AttwellDLaughlinS B, 2001“An energy budget for signaling in the grey matter of the brain”Journal of Cerebral Blood Flow and Metabolism211133–1145.
2.
BarlowH B, 1969“Pattern recognition and the responses of sensory neurones”Annals of the New York Academy of Sciences156872–881.
3.
BarlowH B, 1996“Intraneuronal information processing, directional selectivity and memory for spatiotemporal sequences”Network: Computation in Neural Systems7251–259.
4.
BiGPooM-M, 1998“Synaptic modification in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and post-synaptic cell type”Journal of Neuroscience232–48.
5.
BrayD, 1990“Intracellular signalling as a parallel distributed process”Journal of Theoretical Biology143215–231.
6.
BrayD, 1995“Protein molecules as computational elements in living cells”Nature376307–312.
7.
CrickF H C, 1958“On protein synthesis”, in Symposia for the Society for Experimental Biology Number 12 The Biological Replication of Macromolecules (Cambridge: Cambridge University Press) pp 138–162.
8.
EulerTDetwilerP BDenkW, 2002“Directionally selective calcium signals in dendrites of starburst amacrine cells”Nature418845–852.
9.
FieldD J, 1994“What is the goal of sensory coding?”Neural Computation6559–601.
10.
Gardner-MedwinA RBarlowH B, 2001“The limits of counting accuracy in distributed neural representations”Neural Computation13477–504.
11.
HastingsMMaywoodE S, 2000“Circadian clocks in the mammalian brain”BioEssays2223–31.
12.
KnillDRichardsW, (Eds), 1985Perception as Bayesian Inference (Cambridge: Cambridge University Press).
13.
KochC, 1997“Computation and the single neuron”Nature385207–210.
14.
LennieP, 1998“Single units and visual cortical organization”Perception27889–935.
15.
LennieP, 2003“The cost of cortical computation”Current Biology13403–407.
16.
LettvinJ Y, 1995“J Y Lettvin on grandmother cells”, in The Cognitive Neurosciences Ed. GazzanigaMS, (Cambridge, MA: MIT Press) chapter 26 appendix, pp 434–435.
17.
MarkramHLübkeJFrotscherMSakmannB, 1997“Regulation of synaptic efficacy by coincidence of post-synaptic APs and EPSPs”Science275213–215.
18.
MaunsellJ H RNewsomeW T, 1987“Visual processing in monkey extra-striate cortex”Annual Review of Neuroscience10363–401.
19.
NewsomeW TBrittenK HMovshonJ A, 1989“Neuronal correlates of a perceptual decision”Nature34152–54.
20.
OlshausenB AFieldD J, 1997“Sparse coding with an overcomplete basis set: A strategy employed by V1?”Vision Research373311–3325.
21.
PearlJ, 1988Probabilistic Reasoning in Intelligent Systems; Networks of Plausible Inference (San Mateo, CA: Morgan-Kaufmann).
22.
RollsE TToveeM J, 1995“Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex”Journal of Neurophysiology73713–726.
23.
SherringtonC S, 1941Man on His Nature (Cambridge: Cambridge University Press) p. 277.
24.
VaneyD ITaylorW R, 2002“Directional selectivity in the retina”Current Opinion in Neurobiology12405–410.
25.
ZekiS, 1978“Functional specialisation in the visual cortex of the rhesus monkey”Nature274423–428.
26.
EngelA KSingerW, 2001“Temporal binding and the neural correlates of sensory awareness”Trends in Cognitive Sciences516–25.
27.
Gardner-MedwinA RBarlowH B, 2001“The limits of counting accuracy in distributed neural representations”Neural Computation13477–504.
28.
MasquelierTThorpeS J, 2007“Unsupervised learning of visual features through spike timing dependent plasticity”PLoS Computational Biology3e31 doi:10.1371/journal.pcbi.0030031.
29.
QuirogaR QuianReddyLKreimanGKochCFriedI, 2005“Invariant visual representation by single neurons in the human brain”Nature4351102–1107.
30.
ThorpeSDelormeAVanRullenR, 2001“Spike-based strategies for rapid processing”Neural Networks14715–725.
31.
ThorpeS J, 2002“Localized versus distributed representations”, in The Handbook of Brain Theory and Neural Networks Ed. ArbibM A, 2nd edition (Cambridge, MA: MIT Press) pp 643–645.
32.
WaydoSKraskovAQuirogaR QuianFriedIKochC, 2006“Sparse representation in the human medial temporal lobe”Journal of Neuroscience2610232–10234.
33.
BarlowH B, 2001“Redundancy reduction revisited”Network: Computation in Neural Systems12241–253.
34.
BarlowH BGardner-MedwinA R, 2000“Localist representation can improve efficiency for detection and counting. (BBS Commentary on article on Connectionist Modelling by Mike Page)”Behavioral and Brain Sciences23467–468.
35.
BrayD, 1995“Protein molecules as computational elements in living cells”Nature376307–312.
36.
BurrD C, 1979“Acuity for apparent vernier offset”Vision Research19835–837.
37.
Gardner-MedwinA RBarlowH B, 2001“The limits of counting accuracy in distributed neural representations”Neural Computation13477–504.
38.
GreeneE, 2006“Simultaneity in the millisecond range as a requirement for effective shape recognition”Behavioral and Brain Functions238.
39.
HastingsMMaywoodE S, 2000“Circadian clocks in the mammalian brain”BioEssays2223–31.
40.
HebbD O, 1949The Organisation of Behavior (New York: John Wiley).
41.
JaffeD BBrownT H, 1994“Metabotropic glutamate receptor activation induces calcium waves within hippocampal dendrites”Journal of Neurophysiology72471–474.
42.
RustN CManteVSimoncelliE PMovshonJ A, 2006“How MT cells analyze the motion of visual patterns”Nature Neuroscience91421–1431.
43.
OlshausenB AFieldD J, 1996“Emergence of simple-cell receptive-field properties by learning a sparse code for natural images”Nature381607–609.
44.
SingerW, 2007“Large-scale temporal coordination of cortical activity as a prerequisite for conscious experience”, in The Blackwell Companion to Consciousness Eds VelmansMSchneiderS, (Oxford: Blackwell) pp 605–615.
45.
TsaoD, 2006“A dedicated system for processing faces”Science31472–73.
46.
WestheimerGMcKeeS P, 1975“Visual acuity in the presence of retinal-image motion”Journal of the Optical Society of America65847–850.