Barlow's 1972 Paper

Experiments E D Adrian and his colleagues succeeded in recording from single peripheral sensory nerve fibres in the 1920s, and by 1972 the activity of neurons in most sensory modalities had been studied at several levels up to and including the cerebral cortex. In the original paper this work was reviewed, and an attempt was made to bring out the main implications of the experimental findings. Re-reading this part more than 30 years later, I do not think there is much that is actually wrong or very misleading: there is an unfortunate misprint at the top of page 273 (`̀ explains'' instead of ` èxplores'') that may have concealed my intended meaning from a good many readers, and parts of the section on modifiability overemphasised the instructive as opposed to the selective role of visual experience in determining the properties of adult neurons in visual cortex. In addition, it has now become clear, from the use of awake, behaving animals, that the maintained discharge rates and peak impulse frequencies in cortical neurons are a good deal higher than those commonly found in anaesthetised preparations, and one of the implications of this new evidence will be considered below. There have been many other very important additions to our knowledge of the subject since then, notably in our understanding of extrastriate visual areas (eg Zeki 1978; Maunsell and Newsome 1987), and in correlating single-unit results from these areas with behavioural performance by recording from neurons in the brains of awake, behaving animals performing psychophysical tasks (eg Newsome et al 1989 and later papers in this series). Studies in audition, and especially olfaction, have caught up with those in vision, and shown interesting similarities and differences. But, whereas there really was a revolution in our understanding of the capacity of single neurons as information processors in the years before the article was written, I believe subsequent work has, so far, mainly substantiated these changes. On the other hand, the outlook for the future has changed radically; not only have old techniques for investigating neural activity in the brain been greatly improved and new methods developed, but advances in cell and molecular biology, genetics, and development, seem to guarantee further major revolutions.

[1]  Doris Y. Tsao A Dedicated System for Processing Faces , 2006, Science.

[2]  Timothée Masquelier,et al.  Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity , 2007, PLoS Comput. Biol..

[3]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[4]  W. Singer,et al.  Temporal binding and the neural correlates of sensory awareness , 2001, Trends in Cognitive Sciences.

[5]  Evelyne Sernagor,et al.  Directional selectivity in the retina , 1998 .

[6]  Eero P. Simoncelli,et al.  How MT cells analyze the motion of visual patterns , 2006, Nature Neuroscience.

[7]  S. McKee,et al.  Visual acuity in the presence of retinal-image motion. , 1975, Journal of the Optical Society of America.

[8]  C. Koch,et al.  Sparse Representation in the Human Medial Temporal Lobe , 2006, The Journal of Neuroscience.

[9]  S. Zeki Functional specialisation in the visual cortex of the rhesus monkey , 1978, Nature.

[10]  H Barlow,et al.  Intraneuronal information processing, directional selectivity and memory for spatio-temporal sequences. , 1996, Network.

[11]  W. Taylor,et al.  Direction selectivity in the retina , 2002, Current Opinion in Neurobiology.

[12]  H. Markram,et al.  Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.

[13]  E T Rolls,et al.  Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. , 1995, Journal of neurophysiology.

[14]  D. Bray,et al.  Intracellular signalling as a parallel distributed process. , 1990, Journal of theoretical biology.

[15]  E. Maywood,et al.  Circadian clocks in the mammalian brain. , 2000, BioEssays : news and reviews in molecular, cellular and developmental biology.

[16]  Christof Koch,et al.  Computation and the single neuron , 1997, Nature.

[17]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems , 1988 .

[18]  E. Bienenstock,et al.  Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[19]  E. Greene Simultaneity in the millisecond range as a requirement for effective shape recognition , 2006, Behavioral and Brain Functions.

[20]  P. Detwiler,et al.  Directionally selective calcium signals in dendrites of starburst amacrine cells , 2002, Nature.

[21]  C. Koch,et al.  Invariant visual representation by single neurons in the human brain , 2005, Nature.

[22]  David J. Field,et al.  Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.

[23]  J. Maunsell,et al.  Visual processing in monkey extrastriate cortex. , 1987, Annual review of neuroscience.

[24]  S. Laughlin,et al.  An Energy Budget for Signaling in the Grey Matter of the Brain , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[25]  T. H. Brown,et al.  Metabotropic glutamate receptor activation induces calcium waves within hippocampal dendrites. , 1994, Journal of neurophysiology.

[26]  D. Johnston,et al.  Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997 .

[27]  D. Burr Acuity for apparent vernier offset , 1979, Vision Research.

[28]  H. B. Barlow,et al.  The Limits of Counting Accuracy in Distributed Neural Representations , 2001, Neural Computation.

[29]  H Barlow,et al.  Redundancy reduction revisited , 2001, Network.

[30]  W. Singer Large scale temporal coordination of cortical activity as prerequisite for conscious experience , 2010 .

[31]  K. H. Britten,et al.  Neuronal correlates of a perceptual decision , 1989, Nature.

[32]  P. Lennie Single Units and Visual Cortical Organization , 1998, Perception.

[33]  S. Thorpe Localized versus distributed representations , 1998 .

[34]  Arnaud Delorme,et al.  Spike-based strategies for rapid processing , 2001, Neural Networks.

[35]  David J. Field,et al.  What Is the Goal of Sensory Coding? , 1994, Neural Computation.

[36]  Horace Barlow,et al.  Localist representation can improve efficiency for detection and counting , 2000 .

[37]  D. Bray Protein molecules as computational elements in living cells , 1995, Nature.

[38]  P. Lennie The Cost of Cortical Computation , 2003, Current Biology.

[39]  H B Barlow,et al.  PATTERN RECOGNITION AND THE RESPONSES OF SENSORY NEURONS * , 1969, Annals of the New York Academy of Sciences.