Independent component analysis of temporal sequences forms place cells

Neurocomputing

Volumn 38-40, Issue , 2001, Pages 769-774

  Lorincz, András ^a   Szirtes, Gábor ^a   Takács, Bálint ^a   Buzsáki, György ^b  

^a EÖTVÖS LORÁND UNIVERSITY   (Hungary)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Cognitive map; Generative network; Hippocampus; Independent component analysis; Temporal sequences

Indexed keywords

CELLS; COMPUTER SIMULATION; DATA PROCESSING; NEURAL NETWORKS;

TIME SLICES;

INDEPENDENT COMPONENT ANALYSIS;

ARTICLE; COMPUTER SIMULATION; CONTROLLED STUDY; ENTORHINAL CORTEX; HIPPOCAMPUS; INFORMATION PROCESSING; INNER EAR; NERVE TRACT; NONHUMAN; PRIORITY JOURNAL; SENSORY STIMULATION; SIGNAL TRANSDUCTION;

EID: 0035383927     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00453-2     Document Type: Article

References (18)

1. H.B. Barlow, Single units and sensation: a neuron doctrine for perceptual psychology? Perception 1 (1972) 295-311.
2. A.J. Bell, T.J. Sejnowski, The "independent components" of natural scenes are edge filters, Vision Res. 37 (1997) 3327-3338.
3. Gy. Buzsáki, Feed-forward inhibition in the hippocampal formation, Progr. Neurobiol. 22 (1984) 131-153.
4. D. Charles, C. Fyfe, Modelling multiple cause structure using rectification constraints, Network: Comput. Neural Systems 9 (1998) 167-182.
5. D.J. Field, Relations between the statistics of natural images and the response properties of cortical cells, J. Opt. Soc. Am. A4 (1987) 2379-2394.
6. D.J. Field, What is the goal of sensory coding? Neural Comput. 6 (1994) 559-601.
7. J.H. Hateren, D.L. Ruderman, Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex, Proc. R. Sec. London Ser. B 265 (1998) 2315-2320.
8. D.A. Henze, W.E. Cameron, G. Barrionuevo, Dendritic morphology and its effects on the amplitude and rise-time of synaptic signals in hippocampal ca3 pyramidal cells, J. Comput. Neurol. 369 (1996) 331-344.
9. A. Hyvárinen, E. Oja, A fast fixed-point algorithm for independent component analysis, Neural Comput. 9 (1997) 1483-1492.
10. D.B. Jaffe, N.T. Carnevale, Passive normalization of synaptic integration influenced by dendritic architecture, J. Neurophysiol. 82 (1999) 3268-3285.
11. O. Jensen, J.E. Lisman, Hippocampal ca3 region predicts memory sequences: accounting for the phase precession of place cells, Learning Memory 3 (1996) 279-287.
12. J.E. Lisman, Relating hippocampal circuitry to function: recall of memory sequences by reciprocal dentate-ca3 interactions, Neuron 22 (1999) 233-242.
13. J.E. Lisman, M.A.P. Idiart, A mechanism for storing 7 ± 2 short-term memories in oscillatory subcycles, Science 267 (1995) 1512-1514.
14. A. Lörincz, Forming independent components via temporal locking of reconstruction architectures: a functional model of the hippocampus, Biol. Cybernet. 79 (1998) 263-275.
15. A. Lörincz, G. Buzsáki, The parahippocampal region: implications for neurological and psychiatric diseases, in: H.E. Sharfman (Ed.), Phase Computational Model of the Entorhinal-Hippocampal Region, New York Academy of Sciences, 2000 (Chapter 2).
16. B.A. Olshausen, D.J. Field, Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature 381 (1996) 607-609.
17. B. Olshausen, D.J. Field, Sparse coding with an overcomplete basis set: a strategy employed by v1? Vision Res. 37 (1997) 3311-3325.
18. A. Treves, S. Panzeri, E.T. Rolls, M. Booth, E.A. Wakeman, Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli, Neural Comput. 11 (1999) 601-631.