Analyzing multicomponent receptive fields from neural responses to natural stimuli

References

• Adelson EH, Bergen JR. Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A 1997; 14: 529–546
   Google Scholar
• Agüera y Arcas B, Fairhall A. What causes a neuron to spike?. Neural Computation 2003; 15: 1789–1807
   PubMed Web of Science ®Google Scholar
• Agüera y Arcas B, Fairhall A, Bialek W. Computation in a single neuron: Hodgkin and Huxley revisited. Neural Computation 2003; 15: 1715–1749, (See also physics/0212113)
   PubMed Web of Science ®Google Scholar
• Arfken GB, Weber HJ. Mathematical methods for physicists. Elsevier, New York 1970
   Google Scholar
• Atencio CA, Sharpee TO, Schreiner CE. Cooperative nonlinearities in auditory cortical neurons. Neuron 2008; 58: 956–966
   PubMed Web of Science ®Google Scholar
• Atencio CA, Sharpee TO, Schreiner CE. Hierarchical computation in the canonical auditory cortical circuit. PNAS 2009; 106: 21894–21899
   PubMed Web of Science ®Google Scholar
• Bellman R. Adaptive processes – A guided tour. Princeton University Press, Princeton, NJ 1961
   Google Scholar
• Bialek W, deRuyter van Steveninck RR. Features and dimensions: Motion estimation in fly vision 2005, q-bio/0505003
   Google Scholar
• Brenner N, Bialek W, de Ruyter van Steveninck RR. Adaptive rescaling maximizes information transmission. Neuron 2000a; 26: 695–702
   PubMed Web of Science ®Google Scholar
• Brenner N, Strong SP, Koberle R, Bialek W, de Ruyter van Steveninck RR. Synergy in a neural code. Neural Computation 2000b; 12: 1531–1552, (See also physics/9902067)
   PubMed Web of Science ®Google Scholar
• Bussgang JJ, 1952. Crosscorrelation functions of amplitude distorted Gaussian signals. Research Laboratory of Electronics M.I.T Technical Report, Volume 216
   Google Scholar
• Chen X, Han F, Poo M, Dan Y. Excitatory and suppressive receptive field subunits in awak monkey primary visual cortex (V1). PNAS 2007; 104: 19120–19125
   PubMed Web of Science ®Google Scholar
• Chichilnisky EJ. A simple white noise analysis of neuronal light responses. Network: Computation in Neural Systems 2001; 12: 199–213
   PubMed Web of Science ®Google Scholar
• de Boer E, Kuyper P. Triggered correlation. IEEE Transactions on Biomedical Engineering 1968; BME-15: 169–179
   Google Scholar
• de Ruyter van Steveninck RR, Bialek W. Real-time performance of a movement-sensitive neuron in the blowfly visual system: Coding and information transfer in short spike sequences. Proceedings of the Royal Social of London B 1988; 265: 259–265
   Google Scholar
• DeAngelis GC, Ohzawa I, Freeman RD. Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. ii. Linearity of temporal and spatial summation. Journal of Neurophysiology 1993; 69: 1118–1135
   PubMed Web of Science ®Google Scholar
• Dodson CTJ, Poston T. Tensor geometry: The geometric viewpoint and its uses, Graduate Texts in Mathematics. Springer-Verlag, Berlin 1991
   Google Scholar
• Efron B, Tibshirani RJ. An Introduction to the bootstrap. Chapman and Hall. 1998
   Google Scholar
• Fairhall AL, Lewen GD, Bialek W, de Ruyter van Steveninck RR. Efficiency and ambiguity in an adaptive neural code. Nature 2001; 412: 787–792
   PubMed Web of Science ®Google Scholar
• Fairhall AL, Burlingame CA, Narasimhan R, Harris RA , Puchalla JL, 2nd Berry MJ. Selectivity for multiple stimulus features in retinal ganglion cells. Journal of Neurophysiology 2006; 96: 2724–2738
   PubMed Web of Science ®Google Scholar
• Friedman JH, Stuetzle W. Projection pursuit regression. Journal of Americal Statistical Association 1981; 76: 817–823
   Web of Science ®Google Scholar
• Geffen MN, Broome BM, Laurent G, Meister M. Neural encoding of rapidly fluctuating odors. Neuron 2009; 61: 570–586
   PubMed Web of Science ®Google Scholar
• Gill P, Zhang J, Woolley SM, Fremouw T, Theunissen FE. Sound representation methods for spectrotemporal receptive field estimation. Journal of Computational Neuroscience 2006; 21: 5–20
   PubMed Web of Science ®Google Scholar
• Gradstein IS, Ryzhik IM. Table of integrals, series, and products. Academic Press, San Diego 2000
   Google Scholar
• Heeger DJ. Normalization of cell responses in cat visual cortex. Visual Neuroscience 1992; 9: 181–197
   PubMed Web of Science ®Google Scholar
• Hong S, Agera y Arcas B, Fairhall AL. Single neuron computation: From dynamical system to feature detector. Neural Computation 2007; 112: 3133–3172
   Google Scholar
• Hsu A, Woolley SMN, Fremouw TE, Theunissen FE. Modulation power and phase spectrum of natural sounds enhance neural encoding performed by single auditory neuronsd. Journal of Neuroscience 2004; 24: 9201–9211
   PubMed Web of Science ®Google Scholar
• Hunter IW, Korenberg MJ. The identification of nonlinear biological systems: Wiener and hammerstein cascade models. Biology Cybernertics 1986; 55: 135–144
   PubMed Web of Science ®Google Scholar
• Kinney JB, Tkačik G, Callan CG. Precise physical models of protein-dna interaction from high-throughput data. PNAS 2007; 104: 501–506
   PubMed Web of Science ®Google Scholar
• Kouh M, Sharpee TO. Estimating linear-nonlinear models using renyi divergences. Network: Computation in Neural Systems 2009; 20: 49–68
   PubMed Web of Science ®Google Scholar
• Lewicki MS. Efficient coding of natural sounds. Nature Neuroscience 2002; 5: 356–363
   PubMed Web of Science ®Google Scholar
• Lundstrom BN, Higgs MH, Spain WJ, Fairhall AL. Fractional differentiation by neocortical pyramidal neurons. Nature Neuroscience 2008; 11: 1335–1342
   PubMed Web of Science ®Google Scholar
• Maravall M, Petersen RS, Fairhall AL, Arabzadeh E, Diamond ME. Shifts in coding properties and maintenance of information transmission during adaptation in barrel cortex. PLoS Biology 2007; 5: 323–334
   Web of Science ®Google Scholar
• Meister M, Berry MJ. The neural code of the retina. Neuron 1999; 22: 435–450
   PubMed Web of Science ®Google Scholar
• Nagel KI, Doupe AJ. Temporal processing and adaptation in the songbird auditory forebrain. Neuron 2006; 51: 845–859
   PubMed Web of Science ®Google Scholar
• Nagel KI, Doupe AJ. Organizing principles of spectro-temporal encoding in the avian primary auditory area field l. Neuron 2008; 58: 938–955
   PubMed Web of Science ®Google Scholar
• Nykamp DQ, Ringach DL. Full identification of a linear-nonlinear system via cross-correlation analysis. Journal of Vision 2002; 2: 1–11
   PubMed Web of Science ®Google Scholar
• Paninski L. Convergence properties of three spike-triggered average techniques. Network: Computation in Neural Systems 2003; 14: 437–464
   PubMed Web of Science ®Google Scholar
• Paninski L. Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems 2004; 15: 243–262
   PubMed Web of Science ®Google Scholar
• Pillow JW, Simoncelli EP. Dimensionality reduction in neural models: An information-theoretic generalization of spike-triggered average and covariance analysis. Journal of Vision 2006; 6: 414–428
   PubMed Web of Science ®Google Scholar
• Press WH, Teukolsky SA, Vetterling WT, Flannery BP. Numerical recipes in C: The art of scientific computing. Cambridge University Press, Cambridge 1992
   Google Scholar
• Rapela J, Mendel JM, Grzywacz NM. Estimating nonlinear receptive fields from natural images. Journal of Vision 2006; 16: 441–474
   Google Scholar
• Rapela J, Felsen G, Touryan J, Mendel JM, Grzywacz NM. EPPR: A new strategy for the characterization of sensory cells from input/output data. Network: Computation in Neural Systems 2010; 21: 35–90
   PubMed Web of Science ®Google Scholar
• Ringach DL. Mapping receptive fields in primary visual cortex. Journal of Physiology 2004; 558: 717–728
   PubMed Web of Science ®Google Scholar
• Ringach DL, Hawken MJ, Shapley R. Receptive field structure of neurons in monkey visual cortex revealed by stimulation with natural image sequences. Journal of Vision 2002; 2: 12–24
   PubMed Web of Science ®Google Scholar
• Ruderman DL, Bialek W. Statistics of natural images: Scaling in the woods. Physical Review Letters 1994; 73: 814–817
   PubMed Web of Science ®Google Scholar
• Rust NC, Schwartz O, Movshon JA, Simoncelli EP. Spatiotemporal elements of macaque V1 receptive fields. Neuron 2005; 46: 945–956
   PubMed Web of Science ®Google Scholar
• Sahani M, Linden JF. Evidence optimization techniques for estimating stimulus-response functions. Advances in neural information processing systems, S Becker, S Thrun, K Obermayer. MIT Press, Cambridge, MA 2003; 15: 301–308
   Google Scholar
• Schwartz O, Simoncelli EP. Natural signal statistics and sensory gain control. Nature Neuroscience 2001; 4: 819–825
   PubMed Web of Science ®Google Scholar
• Schwartz O, Pillow JW, Rust NC, Simoncelli EP. Spike-triggered neural characterization. Journal of Vision 2006; 6: 484–507
   PubMed Web of Science ®Google Scholar
• Sen K, Theunissen FE, Doupe AJ. Feature analysis of natural sounds in the songbird auditory forebrain. Journal of Neurophysiology 2001; 86: 1445–1458
   PubMed Web of Science ®Google Scholar
• Shapley RM, Victor JD. The effect of contrast on the transfer properties of cat retinal ganglion cells. Journal of Physiology 1978; 285: 275–298
   PubMed Web of Science ®Google Scholar
• Sharpee T, Rust NC, Bialek W. Analyzing neural responses to natural signals: Maximally informatiove dimensions. Neural Computation 2004a; 16: 223–250, (See also physics/0212110, and a preliminary account in Advances in Neural Information Processing 15 edited by S. Becker, S. Thrun, and K. Obermayer, pp. 261–268 (MIT Press, Cambridge, 2003))
   PubMed Web of Science ®Google Scholar
• Sharpee T, Sugihara H, Kurgansky AV, Rebrik S, Stryker MP, Miller KD. Probing feature selectivity of neurons in primary visual cortex with natural stimuli. Proceedings of the Society of Photo-Optical Instrumentation Engineers 2004b; 5467: 212–222
   Google Scholar
• Sharpee TO. Comparison of information and variance maximization strategies for characterizing neural feature selectivity. Statistics in Medicine 2007; 26: 4009–40031
   PubMed Web of Science ®Google Scholar
• Sharpee TO, Victor JD. Contextual modulation of V1 receptive fields depends on their spatial symmetry. Journal of Computational Neuroscience 2009; 26: 203–218
   PubMed Web of Science ®Google Scholar
• Sharpee TO, Sugihara H, Kurgansky AV, Rebrik SP, Stryker MP, Miller KD. Adaptive filtering enhances information transmission in visual cortex. Nature 2006; 439: 936–942
   PubMed Web of Science ®Google Scholar
• Simoncelli EP, Olshausen BA. Natural image statistics and neural representation. Annual Review Neuroscience 2001; 24: 1193–1216
   PubMed Web of Science ®Google Scholar
• Sincich LC, Horton JC, Sharpee TO. Preserving information in neural transmission. Journal of Neuroscience 2009; 29: 6207–6216
   PubMed Web of Science ®Google Scholar
• Skottun BC, De Valois RL, Grosof DH, Movshon JA, Albrecht DG, Bonds AB. Classifying simple and complex cells on the basis of response modulation. Vision Research 1991; 31: 1079–1086
   PubMed Web of Science ®Google Scholar
• Slee SJ, Higgs MH, Fairhall AL, Spain WJ. Two-dimensional time coding in the auditory brainstem. Journal of Neuroscience 2005; 25: 9978–9988
   PubMed Web of Science ®Google Scholar
• Strong SP, Koberle R, de Ruyter van Steveninck RR, Bialek W. Entropy and information in neural spike trains. Physical Review Letters 1998; 80: 197–200
   Web of Science ®Google Scholar
• Theunissen FE, Sen K, Doupe AJ. Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. Journal of Neuroscience 2000; 20: 2315–2331
   PubMed Web of Science ®Google Scholar
• Theunissen FE, David SV, Singh NC, Hsu A, Vinje WE, Gallant JL. Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli. Network 2001; 3: 289–316
   Google Scholar
• Touryan J, Lau B, Dan Y. Isolation of relevant visual features from random stimuli for cortical complex cells. Journal of Neuroscience 2002; 22: 10811–10818
   PubMed Web of Science ®Google Scholar
• Touryan J, Felsen G, Dan Y. Spatial structure of complex cell receptive fields measured with natural images. Neuron 2005; 45: 781–791
   PubMed Web of Science ®Google Scholar
• Wark B, Fairhall AL. Sensory adaptation. Current Opinion in Neurobiology 2007; 17: 423–429
   PubMed Web of Science ®Google Scholar
• Woolley SMN, Gill PR, Theunissen FE. Stimulus-dependent auditory tuning results in synchronous population coding of vocalization in the songbird midbrain. Journal of Neuroscience 2006a; 26: 2499–2512
   PubMed Web of Science ®Google Scholar
• Woolley SMN, Gill PR, Theunissen FE. Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds. Journal of Neuroscience 2006b; 26: 2499–2512
   PubMed Web of Science ®Google Scholar