Artículo

Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

As subjects perceive the sensory world, different stimuli elicit a number of neural representations. Here, a subjective distance between stimuli is defined, measuring the degree of similarity between the underlying representations. As an example, the subjective distance between different locations in space is calculated from the activity of rodent's hippocampal place cells and lateral septal cells. Such a distance is compared to the real distance between locations. As the number of sampled neurons increases, the subjective distance shows a tendency to resemble the metrics of real space. © 2005 Massachusetts Institute of Technology.

Registro:

Documento: Artículo
Título:A subjective distance between stimuli: Quantifying the metric structure of representations
Autor:Oliva, D.; Samengo, I.; Leutgeb, S.; Mizumori, S.
Filiación:Lab. de Neurbio. de la Memoria, Depto. Fisiol., Biol. Molec./Celular, Ciudad Universitaria, 1428, Buenos Aires, Argentina
Centra Atómico Bariloche, San Carlos de Bariloche, Rio Negro, Argentina
Centre for the Biology of Memory, Norwegian Univ. of Sci. and Technol., NO-7489 Trondheim, Norway
Psychology Department, University of Washington, Seattle 98195-1525, United States
Palabras clave:action potential; animal; article; biological model; depth perception; hippocampus; human; Long Evans rat; maze test; memory; nerve tract; orientation; photostimulation; physiology; pyramidal nerve cell; rat; septum nucleus; synaptic transmission; system analysis; Action Potentials; Animals; Hippocampus; Humans; Maze Learning; Memory; Models, Neurological; Neural Pathways; Orientation; Photic Stimulation; Probability Theory; Pyramidal Cells; Rats; Rats, Long-Evans; Septal Nuclei; Space Perception; Synaptic Transmission
Año:2005
Volumen:17
Número:4
Página de inicio:969
Página de fin:990
DOI: http://dx.doi.org/10.1162/0899766053429372
Título revista:Neural Computation
Título revista abreviado:Neural Comp.
ISSN:08997667
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08997667_v17_n4_p969_Oliva

Referencias:

  • Amari, S., Nagaoka, H., (2000) Methods of Information Geometry, , New York: Oxford University Press and American Mathematical Society
  • Cover, T.M., Thomas, J.A., (1991) Elements of Information Theory, , New York: Wiley
  • Cox, T.F., Cox, M.A., (2000) Multidimensional Scaling, (2nd Ed.), , London: Chapman and Hall
  • Dayan, P., Abbott, L.F., (2001) Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, , Cambridge, MA: MIT Press London
  • Green, D.M., Swets, J.A., (1966) Signal Detection Theory and Psychophysics, , New York: Willey
  • Kuhl, P.K., Learning and representation in speech and language (1994) Curr. Op. Neurobiol., 4, pp. 812-822
  • Leutgeb, S., Mizumori, S.J., Context-specific spatial representations by lateral septal cells (2002) J. Neurosci., 112 (3), pp. 655-663
  • O'Keefe, J., Dostrovsky, J., The hippocampus as a spatial map: Preliminary evidence from unit activity in the freely moving rat (1971) Brain Res., 34, pp. 171-175
  • Redish, A.D., (1999) Beyond the Cognitive Map: from Place Cells to Episodic Memory, , Cambridge, MA: MIT Press
  • Rieke, F., Warland, D., De Ruyter Van Steveninck, R., Bialek, W., (1997) Spikes: Exploring the Neural Code, , Cambridge, MA: MIT Press
  • Rolls, E.T., Treves, A., (1998) Neural Networks and Brain Function, , New York: Oxford University Press
  • Samengo, I., The information loss in an optimal maximum likelihood decoding (2001) Neural Comput., 14, pp. 771-779
  • Treves, A., On the perceptual structure of face space (1997) Biosystems, 40, pp. 189-196
  • Victor, J.D., Purpura, K.P., Metric-space analysis of spike trains: Theory, algorithms and application (1997) Network: Comput. Neural Syst., 8, pp. 127-164
  • Young, F.W., Hamer, R.M., (1994) Theory and Applications of Multidimensional Scaling, , Hillsdale, NJ: Eribaum
  • Young, A.W., Rowland, D., Calder, A.J., Etcoff, N.L., Seth, A., Perrett, D.I., Facial expression megamix: Tests of dimensional and category accounts of emotion recognition (1997) Cognition, 63, pp. 271-313

Citas:

---------- APA ----------
Oliva, D., Samengo, I., Leutgeb, S. & Mizumori, S. (2005) . A subjective distance between stimuli: Quantifying the metric structure of representations. Neural Computation, 17(4), 969-990.
http://dx.doi.org/10.1162/0899766053429372
---------- CHICAGO ----------
Oliva, D., Samengo, I., Leutgeb, S., Mizumori, S. "A subjective distance between stimuli: Quantifying the metric structure of representations" . Neural Computation 17, no. 4 (2005) : 969-990.
http://dx.doi.org/10.1162/0899766053429372
---------- MLA ----------
Oliva, D., Samengo, I., Leutgeb, S., Mizumori, S. "A subjective distance between stimuli: Quantifying the metric structure of representations" . Neural Computation, vol. 17, no. 4, 2005, pp. 969-990.
http://dx.doi.org/10.1162/0899766053429372
---------- VANCOUVER ----------
Oliva, D., Samengo, I., Leutgeb, S., Mizumori, S. A subjective distance between stimuli: Quantifying the metric structure of representations. Neural Comp. 2005;17(4):969-990.
http://dx.doi.org/10.1162/0899766053429372