Abstract

INTRODUCTION Brain function can be seen as computation, i.e. the manipulation of information necessary for survival. Computation itself is an abstract process but it must be performed or implemented in a physical system. Any physical computing system, be it an electronic computer or a biological system consisting of neurons, must use some form of physical representation for the pieces of information that it processes. Computations are implemented by the transformations of these physical representations of information. The brain receives information via the sensory channels and must eventually generate an appropriate motor output. But before we can even study the transformations that are involved, we need at least some fundamental understanding of the internal representation that these transformations operate on. Neurons represent and communicate information mainly by generating (or `firing') a sequence of electrical impulses. Electrophysiological techniques exist for the recor

Citations

427	Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research 37 - OLSHAUSEN, FIELD - 1997
181	Theoretical neuroscience - Dayan, Abbot - 2002
162	Inferotemporal cortex and object vision. Annu Rev Neurosci 19 - Tanaka - 1996
156	Natural image statistics and neural representation - Simoncelli, Olshausen - 2001
130	Forming sparse representations by local antiHebbian learning - Földiák - 1990
87	On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex - Georgopoulos, Kalaska, et al. - 1982
84	Visual neurones responsive to faces in the monkey temporal cortex. Exp - Perrett, Rolls, et al. - 1982
82	Coding visual images of objects in the inferotemporal cortex of the macaque monkey - Tanaka, Saito, et al. - 1991
70	Visual properties of neurons in inferotemporal cortex of the Macaque - Gross, Rocha-Miranda, et al. - 1972
65	Columns for visual features of objects in monkey inferotemporal cortex - Fujita, Tanaka, et al. - 1992
60	T.: Responses of neurons in primary and inferior temporal visual cortices to natural scenes - BADDELEY, ABBOTT, et al. - 1997
45	2000 Sparse coding and decorrelation in primary visual cortex during natural vision - Vinje, Gallant - 1995
40	What is the goal of sensory coding? Neural Computation - Field - 1994
30	Shape representation in area V4: position-specific tuning for boundary conformation - Pasupathy, Connor - 2001
24	vision and the statistics of natural scenes - Wavelets - 1999
11	Stimulus optimisation in primary visual cortex. Neurocomputing, 38–40:1217–1222. 208 et al - Foldiak - 2001
11	Neural encoding of individual words and faces by the human hippocampus and amygdala - Heit, Smith, et al. - 1988
7	Sparse population coding of faces - MP, Yamane - 1992
6	Distributed representation. In Parallel distributed processing: Explorations in the microstructure of cognition - Hinton, McClelland, et al. - 1986
4	Vision tells you more than “what is where - Barlow - 1991
2	Single units and sensation - Barlow - 1972
1	Single units and sensation, Perception - Barlow - 1972
1	Elements of visual perception, Nature - Stryker - 1992
1	Visual cortex: Modules for pattern recognition - Young - 1993