Spatiotemporal Response Properties of Optic-Flow Processing Neurons

Neuron - Tập 67 Số 4 - Trang 629-642 - 2010
Franz Weber1,2, Christian K. Machens3, Alexander Borst1
1Department of Systems and Computational Neurobiology, Max-Planck-Institute of Neurobiology, 82152 Martinsried, Germany
2Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, 80539 Munich, Germany
3Group for Neural Theory, INSERM U960 Ecole Normale Supérieure, 75005 Paris, France

Tóm tắt

Từ khóa


Tài liệu tham khảo

Aertsen, 1981, The spectro-temporal receptive field. A functional characteristic of auditory neurons, Biol. Cybern., 42, 133, 10.1007/BF00336731

Ahrens, 2008, Nonlinearities and contextual influences in auditory cortical responses modeled with multilinear spectrotemporal methods, J. Neurosci., 28, 1929, 10.1523/JNEUROSCI.3377-07.2008

Baccus, 2002, Fast and slow contrast adaptation in retinal circuitry, Neuron, 36, 909, 10.1016/S0896-6273(02)01050-4

Bernander, 1994, Amplification and linearization of distal synaptic input to cortical pyramidal cells, J. Neurophysiol., 72, 2743, 10.1152/jn.1994.72.6.2743

Bialek, 1991, Reading a neural code, Science, 252, 1854, 10.1126/science.2063199

Bishop, 2008

Borst, 1983, Computation of olfactory signals in Drosophila melanogaster, J. Comp. Physiol. [A], 152, 373, 10.1007/BF00606242

Borst, 2003, Noise, not stimulus entropy, determines neural information rate, J. Comput. Neurosci., 14, 23, 10.1023/A:1021172200868

Borst, 1996, The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties, J. Comput. Neurosci., 3, 313, 10.1007/BF00161091

Borst, 1999, Information theory and neural coding, Nat. Neurosci., 2, 947, 10.1038/14731

Borst, 1995, Mechanisms of dendritic integration underlying gain control in fly motion-sensitive interneurons, J. Comput. Neurosci., 2, 5, 10.1007/BF00962705

Borst, 2005, Adaptation without parameter change: Dynamic gain control in motion detection, Proc. Natl. Acad. Sci. USA, 102, 6172, 10.1073/pnas.0500491102

Borst, 2010, Fly motion vision, Annu. Rev. Neurosci., 33, 49, 10.1146/annurev-neuro-060909-153155

Britten, 2008, Mechanisms of self-motion perception, Annu. Rev. Neurosci., 31, 389, 10.1146/annurev.neuro.29.051605.112953

Carandini, 1994, Summation and division by neurons in primate visual cortex, Science, 264, 1333, 10.1126/science.8191289

Chance, 2002, Gain modulation from background synaptic input, Neuron, 35, 773, 10.1016/S0896-6273(02)00820-6

Christianson, 2008, The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields, J. Neurosci., 28, 446, 10.1523/JNEUROSCI.1775-07.2007

David, 2004, Natural stimulus statistics alter the receptive field structure of v1 neurons, J. Neurosci., 24, 6991, 10.1523/JNEUROSCI.1422-04.2004

Dayan, 2001

DeAngelis, 1995, Receptive-field dynamics in the central visual pathways, Trends Neurosci., 18, 451, 10.1016/0166-2236(95)94496-R

Duffy, 1991, Sensitivity of MST neurons to optic flow stimuli. I. A continuum of response selectivity to large-field stimuli, J. Neurophysiol., 65, 1329, 10.1152/jn.1991.65.6.1329

Duffy, 1997, Multiple temporal components of optic flow responses in MST neurons, Exp. Brain Res., 114, 472, 10.1007/PL00005656

Egelhaaf, 1989, Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system, J. Opt. Soc. Am. A, 6, 1070, 10.1364/JOSAA.6.001070

Fairhall, 2001, Efficiency and ambiguity in an adaptive neural code, Nature, 412, 787, 10.1038/35090500

Felsen, 2005, Cortical sensitivity to visual features in natural scenes, PLoS Biol., 3, e342, 10.1371/journal.pbio.0030342

Franz, 2000, Wide-field, motion-sensitive neurons and matched filters for optic flow fields, Biol. Cybern., 83, 185, 10.1007/s004220000163

Grewe, 2006, Implications of functionally different synaptic inputs for neuronal gain and computational properties of fly visual interneurons, J. Neurophysiol., 96, 1838, 10.1152/jn.00170.2006

Haag, 2007, Reciprocal inhibitory connections within a neural network for rotational optic-flow processing, Front. Neurosci., 1, 111, 10.3389/neuro.01.1.1.008.2007

Hausen, 1984, The lobula-complex of the fly: structure, function and significance in visual behavior, 523

Holt, 1997, Shunting inhibition does not have a divisive effect on firing rates, Neural Comput., 9, 1001, 10.1162/neco.1997.9.5.1001

Koch, 1995, Do neurons have a voltage or a current threshold for action potential initiation?, J. Comput. Neurosci., 2, 63, 10.1007/BF00962708

Krapp, 1996, Estimation of self-motion by optic flow processing in single visual interneurons, Nature, 384, 463, 10.1038/384463a0

Krapp, 2001, Binocular contributions to optic flow processing in the fly visual system, J. Neurophysiol., 85, 724, 10.1152/jn.2001.85.2.724

Lesica, 2007, Adaptation to stimulus contrast and correlations during natural visual stimulation, Neuron, 55, 479, 10.1016/j.neuron.2007.07.013

Lindemann, 2005, On the computations analyzing natural optic flow: quantitative model analysis of the blowfly motion vision pathway, J. Neurosci., 25, 6435, 10.1523/JNEUROSCI.1132-05.2005

Linden, 2003, Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex, J. Neurophysiol., 90, 2660, 10.1152/jn.00751.2002

Machens, 2004, Linearity of cortical receptive fields measured with natural sounds, J. Neurosci., 24, 1089, 10.1523/JNEUROSCI.4445-03.2004

Maimon, 2010, Active flight increases the gain of visual motion processing in Drosophila, Nat. Neurosci., 13, 393, 10.1038/nn.2492

Marmarelis, 1978

Olsen, 2010, Divisive normalization in olfactory population codes, Neuron, 66, 287, 10.1016/j.neuron.2010.04.009

Paolini, 2000, Responses to continuously changing optic flow in area MST, J. Neurophysiol., 84, 730, 10.1152/jn.2000.84.2.730

Pouille, 2009, Input normalization by global feedforward inhibition expands cortical dynamic range, Nat. Neurosci., 12, 1577, 10.1038/nn.2441

Reichardt, 1961, Autocorrelation, a principle for the evaluation of sensory information by the central nervous system, 303

Ringach, 1997, A subspace reverse-correlation technique for the study of visual neurons, Vision Res., 37, 2455, 10.1016/S0042-6989(96)00247-7

Rust, 2006, How MT cells analyze the motion of visual patterns, Nat. Neurosci., 9, 1421, 10.1038/nn1786

Sahani, 2003, How linear are auditory cortical responses?, 125

Schwartz, 2001, Natural signal statistics and sensory gain control, Nat. Neurosci., 4, 819, 10.1038/90526

Shapley, 1978, The effect of contrast on the transfer properties of cat retinal ganglion cells, J. Physiol., 285, 275, 10.1113/jphysiol.1978.sp012571

Sharpee, 2006, Adaptive filtering enhances information transmission in visual cortex, Nature, 439, 936, 10.1038/nature04519

Single, 1998, Dendritic integration and its role in computing image velocity, Science, 281, 1848, 10.1126/science.281.5384.1848

Single, 1997, Dendritic computation of direction selectivity and gain control in visual interneurons, J. Neurosci., 17, 6023, 10.1523/JNEUROSCI.17-16-06023.1997

Theunissen, 2001, Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli, Network, 12, 289, 10.1080/net.12.3.289.316

Wark, 2007, Sensory adaptation, Curr. Opin. Neurobiol., 17, 423, 10.1016/j.conb.2007.07.001

Wertz, 2009, Local and global motion preferences in descending neurons of the fly, J. Comp. Physiol. A Neuroethol. Sens. Neural. Behav. Physiol., 195, 1107, 10.1007/s00359-009-0481-0

Wu, 2006, Complete functional characterization of sensory neurons by system identification, Annu. Rev. Neurosci., 29, 477, 10.1146/annurev.neuro.29.051605.113024

Wylie, 1998, Common reference frame for neural coding of translational and rotational optic flow, Nature, 392, 278, 10.1038/32648