Abstract
There is substantial neurophysiological evidence from decades of single-cell studies that category and other concept cells exist in both human and animal brains. This indicates that the brain can generalize and create abstract concepts and encode and represent such abstractions using single cells. These single-cell findings cannot be accounted for and explained by the theory of distributed representation and population coding, the dominant theory in the brain sciences. In light of these findings, this paper reexamines the two contending mental representational schemes, localist and distributed, on the basis of computational efficiency, the ability to simultaneously process and activate many different concepts, and the structure for semantic cognition. The evidence for category and concept cells favors localist representation in the brain.
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Quian Quiroga R, Kraskov A, Koch C, Fried I. Explicit encoding of multimodal percepts by single neurons in the human brain. Curr Biol. 2009;19:1308–13.
Quian Quiroga R. Concept cells: the building blocks of declarative memory functions. Nat Rev Neurosci. 2012;13(8):587–97.
Suthana N, Fried I. Percepts to recollections: insights from single neuron recordings in the human brain. Trends in cognitive sciences. 2012;16(8):427–36.
Roy A. A theory of the brain: localist representation is used widely in the brain. Front Psychol. 2012;3:551. doi:10.3389/fpsyg.2012.00551.
Roy A. An extension of the localist representation theory: grandmother cells are also widely used in the brain. Front Psychol. 2013;4:300. doi:10.3389/fpsyg.2013.00300.
Fried I, McDonald K, Wilson C. Single neuron activity in human hippocampus and amygdala during recognition of faces and objects. Neuron. 1997;18:753–65.
Kreiman G, Koch C, Fried I. Category-specific visual responses of single neurons in the human medial temporal lobe. Nat Neurosci. 2000;3:946–53.
Kawasaki H, Adolphs R, Oya H, Kovach C, Damasio H, Kaufman O, Howard Iii M. Analysis of single-unit responses to emotional scenes in human ventromedial prefrontal cortex. J Cogn Neurosci. 2005;17(10):1509–18.
Gross CG. How inferior temporal cortex became a visual area. Cereb Cortex. 1994;5:455–69.
Logothetis N, Sheinberg D. Visual object recognition. Annu Rev Neurosci. 1996;19:577–621.
Freedman D, Miller E. Neural mechanisms of visual categorization: insights from neurophysiology. Neurosci Biobehav Rev. 2008;32:311–29.
Gothard KM, Battaglia FP, Erickson CA, Spitler KM, Amaral DG. Neural responses to facial expression and face identity in the monkey amygdala. J Neurophysiol. 2007;97:1671–83.
Lin LN, Chen GF, Kuang H, Wang D, Tsien JZ. Neural encoding of the concept of nest in the mouse brain. Proc Natl Acad Sci USA. 2007;104:6066–71.
Yoshida I, Mori K. Odorant category profile selectivity of olfactory cortex neurons. J Neurosci. 2007;27(34):9105–14.
Sugase Y, Yamane S, Ueno S, Kawano K. Global and fine information coded by single neurons in the temporal visual cortex. Nature. 1999;400(6747):869–73.
Collins A, Quillian M. Retrieval time from semantic memory. J Verba Learn Verbal Behav. 1969;8:240–7.
Rumelhart D, Todd P. Learning and connectionist representations. In: Meyer Kornblum, editor. Attention and performance XIV: synergies in experimental psychology, artificial intelligence, and cognitive neuroscience. Massachusetts: MIT Press; 1993. p. 3–30.
Rogers T, McClelland J. A parallel distributed processing approach. Semantic cognition: MIT Press; 2004.
Rogers T, McClelland J. Precis of semantic cognition: a parallel distributed processing approach. Behav Brain Sci. 2008;31:689–749.
Kootstra G, de Boer B, Schomaker LR. Predicting eye fixations on complex visua stimuli using local symmetry. Cogn Comput. 2011;3(1):223–40.
Foulsham T, Underwood G. If visual saliency predicts search, then why? Evidence fro normal and gaze-contingent search tasks in natural scenes. Cogn Comput. 2011;3(1):48–63.
Wischnewski M, Belardinelli A, Schneider WX, Steil JJ. Where to look next? Combining static and dynamic proto-objects in a TVA-based model of visual attention. Cogn Comput. 2010;2(4):326–43.
Garagnani M, Wennekers T, Pulvermüller F. Recruitment and consolidation of cell assemblies for words by way of Hebbian learning and competition in a multi-layer neural network. Cogn Comput. 2009;1(2):160–76.
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Roy, A. On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation. Cogn Comput 7, 279–284 (2015). https://doi.org/10.1007/s12559-014-9307-7
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DOI: https://doi.org/10.1007/s12559-014-9307-7