References
- Dayan P, Abbott L. Theoretical Neuroscience. MIT Press, Cambridge, MA 2001
- Pouget A, Dayan P, Zemel R. Information processing with population codes. Nat. Rev. Neurosci. 2000; 1: 125–32
- Paradiso M A. A theory for the use of visual orientation information which exploits the columnar structure of striate cortex. Biol. Cybern. 1988; 58: 35–49
- Georgopoulos A P, Kalaska J F, Caminiti R, Massey J T. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J. Neurosci. 1982; 2: 1527–37
- Maunsell J H, Van Essen D C. Functional properties of neurons in middle temporal visual area of the macaque monkey i. Selectivity for stimulus direction, speed, and orientation. J. Neurophysiol. 1983; 49: 1127–47
- O'Keefe J, Dostrovsky J. The hippocampus as a spatial map preliminary evidence from unit activity in the freely-moving rat. Brain Res. 1971; 34: 171–5
- Best P J, White A M, Minai A. Spatial processing in the brain: the activity of hippocampal place cells. Annu. Rev. Neurosci. 2001; 24: 459–86
- Theunissen F E, Miller J P. Representation of sensory information in the cricket cercal sensory system ii. Information theoretic calculation of system accuracy and optimal tuning-curve widths of four primary interneurons. J. Neurophysiol. 1991; 66: 1690–703
- Zohary E. Population coding of visual stimuli by cortical neurons tuned to more than one dimension. Biol. Cybern. 1992; 66: 265–72
- Pouget A, Zhang K, Deneve S, Latham P E. Statistically efficient estimation using population coding. Neural Comput. 1998; 10: 373–401
- Salinas E, Abbott L F. Vector reconstruction from firing rates. J. Comput. Neurosci. 1994; 1: 89–107
- Seung H S, Sompolinsky H. Simple models for reading neuronal population codes. Proc. Natl Acad. Sci. USA 1993; 90(10)749–53
- Snippe H P. Parameter extraction from population codes: a critical assessment. Neural Comput. 1996; 8: 511–29
- Deneve S, Latham P E, Pouget A. Reading population codes: a neural implementation of ideal observers. Nat. Neurosci. 1999; 2: 740–5
- Cover T M, Thomas J A. Elements of Information Theory. Wiley, New York 1991
- Van Trees H. Detection, Estimation and Modulation Theory. Wiley, New York 1968; 1, 2
- Rife D C, Boorstyn R R. Single-tone parameter estimation from discrete-time observations. IEEE Trans. Inf. Theory 1974; 20: 591–8
- Akahira M, Takeuchi K. Asymptotic Efficiency of Statistical Estimators: Concepts and High Order Asymptotic Efficiency. Springer, Berlin 1981, Springer Lecture Notes in Statistics vol 7
- Pelli D G. Uncertainty explains many aspects of visual contrast detection and discrimination. J. Opt. Soc. Am. A 1985; 2: 1508–32
- Snippe H, Koenderink J. Information in channel-coded systems: correlated receivers. Biol. Cybern. 1992; 67: 183–90
- Shadlen M, Newsome W. Noise, neural codes and cortical organization. Curr. Opin. Neurobiol. 1994; 4: 569–79
- Abbott L F, Dayan P. The effect of correlated variability on the accuracy of a population code. Neural Comput. 1999; 11: 91–101
- Yoon H, Sompolinsky H. The effect of correlations on the fisher information of population codes. Advances in Neural Information Processing Systems. MIT Press, Cambridge, MA 1998; vol 11
- Wu S, Nakahara H, Amari S. Population coding with correlation and an unfaithful model. Neural Comput. 2001; 13: 775–97
- Wu S, Amari S, Nakahara H. Population coding and decoding in a neural field: a computational study. Neural Comput. 2002; 14: 999–1026