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Publications of the Object Vision and Population Code Representation programme

 

Selected publications


Deep neural networks: a new framework for modelling biological vision and brain information processing Kriegeskorte N. (2015) Annu. Rev. Vis. Sci. 2015. 1:417-46.  bioRxiv

Faciotopy—A face-feature map with face-like topology in the human occipital face area Henriksson L, Mur M, Kriegeskorte K. (2015) Cortex 72: 156-167. 

Deep supervised, but not unsupervised, models may explain IT cortical representation Kriegeskorte N, Khaligh-Razavi SM. (2014) PLoS Computational Biology 10(11), e1003915.

Unique semantic space in the brain of each beholder predicts perceived similarity Charest I, Kriegeskorte N, Kievit RA, Schmitz TW, Deca D. (2014) PNAS 111(40):14565-14570. 

A toolbox for representational similarity analysis Nili H, Wingfield C, Walther A, Su L, Marslen-Wilson W, Kriegeskorte N. (2014) PLoS Computational Biology 10(4), e1003553. 

Representational geometry: integrating cognition, computation, and the brain Kriegeskorte N, Kievit RA. (2013) Trends in Cognitive Science (8): 401-12.

Circular analysis in systems neuroscience – the dangers of double dipping Kriegeskorte N, Simmons WK, Bellgowan PSF, Baker CI. (2009) Nature Neuroscience 12(5): 535-40. 

Matching categorical object representations in inferior temporal cortex of man and monkey Kriegeskorte N, Mur M, Ruff D, Kiani R, Bodurka J, Esteky H, Tanaka K, Bandettini P. (2008). Neuron 60(6): 1126-41. ,

Representational similarity analysis – connecting the branches of systems neuroscience Kriegeskorte N, Mur M and Bandettini PA. (2008) Frontiers in Systems Neuroscience. 2:4. 

Information-based functional brain mapping Kriegeskorte N, Goebel R, Bandettini P. (2006) PNAS 103: 3863-3868. 

Latest publications


Representational Distance Learning for Deep Neural Networks McClure P, Kriegeskorte N. (2015) arXiv. doi: 1511.03979. arXiv

Mind the drift - improving sensitivity to fMRI pattern information by accounting for temporal pattern drift Alink A., Walther A., Krugliak A, van den Bosch J, Kriegeskorte N. (2015) BioRxiv. doi:10.1101/032391. bioRxiv

Ramp coding with population averaging predicts human cortical face-space representations and perception Carlin J, Kriegeskorte N. (2015) BioRxiv. doi:10.1101/029603. bioRxiv

Explaining the hierarchy of visual representational geometries by remixing of features from many computational vision models Khaligh-Razavi S-M, Henriksson L, Kay K, Kriegeskorte N. (2015) BioRxiv. doi:10.1101/009936. bioRxiv

Crossvalidation in brain imaging analysis Kriegeskorte N. (2015) BioRxiv. doi: 10.1101/017418. bioRxiv

Intersubject information mapping: revealing canonical representations of complex natural stimuli Kriegeskorte N. (2015) BioRxiv. doi:10.1101/016436. bioRxiv

The brain of the beholder: honouring individual representational idiosyncrasies Charest A., Kriegeskorte N. (2015) Language, Cognition and Neuroscience. 30(4): 367-379. bioRxiv

Visual representations are dominated by intrinsic fluctuations correlated between areas Henriksson L, Khaligh-Razavi S-M, Kay K, Kriegeskorte N. (2014)NeuroImage114: 275-286. bioRxiv

Perceptual similarity of visual patterns predicts the similarity of their dynamic neural activation patterns measured with MEG Wardle S, Kriegeskorte N, Khaligh-Razavi S-M, Carlson T. (2015) arXiv. doi:1506.02208. arXiv

Deep neural networks: a new framework for modelling biological vision and brain information processing Kriegeskorte N. (2015) Annu. Rev. Vis. Sci. 2015. 1:417-46. bioRxiv

Faciotopy—A face-feature map with face-like topology in the human occipital face area Henriksson L, Mur M, Kriegeskorte K. (2015) Cortex 72: 156-167.

Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares Jozwik K, Kriegeskorte N, Mur M. (2015) Neuropsychologia doi:10.1016/j.neuropsychologia.2015.10.023. bioRxiv

Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression Wimber M, Alink A, Charest I, Kriegeskorte N, Anderson M. (2015) Nature Neuroscience18(4): 582-589.

Visual representations are dominated by intrinsic fluctuations correlated between areas Henriksson L, Khaligh-Razavi SM, Kay K, Kriegeskorte N. (2015) NeuroImage114: 275-286.

Similarity, not complexity, determines visual working memory performance Jackson M, Linden D, Roberts M, Kriegeskorte K, Haenschel C. (2015) Journal of Experimental Psychology 41(6):1884-1892.

Population coding of affect across stimuli, modalities and individuals Chikazoe J, Lee D, Kriegeskorte N, Anderson A. (2014) Nature Neuroscience17: 1114-1122.

Unique semantic space in the brain of each beholder predicts perceived similarity Charest I, Kriegeskorte N, Kievit RA, Schmitz TW, Deca D. (2014) PNAS 111(40):14565-14570. 

Deep supervised, but not unsupervised, models may explain IT cortical representation Kriegeskorte N, Khaligh-Razavi SM. (2014) PLoS Computational Biology 10(11), e1003915.

A toolbox for representational similarity analysis Nili H, Wingfield C, Walther A, Su L, Marslen-Wilson W, Kriegeskorte N. (2014) PLoS Computational Biology 10(4), e1003553. 

Reaction time for object categorization is predicted by representational distance Carlson TA, Ritchie JB, Kriegeskorte N, Durvasula S, Ma J. (2014) Journal of  Cognitive Neuroscience  26(1): 132-42. 

What’s there, distinctly, when and where? Mur M, Kriegeskorte N. (2014) Nature neuroscience 17 (3). 332-333. 

Book


Visual Population Codes - Toward a Common Multivariate Framework for Cell Recording and Functional Imaging  Kriegeskorte N, Kreiman G (Eds) MIT Press 2011. PDF

Thesis


Functional magnetic resonance imaging of the human object-vision system Kriegeskorte, N. (2004) PhD Thesis. Universiteit Maastricht. 

Full list of peer-reviewed publications


2015

Representational Distance Learning for Deep Neural Networks McClure P, Kriegeskorte N. (2015) arXiv. doi: 1511.03979. 

Mind the drift - improving sensitivity to fMRI pattern information by accounting for temporal pattern drift Alink A., Walther A., Krugliak A, van den Bosch J, Kriegeskorte N. (2015) BioRxiv. doi:10.1101/032391.

Ramp coding with population averaging predicts human cortical face-space representations and perception Carlin J, Kriegeskorte N. (2015) BioRxiv. doi:10.1101/029603.

Explaining the hierarchy of visual representational geometries by remixing of features from many computational vision models Khaligh-Razavi S-M, Henriksson L, Kay K, Kriegeskorte N. (2015) BioRxiv. doi:10.1101/009936.

Crossvalidation in brain imaging analysis Kriegeskorte N. (2015) BioRxiv. doi: 10.1101/017418.

Intersubject information mapping: revealing canonical representations of complex natural stimuli Kriegeskorte N. (2015) BioRxiv. doi:10.1101/016436.

The brain of the beholder: honouring individual representational idiosyncrasies Charest A., Kriegeskorte N. (2015) Language, Cognition and Neuroscience. 30(4): 367-379.

Visual representations are dominated by intrinsic fluctuations correlated between areas Henriksson L, Khaligh-Razavi S-M, Kay K, Kriegeskorte N. (2014)NeuroImage114: 275-286. 

Perceptual similarity of visual patterns predicts the similarity of their dynamic neural activation patterns measured with MEG Wardle S, Kriegeskorte N, Khaligh-Razavi S-M, Carlson T. (2015) arXiv. doi:1506.02208. 

Deep neural networks: a new framework for modelling biological vision and brain information processing Kriegeskorte N. (2015) Annu. Rev. Vis. Sci. 2015. 1:417-46.

Faciotopy—A face-feature map with face-like topology in the human occipital face area Henriksson L, Mur M, Kriegeskorte K. (2015) Cortex 72: 156-167. 

Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares Jozwik K, Kriegeskorte N, Mur M. (2015) Neuropsychologia doi:10.1016/j.neuropsychologia.2015.10.023.

Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression Wimber M, Alink A, Charest I, Kriegeskorte N, Anderson M. (2015) Nature Neuroscience18(4): 582-589.

Visual representations are dominated by intrinsic fluctuations correlated between areas Henriksson L, Khaligh-Razavi S-M, Kay K, Kriegeskorte N. (2015) NeuroImage 114: 275-286.

Similarity, not complexity, determines visual working memory performance Jackson M, Linden D, Roberts M, Kriegeskorte K, Haenschel C. (2015) Journal of Experimental Psychology 41(6):1884-1892.

2014

Unique semantic space in the brain of each beholder predicts perceived similarity Charest I, Kriegeskorte N, Kievit RA, Schmitz TW, Deca D. (2014) PNAS 111(40):14565-14570. 

Deep supervised, but not unsupervised, models may explain IT cortical representation Kriegeskorte N, Khaligh-Razavi SM (2014) PLoS Computational Biology 10(11), e1003915.

Reaction time for object categorization is predicted by representational distance Carlson TA, Ritchie JB, Kriegeskorte N, Durvasula S, Ma JJ. Cogn Neurosci. 2014 Jan;26(1):132-42. doi: 10.1162/jocn_a_00476. Epub 2013 Sep 3. PDF

A toolbox for representational similarity analysis Nili H, Wingfield C, Walther A, Su L, Marslen-Wilson W, Kriegeskorte N. (2014) PLoS Computational Biology 10(4), e1003553. 

Population coding of affect across stimuli, modalities and individuals Chikazoe J, Lee D, Kriegeskorte N, Anderson A. (2014) Nature Neuroscience17: 1114-1122.

What’s there, distinctly, when and where? Mur M, Kriegeskorte N. (2014) Nature neuroscience 17 (3). 332-333. 

2013

Abstract encoding of auditory objects in cortical activity patterns. Giordano BL, McAdams S, Zatorre RJ, Kriegeskorte N, Belin P. (2013) Cerebral Cortex. PDF

Awake reactivation predicts memory in humans Staresina BP, Alink A, Kriegeskorte N, Henson RN. (2013) Proc Natl Acad Sci U S A.  110(52): 21159-64. PDF

Choosing the rules: distinct and overlapping frontoparietal representations of task rules for perceptual decisions  Zhang J, Kriegeskorte N, Carlin JD, Rowe JB. (2013) Journal of Neuroscience 33(29): 11852-11862. PDF

fMRI orientation decoding in V1 does not require global maps or globally coherent orientation stimuli Alink A, Krugliak A, Walther A, Kriegeskorte N. (2013). Front Psychol.  Aug 12;4:493. PDF

Human Object-Similarity Judgments Reflect and Transcend the Primate-IT Object Representation. Mur M, Meys M, Bodurka J, Goebel R, Bandettini PA, Kriegeskorte N. (2013) Frontiers in Psychology. PDF

Intrinsic Structure of Visual Exemplar and Category Representations in Macaque Brain Liu N, Kriegeskorte N, Mur M, Hadj-Bouziane F, Luh WM, Tootell RB, Ungerleider LG. (2013) Journal of Neuroscience 33(28): 11346-11360. 

Representational dynamics of object vision: The first 1000 ms Carlson T, Tovar DA, Alink A, Kriegeskorte N. (2013) Journal of Vision. 

Representational geometry: integrating cognition, computation, and the brain Kriegeskorte N, Kievit RA. (2013) Trends in Cognitive Science. 

The Emergence of Semantic Meaning in the Ventral Temporal Pathway Carlson TA, Simmons RA, Kriegeskorte N, Slevc LR. (2013) Journal of Cognitive Neuroscience. 

2012

An emerging consensus for open evaluation: 18 visions for the future of scientific publishing Kriegeskorte N, Walther A, Deca D. (2012) Frontiers in Computational Neuroscience. PDF

Auditory motion direction encoding in auditory cortex and high-level visual cortex Alink A, Euler F, Kriegeskorte N, Singer W, Kohler A. (2012) Hum Brain Mapp. 33(4): 969-978. PDF

Categorical, yet graded - single-image activation profiles of human category-selective cortical regions  Mur M, Ruff DA, Bodurka J, De Weerd P, Bandettini PA, Kriegeskorte N. (2012) Journal of Neuroscience 32(25): 8649-8662. PDF

Direction-Sensitive Codes for Observed Head Turns in Human Superior Temporal Sulcus Carlin JD, Rowe JB, Kriegeskorte N, Thompson R, Calder AJ. (2012) Cerebral Cortex doi: 10.1093/cercor/bhr061. PDF

Episodic reinstatement in the medial temporal lobe  Staresina BP, Henson RN, Kriegeskorte N, Alink A. (2012) Journal of Neuroscience 32(5): 18150-18156. PDF

Inverse MDS: Inferring Dissimilarity Structure from Multiple Item Arrangements  Kriegeskorte N, Mur M. (2012) Frontiers in Perception Science3PDF

Open evaluation: a vision for entirely transparent post-publication peer review and rating for science  Kriegeskorte N. (2012) Frontiers in Computational Neuroscience. PDF

Seeing patterns through the hemodynamic veil - The future of pattern-information fMRI Formisano E, Kriegeskorte N. (2012) Neuroimage 62(2): 1249-1256. PDF

2011

A head view-invariant representation of gaze direction in anterior superior temporal sulcus Carlin JD, Calder AJ, Kriegeskorte N, Nili H, Rowe JB. (2011) Curr Biol. 21(21): 1817-21. PDF

Pattern-information analysis: from stimulus decoding to computational-model testing  Kriegeskorte N. (2011) NeuroImage 56(2): 411-421. PDF

Utilizing temporal information in fMRI decoding: classifier using kernel regression methods Chu C, MourÃo-Miranda J, Chiu YC, Kriegeskorte N, Tan G, Ashburner J. (2011) Neuroimage 58(2): 560-71. PDF

2010

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI Misaki M, Kim Y, Bandettini PA, Kriegeskorte N. (2010) NeuroImage. 53(1): 103-118. PDF

Everything you never wanted to know about circular analysis – but were afraid to ask Kriegeskorte N, Lindquist MA, Nichols TE, Poldrack RA, Vul E. (2010) J Cereb Blood Flow Metab. 30(9): 1551-1557. PDF

Face-identity change activation outside the face system: "release from adaptation" may not always indicate neuronal selectivity Mur M, Ruff DA, Bodurka J, Bandettini PA, Kriegeskorte N. (2010) Cereb Cortex 20(9): 2027-2042. PDF

High-Level Visual Object Representations Are Constrained by Position Kravitz DJ, Kriegeskorte N, Baker CI (2010) Cereb Cortex 20(12): 2916-2925. PDF

Interpreting brain images – reflections on an adolescent field Kriegeskorte N. (2010) Trends in Cognitive Sciences 14(11): 475-476. (book review) PDF

How does an fMRI voxel sample the neuronal activity pattern: compact kernel or complex spatiotemporal filter?  Kriegeskorte N, Cusack R, Bandettini PA. (2010) Neuroimage 49(3): 1965-76. PDF

Pattern-information fMRI: new questions which it opens up, and challenges which face it Raizada RDS, Kriegeskorte N. (2010) International Journal of Imaging Systems and Technology 20(1): 31-41. PDF

2009

Circular analysis in systems neuroscience – the dangers of double dipping  Kriegeskorte N, Simmons WK, Bellgowan PSF, Baker CI. (2009) Nature Neuroscience 12(5): 535-40. pdf

Relating population-code representations between man, monkey, and computational models Kriegeskorte N. (2009) Frontiers in Neuroscience 3(3): 363. pdf

Revealing Representational Content with Pattern-Information fMRI – an Introductory Guide Mur M, Bandettini P, Kriegeskorte N. (2009) Social Cognitive and Affective Neuroscience 4(1): 101-9. PDF

2008

Artifactual time course correlations in echo-planar fMRI with implications for studies of brain function Kriegeskorte N, Bodurka J, Bandettini PA. (2008) International Journal of Imaging Systems and Technology 18(5-6): 345-349. pdf

Matching categorical object representations in inferior temporal cortex of man and monkey Kriegeskorte N, Mur M, Ruff D, Kiani R, Bodurka J, Esteky H, Tanaka K, Bandettini P. (2008) Neuron 60(6): 1126-41. pdf,

Representational similarity analysis – connecting the branches of systems neuroscience  Kriegeskorte N, Mur M and Bandettini PA. (2008) Frontiers in Systems Neurosciencepdf

The arrow of time: how does the brain represent natural temporal structure?  Carvalho FM, Kriegeskorte N. (2008) J Neurosci 28(32): 7933-5. PDF

2007

Analyzing for information, not activation, to exploit high-resolution fMRI  Kriegeskorte N, Bandettini P. (2007) Neuroimage 38(4): 649-62. 

Combining the tools: activation- and information-based fMRI analysis  Kriegeskorte N, Bandettini P. (2007) Neuroimage 38(4): 666-8. PDF

Individual faces elicit distinct response patterns in human anterior temporal cortex  Kriegeskorte N, Formisano E, Sorger B, Goebel R. (2007) PNAS 104(51): 20600-5. pdf

Neural correlates of trust   Krueger F, McCabe K, Moll J, Kriegeskorte N, Zahn R, Strenziok M, Heinecke A, Grafman J. (2007) PNAS 104(50): 20084-9. pdf

2006

Information-based functional brain mapping  Kriegeskorte N, Goebel R, Bandettini P. (2006) PNAS 103: 3863-3868. pdf

The neuroscientific exploitation of high-resolution functional magnetic resonance imaging  Kriegeskorte N, Bandettini P. (2006) IEEE EMBC 1:21-4.

2005

Primary visual cortex activity along the apparent-motion trace reflects illusory perception  Muckli L, Kohler A, Kriegeskorte N, Singer W. (2005) PLoS Biology 3(8): e265. PDF

2003

Cortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal network  Linden DE, Bittner RA, Muckli L, Waltz JA, Kriegeskorte N, Goebel R, Singer W, Munk MH. (2003) Neuroimage 20 (3): 1518-1530. PDF

Human cortical object recognition from a visual motion flowfield   Kriegeskorte N, Sorger B, Naumer M, Schwarzbach J, van den Boogert E, Hussy W, Goebel R. (2003) J Neurosci 23(4): 1451-63. pdf

2002

Apparent motion: Event-related functional magnetic resonance imaging of perceptual switches and states  Muckli L, Kriegeskorte N, Lanfermann H, Zanella FE, Singer W, Goebel R. (2002) J Neurosci 22 (9). PDF

Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components  Formisano E, Esposito F, Kriegeskorte N, Tedeschi G, Di Salle F, Goebel R. (2002) Neurocomputing 49: 241-254. PDF

2001

An efficient algorithm for topologically correct segmentation of the cortical sheet in anatomical MR volumes  Kriegeskorte N, Goebel R. (2001) Neuroimage 14(2): 329-46. PDF

Full list of non-peer reviewed publications


Datenanalyse für funktionell bildgebende Verfahren Goebel R, Kriegeskorte N. (2005) Chapter in Henrik Walter (Ed.): Funktionelle Bildgebung in Psychiatrie und Psychotherapie. Schattauer, Stuttgart, New York.

Funktionelle Bildgebung in der Kognitionsforschung Goebel R, Kriegeskorte N. (2007) Chapter in Eimer M, Goschke T (Eds.): Enzyklopädie der Psychologie: Kognition - Band 5. Hogrefe.

Funktionelle Magnetresonanztomographie Goebel R, Kriegeskorte N. (2005) Chapter in Henrik Walter (Ed.): Funktionelle Bildgebung in Psychiatrie und Psychotherapie. Schattauer, Stuttgart, New York.

Interpreting brain images – reflections on an adolescent field Kriegeskorte N. (2011) Trends in Cognitive Sciences. (book review)PDF

Representational similarity analysis of object population codes in humans, monkeys, and models Kriegeskorte N, Mur M (2011) in Visual Population Codes by Kriegeskorte N, Kreiman G (Eds). MIT Press.

Tutorial on pattern classification in functional imaging Kriegeskorte N, Mur M (2011) in Visual Population Codes by Kriegeskorte N, Kreiman G (Eds). MIT Press.

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