Skip to main content Accessibility help

Extrinsic and intrinsic representations

  • Sidney R. Lehky (a1) and Anne B. Sereno (a2) (a3)


We extend the discussion in the target article about distinctions between extrinsic coding (external references to known things, as required by information theory) and the alternative we and the target article both favor, intrinsic coding (internal relationships within sensory and motor signals). Central to our thinking about intrinsic coding is population coding and the concept of high-dimensional neural response spaces.



Hide All
Baldassi, C., Alemi-Neissi, A., Pagan, M., Dicarlo, J. J., Zecchina, R. & Zoccolan, D. (2013) Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons. PLoS Computational Biology 9:e1003167.
Eifuku, S., De Souza, W. C., Tamura, R., Nishijo, H. & Ono, T. (2004) Neuronal correlates of face identification in the monkey anterior temporal cortical areas. Journal of Neurophysiology 91:358–71.
Jazayeri, M. & Movshon, J. A. (2006) Optimal representation of sensory information by neural populations. Nature Neuroscience 9(5):690–96.
Kayaert, G., Biederman, I. & Vogels, R. (2005) Representation of regular and irregular shapes in macaque inferotemporal cortex. Cerebral Cortex 15:1308–21.
Kiani, R., Esteky, H., Mirpour, K. & Tanaka, K. (2007) Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. Journal of Neurophysiology 97:4296–309.
Lehky, S. R. & Sereno, A. B. (2007) Comparison of shape encoding in primate dorsal and ventral visual pathways. Journal of Neurophysiology 97:307–19.
Lehky, S. R. & Sereno, A. B. (2011) Population coding of visual space: Modeling. Frontiers in Computational Neuroscience 4:155. doi: 10.3389/fncom.2010.00155.
Lehky, S. R., Sereno, M. E. & Sereno, A. B. (2013) Population coding and the labeling problem: extrinsic versus intrinsic representations Neural Computation 25:2235–64.
Murata, A., Gallese, V., Luppino, G., Kaseda, M. & Sakata, H. (2000) Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area AIP. Journal of Neurophysiology 83:2580–601.
Op de Beeck, H., Wagemans, J. & Vogels, R. (2001) Inferotemporal neurons represent low-dimensional configurations of parameterized shapes. Nature Neuroscience 4:1244–52.
Pouget, A., Dayan, P. & Zemel, R. S. (2003) Inference and computation with population codes. Annual Review of Neuroscience 26:381410.
Quian Quiroga, R. & Panzeri, S. (2009) Extracting information from neuronal populations: Information theory and decoding approaches. Nature Reviews Neuroscience 10:173–85.
Rolls, E. T. & Tovée, M. J. (1995) Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. Journal of Neurophysiology 73:713–26.
Sereno, A. B. & Lehky, S. R. (2011) Population coding of visual space: Comparison of spatial representations in dorsal and ventral pathways. Frontiers in Computational Neuroscience 4:159. doi:10.3389/fncom.2010.00159.
Sereno, A. B. & Lehky, S. R. (2018) Attention effects on neural population representations for shape and location are stronger in the ventral than dorsal stream. eNeuro 5:e0371-0317.2018.
Sereno, A. B., Sereno, M. E. & Lehky, S. R. (2014) Recovering stimulus locations using populations of eye-position modulated neurons in dorsal and ventral visual streams of non-human primates. Frontiers in Integrative Neuroscience 8:28. doi:10.3389/fnint.2014.00028.
Young, M. P. & Yamane, S. (1992) Sparse population coding of faces in the inferotemporal cortex. Science 256:1327–31.
Sereno, A. B., Lehky, S. R. & Sereno, M.E. (2019) Representation of shape, space, and attention in monkey cortex. [Epub ahead of print] Cortex. doi:10.1016/j.cortex.2019.06.005.

Extrinsic and intrinsic representations

  • Sidney R. Lehky (a1) and Anne B. Sereno (a2) (a3)


Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed