, Roig G (2020) Unveiling functions of the visual cortex using task-specific deep neural networks. bioRxiv; doi: 10.1101/2020.11.27.401380.
bioRxiv
project_page
Cichy RM, Roig G, Andonian A, Dwivedi K, Lahner B, Lascelles A, Mohsenzadeh Y, Ramakrishnan K, Oliva A (2019) The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. arXiv: 1905.05675.
arXiv
Bayet L, Zinszer D, Reilly E, Cataldo JK, Pruitt Z, Cichy RM, Nelson III CA, Aslin RN (2020) Temporal dynamics of visual representations in the infant brain. Devel Cogn Neurosci; doi: 10.1016/j.dcn.2020.100860.
biorXiv
article
Cichy RM, Oliva A (in press) A M/EEG-fMRI Fusion Primer: Resolving Human Brain Responses in Space and Time. Neuron; doi: 10.1016/j.neuron.2020.07.001.
article
Dwivedi K, Cichy RM*, Roig G* (accepted). Unravelling Representations in Scene-selective Brain Regions Using Scene Parsing Deep Neural Networks. J Cog Neuro.
bioRxiv
Dwivedi K, Juang J, Cichy RM*, Roig G* (accepted). Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning. ECCV 2020.
arXiv
Kaiser D, Inciuraite G, Cichy RM (in press) Rapid contextualization of fragmented scene information in the human visual system. Neuroimage.
article
bioRxiv
data
Xie S, Kaiser D, Cichy RM (2020) Visual Imagery and perception share neural representations in the alpha frequency band. Curr Biol 30(13): 2621-2627. doi: 10.1016/j.cub.2020.04.074.
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data
Kaiser D, Haberle G, Cichy RM (2020) Real-world structure facilitates the rapid emergence of scene category information in visual brain signals. J Neurophysiol 124(1):145-151; doi: 10.1152/jn.00164.2020.
biorXiv
article
data
Kaiser D, Häberle G, Cichy RM (2020) Cortical sensitivity to natural scene structure. Hum Brain Map 41:1286-1295; doi: 10.1002/hbm.24875.
data
bioRxiv
Cichy RM, Roig G, Oliva A (2019) The Algonauts Project. Nat Machin Intel 1: 630.
Kietzmann T,Courtney JS, Sörensen L, Cichy RM, Hauk O, Kriegeskorte N (2019).
Recurrence required to capture the dynamic computations of the human ventral visual stream. PNAS 116(43): 21854-21863; doi: 10.1073/pnas.1905544116.
article
arXiv
Kaiser D, Turini J, Cichy RM (2019) A neural mechanism for contextualizing fragmented inputs during naturalistic vision. eLife 2019;8: e48182, doi: 10.7554/eLife.48182.
article
data
arXiv
Kaiser D, Quek GL, Cichy RM, Peelen MV (2019) Object vision in a structured world. TrendsCognSci 23(8): 672-685; doi: 10.1016/j.tics.2019.04.013.
pdf
Cichy RM, Kriegeskorte N, Jozwik K, van den Bosch JJF, Charest I (2019) The spatiotemporal neural dynamics underlying perceived similarity for real-world objects. Neuroimage 194: 12-24.
bioRxiv
pdf
Cichy RM, Kaiser D (2019) Deep neural networks as scientific models. TrendsCognSci 4: 305-317; doi: 10.1016/j.tics.2019.01.009.
article
Ambrus GG*, Kaiser D*, Cichy RM, Kovács G (2019) The neural dynamics of familiar face recognition. CerebCortex bhz010; doi: 10.1093/cercor/bhz010.
article
bioRxiv
Mohsenzadeh Y, Mullin C, Lahner B, Cichy RM, Oliva A (2019) Reliability and Generalizability of Similarity-Based Fusion of MEG and fMRI Data in Human Ventral and Dorsal Visual Streams. Vision 3(1), 8; doi: 10.3390/vision30100081526.
article
biorXiv
Kaiser D, Cichy RM (2018) Typical visual-field locations facilitate access to awareness for everyday objects. Cognition 180: 118-122; doi: 10.1016/j.cognition.2018.07.009.
article
bioRxiv
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Khaligh-Razavi SM, Cichy RM, Pantazis D, Oliva A (2018) Tracking the spatiotemporal neural dynamics of real-world object size and animacy in the human brain. JCognNeurosci 30(11): 1559-1576; doi: 10.1162/jocn_a_01290.
Grootswager T, Cichy RM, Carlson T (2018) Finding decodable information that is read out in behaviour. Neuroimage 179: 252-262, doi: 10.1016/j.neuroimage.2018.06.022.
article
bioRxiv
Chen Y, Cichy RM, Stennat W, Haynes JD (2018) Scale-specific analysis of fMRI data on the irregular cortical surface. Neuroimage 181: 370-381; doi: 10.1016/j.neuroimage.2018.07.002.
article
bioRxiv
Pantazis D, Fang M, Qin S, Mohsenzadeh Y, Li Q, Cichy RM (2018) Decoding the orientation of contrast edges from MEG evoked and induced responses. Neuroimage 180:267-279; doi: 10.1016/j.neuroimage.2017.07.022.
article
bioRxiv
Hebart MN, Bankson BB, Harel A, Baker CI*, Cichy RM* (2018) The representational dynamics of task and object processing in humans. eLife 2018;7:e32816, doi: 10.7554/eLife.32816.
article
bioRxiv
Kaiser D, Cichy RM (2018) Typical visual-field locations enhance processing in object-selective channels of human occipital cortex. JNeurophys; doi: 10.1152/jn.00229.2018.
article
data
Kaiser D, Moeskops MM, Cichy RM (2018) Typical real-world locations impact the time course of object coding. Neuroimage 176: 372:379; doi: 10.1016/j.neuroimage.2018.05.0066.
article
bioRxiv
data
Guggenmos G, Sterzer P, Cichy RM (2018) Multivariate pattern analysis for MEG: a comprehensive comparison of dissimilarity measures. Neuroimage, 173: 434-447; doi: 10.1016/j.neuroimage.2018.02.044.
matlab&python_tutorial
bioRxiv
article
Mohsenzadeh Y, Qin S, Cichy RM, Pantazis D (2018) Ultra-Rapid serial visual presentation reveals dynamics of feedforward and feedback processes in the ventral visual pathway. eLife 2018;7:e36329; doi: 10.7554/eLife.36329.
article
bioRxiv
Cichy RM, Pantazis D (2017) Multivariate pattern analysis of MEG and EEG: a comparison of representational structure in time and space. Neuroimage, 158:441-454.
article
bioRxiv
data
Cichy RM, Teng S (2017) Resolving the neural dynamics of visual and auditory scene processing in the human brain: a methodological approach PhilTransRSocB, doi: 10.1098/rstb.2016.0108.
pdf
Cichy RM, Khosla A, Pantazis D , Oliva A (2017) Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks Neuroimage, 153:346-358, doi:10.1016/j.neuroimage.2016.03.063.
article
project_page
biorxiv
Cichy RM, Pantazis D, Oliva A (2016) Similarity-based fusion of MEG and fMRI reveals spatio-temporal dynamics in human cortex during visual object recognition Cereb Cortex, doi: 10.1093/cercor/bhw135.
pdf
project_page
biorxiv
Cichy RM, Khosla A, Pantazis D, Torralba A, Oliva A (2016) Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence SciReports, 6:27755. doi: 10.1038/srep27755.
article
project_page
arxiv
Cichy RM, Pantazis D (2015) Can visual information encoded in cortical columns be decoded from magnetoencephalography data in humans? Neuroimage 121:193-204, doi:10.1016/j.neuroimage.2015.07.011.
pdf
tics-spotlight
arXiv
Guggenmos M, Thoma V, Haynes JD, Richardson-Klavehn A, Cichy RM*, Sterzer P* (2015) Spatial attention enhances object coding in local and distributed representations of the lateral occipital complex. Neuroimage 116:149:157, doi: 10.1016/j.neuroimage.2015.04.004.
pdf
Guggenmos M, Thoma V, Cichy RM, Haynes, JD, Sterzer P, Richardson-Klavehn R (2015) Non-holistic coding of objects in lateral occipital complex with and without attention. Neuroimage 107: 356-363; doi: 10.1016/j.neuroimage.2014.12.013.
article
Christophel TB, Cichy RM, Hebart MN, Haynes JD (2015) Parietal and early visual cortices encodes working memory across mental transformations. Neuroimage 106: 198-206, doi: 10.1016/j.neuroimage.2014.11.018.
article
Cichy RM, Pantazis D, Oliva A (2014) Resolving human object recognition in space and time. Nat Neurosci 17(3):455-62, doi: 10.1038/NN.3635.
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news&views
news
project_page
Ramirez F, Cichy RM, Allefeld C, Haynes JD (2014) The neural code for face orientation in the human fusiform face area. J Neurosci 34(36):12155-67, doi: 10.1523/JNEUROSCI.3156-13.2014.
pdf
Cichy RM, Sterzer P, Heinzle J, Haynes JD (2013) Probing principles of large-scale object representation: category preference and location encoding. Hum Brain Mapp 34(7):1636-51.
pdf
Cichy RM, Heinzle J, Haynes JD (2012) Imagery and perception share cortical representations of content and location. Cereb Cortex 22(2):372-80.
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Cichy RM, Chen Y, Haynes, JD (2011) Encoding the identity and location of objects in human LOC. Neuroimage 54(3):2297-307.
pdf
Schmidt S, Cichy RM, Kraft A, Brocke J, Irlbacher K, Brandt SA. (2009) An initial transient-state and reliable measure of corticospinal excitability in TMS studies. Clin Neurophysiol 120(5):987-93.
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* shared authorship