Publications

(PubMed search | Google Scholar)

Preprints

1. Jacob G, Pramod RT & Arun SP (2022) Visual homogeneity computations in the brain enable solving generic visual tasks (bioRxiv)

2. Cherian T & Arun SP (2021) What do we see behind an occluder? Amodal completion of statistical properties in complex objects (PsyArXiv)

Peer-reviewed publications

1. Passi A & Arun SP (2022) The Bouba–Kiki effect is predicted by sound properties but not speech properties, Attention Perception and Psychophysics (pdf | lay summary on Twitter | data)

2. [Invited Review] Arun SP (2022) Using compositionality to understand parts in whole objects, European Journal of Neuroscience, Trailblazers in Neuroscience series, 56:4378-92 (pdf | lay summary on Twitter)

3. Pramod RT, Katti H & Arun SP (2022) Human peripheral blur is optimal for object recognition, Vision Research, 200: 108083 (pdf | lay summary on Twitter | data)

4. Katti H & Arun SP (2022) A separable neural code in monkey IT enables perfect CAPTCHA decoding, Journal of Neurophysiology, 127: 869-884 (pdf | lay summary on Twitter | data)

5. Agrawal A, Nag S, Hari KVS & Arun SP (2022) Letter processing in upright bigrams predicts reading fluency variations in children, Journal of Experimental Psychology: General, 151: 2237-2249 (pdf | lay summary on Twitter | data). Media coverage: Deccan Herald

6. Pramod RT & Arun SP (2022) Improving Machine Vision using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification, IEEE Transactions in Pattern Analysis and Machine Intelligence, 44: 228-241 (pdf | India Alliance lay summary | data)

7. Somraj N, Kashi MS, Arun SP, Soundararajan R (2022) Understanding the perceived quality of video predictions, Signal Processing: Image Communication, 102:116626. (pdf)

8. Jacob G, Katti H, Cherian T, Das J, Zhivago KA & Arun SP (2021) A naturalistic environment to study visual cognition in unrestrained monkeys, eLife 10: e63816 (pdf | lay summary on Twitter | data). Media coverage: ( Times of India| Bangalore Mirror )

9. Jacob G, Pramod RT, Katti H & Arun SP (2021) Qualitative similarities and differences in visual object representations between brains and deep networks. Nature Communications, 12, 1872 (pdf | lay summary | data)

10. Zhivago KA, Sneha LS, Garani R, Purokayastha S, Rao NP, Murthy A & Arun SP (2020) Perceptual priming can increase or decrease with aging, Frontiers in Aging Neuroscience, 12:576922 (pdf)

11. Jacob G & Arun SP (2020) How the forest interacts with the trees: Multiscale shape integration explains global and local processing. Journal of Vision, 20: 1-20 (pdf | data)

12. Agrawal A, Hari KVS & Arun SP (2020) A compositional neural code in high-level visual cortex can explain jumbled word reading. eLife 9:e54846 (pdf | eLife digest layman's summary | data)

13. Agrawal A, Hari KVS & Arun SP (2019) Reading Increases the Compositionality of Visual Word Representations, Psychological Science 30: 1707-1723 (pdf | layman's summary at Research Matters| data)

14. Katti H & Arun SP (2019) Are you from North or South India? A hard face classification task reveals systematic representational differences between humans and machines. Journal of Vision 19:1-19 (pdf | data)

15. Katti H, Peleen MV and Arun SP (2019) Machine vision benefits from human contextual expectations , Scientific Reports, 9: 2112 (pdf)

16. Ratan Murty NA & Arun SP (2018) Multiplicative mixing of object identity and image attributes in single inferior temporal neurons. PNAS, 115:E3276-85 (pdf | Highlight in this issue)

17. Pramod RT & Arun SP (2018) Symmetric objects become special in perception due to generic computations in neurons. Psychological Science, 29:95-109. (pdf | layman's summary) 

18. Katti H, Peelen MV & Arun SP (2017) How do targets, nontargets and context influence real-world object detection? Attention Perception and Psychophysics, 79:2021-36 (pdf)

19. Vaidhiyan N, Arun SP & Sundaresan R (2017) Neural dissimilarity indices that predict oddball detection in behaviour, IEEE Transactions on Information Theory, 63(8): 4778-96 (pdf)

20. Ratan Murty NA & Arun SP (2017) A Balanced Comparison of Object Invariances in Monkey IT Neurons, eNeuro, 4(2) e0333-16.2017. (pdf)

21. Ratan Murty NA & Arun SP (2017) Effect of silhouetting and inversion on view invariance in the monkey inferotemporal cortex, Journal of Neurophysiology 118:353-362 (pdf)

22. Ratan Murty NA & Arun SP (2017) Seeing a straight line on a curved surface: Decoupling of patterns from surfaces by single IT neurons. Journal of Neurophysiology 117: 104-116 (pdf)

23. Sunder S & Arun SP (2016) Look before you seek: Preview adds a fixed benefit to all searches. Journal of Vision, 16:1-17 (pdf | layman's summary)

24. Puneeth NC & Arun SP (2016) A neural substrate for object permanence in monkey inferotemporal cortex. Scientific Reports, 6:30808 (pdf)

25. Pramod RT & Arun SP (2016) Do computational models differ systematically from human object perception? IEEE Conference on Computer Vision & Pattern Recognition (CVPR) (pdf | supplement | dataset)

26. Pramod RT & Arun SP (2016) Object attributes combine additively in visual search. Journal of Vision, 16(8):1-29 (pdf, correction)

27. Zhivago KA & Arun SP (2016) Selective IT neurons are selective along many dimensions. Journal of Neurophysiology, 115: 1512-1520 (pdf)

28. Ratan Murty NA & Arun SP (2015) Dynamics of 3d view invariance in monkey inferotemporal cortex. Journal of Neurophysiology, 113: 2180-94 (pdf | layman's summary)

29. Vighneshvel T & Arun SP (2015) Coding of relative size in monkey inferotemporal cortex. Journal of Neurophysiology, 113: 2173-79 (pdf)

30. Zhivago KA & Arun SP (2014) Texture discriminability in monkey inferotemporal cortex predicts human texture perception. Journal of Neurophysiology, 112: 2745-55 (pdf)

31. Pramod RT & Arun SP (2014) Features in visual search combine linearly. Journal of Vision 14(4):1-20 (pdf)

32. Vighneshvel T & Arun SP (2013) Does linear separability really matter? Complex search is explained by simple search. Journal of Vision, 13(11):10, 1-24 (pdf)

33. Mohan K & Arun SP (2012) Similarity relations in visual search predict rapid visual categorization. Journal of Vision, 12(11): 19 (pdf)

34. Vaidhiyan N, Arun SP & Sundaresan R (2012) Active sequential hypothesis testing with application to a visual search problem. Proceedings of the 2012 IEEE Symposium on Information Theory, Cambridge MA. (pdf)

35. Arun SP (2012) Turning visual search time on its head. Vision Research, 74: 86-92. (pdf)

36. Kim SS, Sripati AP & Bensmaia SJ (2010) Predicting the timing of spikes evoked by tactile stimulation of the hand. Journal of Neurophysiology, 104: 1484-96. (pdf)

37. Sripati AP & Olson CR (2010b) Responses to compound objects in monkey inferotemporal cortex: The whole is equal to the sum of discrete parts. Journal of Neuroscience, 30: 7948-60. (pdf)

38. Sripati AP & Olson CR (2010a) Global image dissimilarity in monkey inferotemporal cortex predicts human visual search performance. Journal of Neuroscience, 30: 1258-69. (pdf)

39. Kim S, Sripati AP, Vogelstein J, Armiger RS, Russell AF & Bensmaia SJ (2009) Conveying tactile feedback using a model of mechanotransduction. IEEE Transactions on Biomedical Circuits and Systems 3: 398-404. (pdf)

40. Sripati AP & Olson CR (2009) Representing the forest before the trees: a global advantage effect in monkey inferotemporal cortex. Journal of Neuroscience, 29:7788-96. (pdf | Dispatch in Current Biology) 

41. Sripati AP, Bensmaia SJ and Johnson KO (2006) A continuum mechanical model of mechanoreceptive afferent responses to indented spatial patterns. Journal of Neurophysiology 95: 3852-3864. (pdf)

42. Sripati AP & Johnson KO (2006) Dynamic gain changes during attentional modulation. Neural Computation 18: 1847-1867. (pdf)

43. Sripati AP, Yoshioka T, Denchev P, Hsiao SS & Johnson KO (2006) Spatiotemporal receptive fields of peripheral afferents and cortical area 3b and 1 neurons in the primate somatosensory system. Journal of Neuroscience 26: 2101-2114. (pdf)

44. Goldberg DH, Sripati AP & Andreou AG (2003). Energy efficiency in a channel model for the spiking axon. Neurocomputing, 52-54: 39-44. (pdf)

PhD & MSc Theses

1. Jacob G (2022) How are visual object representations organized and used to perform tasks? PhD thesis, Electrical Communication Engineering, Indian Institute of Science, Bangalore. 

2. Agarwal A (2019) Compositionality of letter shape in word recognition. PhD thesis, BioSystems Science and Engineering, Indian Institute of Science, Bangalore (Winner, Institute Medal, BSSE, 2021). 

3. Pramod RT (2018) Compositionality of object representations in brains and machines. PhD thesis, Electrical Communication Engineering, Indian Institute of Science, Bangalore. 

4. Murty NAR (2016) Dynamics of invariant object representations in the monkey inferotemporal cortex. PhD thesis, Centre for Neuroscience, Indian Institute of Science, Bangalore (Winner, Institute Medal, CNS, 2019).

5. Pramod RT (2014) Computational models of perceptual space: From simple features to complex shapes. MSc (Engg) thesis, Department of ECE, Indian Institute of Science, Bangalore. 

6. Sripati AP (2005) Neural representation of spatial information in the primate somatosensory system. PhD thesis, Department of ECE, Johns Hopkins University. 

Reviews & Articles

1. [Journal Club] Gangopadhyay P, Das J (2019) Do Primates and Deep Artificial Neural Networks Perform Object Categorization in a Similar Manner? Journal of Neuroscience 39:946-8 (Perspective on Rajalingham et al, 2018) (pdf)

2. [Journal Club] Ratan Murty NA, Pramod RT (2016) To What Extent Does Global Shape Influence Category Representation in the Brain? Journal of Neuroscience 36:4149–4151 (Perspective on Bracci & Op de Beeck 2016) (pdf)

3. [Perspective] Arun SP (2015) What is good science and when do you know you're doing it? From the India Alliance newsletter, July 2015.

4. [Book Review] Arun SP (2011) Review of the book "Design of experiments in neuroscience", Current Science.