2017-08 system neurosci

papers in Aug

Abrol, A., Damaraju, E., Miller, R. L., Stephen, J. M., Claus, E. D., Mayer, A. R., & Calhoun, V. D. (2017). Replicability of time-varying connectivity patterns in large resting state fMRI samples. bioRxiv, 172866. http://doi.org/10.1101/172866

Adams, D. L., Economides, J. R., & Horton, J. C. (2017). Incomitance and Eye Dominance in Intermittent ExotropiaIncomitance in Exotropia. Investigative Ophthalmology & Visual Science, 58(10), 4049–4055. http://doi.org/10.1167/iovs.17-22155

  • Agetsuma, M., Hamm, J. P., Tao, K., Fujisawa, S., & Yuste, R. (2017). Parvalbumin-Positive Interneurons Regulate Neuronal Ensembles in Visual Cortex. Cerebral Cortex (New York, N.Y. : 1991), 1–15. http://doi.org/10.1093/cercor/bhx169

  • Aghayee, S., Winkowski, D. E., Bowen, Z., Marshall, E. E., Harrington, M. J., Kanold, P. O., & Losert, W. (2017). Particle Tracking Facilitates Real Time Capable Motion Correction in 2D or 3D Two-Photon Imaging of Neuronal Activity. Frontiers in Neural Circuits, 11, 295. http://doi.org/10.3389/fncir.2017.00056

  • Akbarinia, A., & Parraga, C. A. (2017). Feedback and Surround Modulated Boundary Detection. International Journal of Computer Vision, 33(5), 1–14. http://doi.org/10.1007/s11263-017-1035-5

Albright, T. D. (2017). Why eyewitnesses fail. Proceedings of the National Academy of Sciences, 114(30), 7758–7764. http://doi.org/10.1073/pnas.1706891114

  • Andersen, N., Krauth, N., & Nabavi, S. (2017). Hebbian plasticity in vivo : relevance and induction. Current Opinion in Neurobiology, 45, 188–192. http://doi.org/10.1016/j.conb.2017.06.001

  • Angelucci, A., Bijanzadeh, M., Nurminen, L., Federer, F., Merlin, S., & Bressloff, P. C. (2017). Circuits and Mechanisms for Surround Modulation in Visual Cortex. Annual Review of Neuroscience, 40(1), 425–451. http://doi.org/10.1146/annurev-neuro-072116-031418

Arcaro, M. J., & Livingstone, M. S. (2017a). A hierarchical, retinotopic proto-organization of the primate visual system at birth. eLife, 6, e26196. http://doi.org/10.7554/eLife.26196

** Arcaro, M. J., & Livingstone, M. S. (2017b). Retinotopic Organization of Scene Areas in Macaque Inferior Temporal Cortex. The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, 37(31), 7373–7389. http://doi.org/10.1523/JNEUROSCI.0569-17.2017

Arriaga, M., & Han, E. B. (2017). Dedicated hippocampal inhibitory networks for locomotion and immobility. – PubMed – NCBI. Journal of Neuroscience, 1076–17. http://doi.org/10.1523/JNEUROSCI.1076-17.2017

Avitan, L., Pujic, Z., Mölter, J., Van De Poll, M., Sun, B., Teng, H., et al. (2017). Spontaneous Activity in the Zebrafish Tectum Reorganizes over Development and Is Influenced by Visual Experience. Current Biology, 0(0). http://doi.org/10.1016/j.cub.2017.06.056

Barak, O. (2017). Recurrent neural networks as versatile tools of neuroscience research. Current Opinion in Neurobiology, 46, 1–6. http://doi.org/10.1016/j.conb.2017.06.003

Barker, A. J., Helmbrecht, T. O., Grob, A. A., & Baier, H. (2017). Detection of whole-field luminance changes by superficial interneurons in the zebrafish tectum. bioRxiv, 178970. http://doi.org/10.1101/178970

  • Benichoux, V., Brown, A. D., Anbuhl, K. L., & Tollin, D. J. (2017). Representation of Multidimensional Stimuli: Quantifying the Most Informative Stimulus Dimension from Neural Responses. Journal of Neuroscience, 37(31), 7332–7346. http://doi.org/10.1523/JNEUROSCI.0318-17.2017

  • Bijanzadeh, M., Nurminen, L., Merlin, S., & Angelucci, A. (2017). Distinct Laminar Processing of Local and Global Context in Primate Primary Visual Cortex. bioRxiv, 171793. http://doi.org/10.1101/171793

  • Bloodgood, D. W., Sugam, J. A., Holmes, A., & Kash, T. L. (2017). Fear extinction requires infralimbic cortex projections to the basolateral amygdala. bioRxiv, 172791.

Bone, A., & Houck, K. (2017). Adverse Drug Reactions: The benefits of data mining. eLife, 6, e30280. http://doi.org/10.7554/eLife.30280

Bonner, M. F., & Epstein, R. A. (2017). Computational mechanisms underlying cortical responses to the affordance properties of visual scenes. bioRxiv, 177329. http://doi.org/10.1101/177329

  • Braem, S., De Houwer, J., Demanet, J., Yuen, K. S. L., Kalisch, R., & Brass, M. (2017). Pattern Analyses Reveal Separate Experience-Based Fear Memories in the Human Right Amygdala. Journal of Neuroscience, 37(34), 8116–8130. http://doi.org/10.1523/JNEUROSCI.0908-17.2017

Braun, A., Urai, A. E., & Donner, T. H. (2017). Confidence-dependent accumulation of past decision variables biases perceptual choice. bioRxiv, 172049. http://doi.org/10.1101/172049

Bray, N. (2017). Motor systems: Mice get manual. Nature Reviews. Neuroscience, 18(9), 512–512. http://doi.org/10.1038/nrn.2017.108

  • Bullock, K. R., Pieper, F., Sachs, A. J., & Martinez-Trujillo, J. C. (2017). Visual and presaccadic activity in area 8Ar of the macaque monkey lateral prefrontal cortex. Journal of Neurophysiology, 118(1), 15–28. http://doi.org/10.1152/jn.00278.2016

  • Chaffiol, A., Ishii, M., Cao, Y., & Mangel, S. C. (2017). Dopamine Regulation of GABAA Receptors Contributes to Light/Dark Modulation of the ON-Cone Bipolar Cell Receptive Field Surround in the Retina. Current Biology, 0(0). http://doi.org/10.1016/j.cub.2017.07.063

    ** Chamberland, S., Yang, H. H., Pan, M. M., Evans, S. W., Guan, S., Chavarha, M., et al. (2017). Fast two-photon imaging of subcellular voltage dynamics in neuronal tissue with genetically encoded indicators. eLife, 6, e25690. http://doi.org/10.7554/eLife.25690

  • Chan, K. Y., Jang, M. J., Yoo, B. B., Greenbaum, A., Ravi, N., Wu, W.-L., et al. (2017). Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems. Nature Neuroscience, 20(8), 1172–1179. http://doi.org/10.1038/nn.4593

  • Chen, C.-Y., Sonnenberg, L., Weller, S., Witschel, T., & Hafed, Z. M. (2017). Spatial vision by macaque midbrain. bioRxiv, 171645. http://doi.org/10.1101/171645

  • Clarke, L. E., & Liddelow, S. A. (2017). Neurobiology: Diversity reaches the stars. Nature, 548(7668), 396–397. http://doi.org/10.1038/548396a

  • Cohen, J. D., Bolstad, M., & Lee, A. K. (2017). Experience-dependent shaping of hippocampal CA1 intracellular activity in novel and familiar environments. eLife, 6, e23040. http://doi.org/10.7554/eLife.23040

Contreras, E. J. B., Chekhov, S., Tarnowsky, J., Sun, J., McNaughton, B. L., & Mohajerani, M. H. (2017). A high-performance, inexpensive setup for simultaneous multi-site recording of electrophysiological signals and wide-field optical imaging of the mouse cortex. bioRxiv, 177188. http://doi.org/10.1101/177188

  • Cortese, A., Amano, K., Koizumi, A., Lau, H., & Kawato, M. (2017). Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants. NeuroImage, 149, 323–337. http://doi.org/10.1016/j.neuroimage.2017.01.069

  • Cuthill, I. C., Allen, W. L., Arbuckle, K., Caspers, B., Chaplin, G., Hauber, M. E., et al. (2017). The biology of color. Science (New York, N.Y.), 357(6350), eaan0221. http://doi.org/10.1126/science.aan0221

  • Danielson, N. B., Turi, G. F., Ladow, M., Chavlis, S., Petrantonakis, P. C., Poirazi, P., & Losonczy, A. (2017). In Vivo Imaging of Dentate Gyrus Mossy Cells in Behaving Mice. Neuron, 93(3), 552–559.e4. http://doi.org/10.1016/j.neuron.2016.12.019

    ** David, S. V. (2017). Cognition: Neurons couple up to make decisions. Nature. http://doi.org/10.1038/nature23100

Del Vechio Koike, B., Farias, K. S., Billwiller, F., Almeida-Filho, D., Libourel, P.-A., Tiran-Cappello, A., et al. (2017). Electrophysiological Evidence That the Retrosplenial Cortex Displays a Strong and Specific Activation Phased with Hippocampal Theta during Paradoxical (REM) Sleep. Journal of Neuroscience, 37(33), 8003–8013. http://doi.org/10.1523/JNEUROSCI.0026-17.2017

  • Dillon, M. R., Persichetti, A. S., Spelke, E. S., & Dilks, D. D. (2017). Places in the Brain: Bridging Layout and Object Geometry in Scene-Selective Cortex. – PubMed – NCBI. Cerebral Cortex, 1–10. http://doi.org/10.1093/cercor/bhx139

Driscoll, L. N., Pettit, N. L., Minderer, M., Chettih, S. N., & Harvey, C. D. (2017). Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex. – PubMed – NCBI. Cell. http://doi.org/10.1016/j.cell.2017.07.021

Edwards, G., Vetter, P., McGruer, F., Petro, L. S., & Muckli, L. (2017). Predictive feedback to V1 dynamically updates with sensory input. bioRxiv, 180539. http://doi.org/10.1101/180539

Elsayed, G. F., & Cunningham, J. P. (2017). Structure in neural population recordings: an expected byproduct of simpler phenomena? Nature Neuroscience, 20(9), 1310–1318. http://doi.org/10.1038/nn.4617

Ester, E. F., Sprague, T. C., & Serences, J. T. (2017). Category learning biases sensory representations in visual cortex. bioRxiv, 170845. http://doi.org/10.1101/170845

Fernandez-Leon, J. A., Hansen, B. J., & Dragoi, V. (2017a). Representation of Rapid Image Sequences in V4 Networks. Cerebral Cortex (New York, N.Y. : 1991), 1–10. http://doi.org/10.1093/cercor/bhx146

Förster, D., Dal Maschio, M., Laurell, E., & Baier, H. (2017). An optogenetic toolbox for unbiased discovery of functionally connected cells in neural circuits. – PubMed – NCBI. Nature Communications, 8(1), 81. http://doi.org/10.1038/s41467-017-00160-z

Friedrich, J., Yang, W., Soudry, D., Mu, Y., Ahrens, M. B., Yuste, R., et al. (2017). Multi-scale approaches for high-speed imaging and analysis of large neural populations. PLoS Computational Biology, 13(8), e1005685. http://doi.org/10.1371/journal.pcbi.1005685

Gallego, J. A., Perich, M. G., Naufel, S. N., Ethier, C., Solla, S. A., & Miller, L. E. (2017). Multiple tasks viewed from the neural manifold: Stable control of varied behavior. bioRxiv, 176081. http://doi.org/10.1101/176081

** Goddard, E., Solomon, S. G., & Carlson, T. A. (2017). Dynamic population codes of multiplexed stimulus features in primate area MT. Journal of Neurophysiology, 118(1), 203–218. http://doi.org/10.1152/jn.00954.2016

  • Goldman, M. S., & Fee, M. S. (2017). Computational training for the next generation of neuroscientists. Current Opinion in Neurobiology, 46, 25–30. http://doi.org/10.1016/j.conb.2017.06.007

Gomez, J. L., Bonaventura, J., Lesniak, W., Mathews, W. B., Sysa-Shah, P., Rodriguez, L. A., et al. (2017). Chemogenetics revealed: DREADD occupancy and activation via converted clozapine. Science (New York, N.Y.), 357(6350), 503–507. http://doi.org/10.1126/science.aan2475

Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., et al. (2017). Precision Functional Mapping of Individual Human Brains. Neuron, 0(0), 249–258. http://doi.org/10.1016/j.neuron.2017.07.011

Green, A. A., Kim, J., Ma, D., Silver, P. A., Collins, J. J., & Yin, P. (2017). Complex cellular logic computation using ribocomputing devices. Nature, 12(7665), 381–121. http://doi.org/10.1038/nature23271

Grilli, J., Barabás, G., Michalska-Smith, M. J., & Allesina, S. (2017). Higher-order interactions stabilize dynamics in competitive network models. Nature, 75, 1527. http://doi.org/10.1038/nature23273

Gulbinaite, R., İlhan, B., & VanRullen, R. (2017). The Triple-Flash Illusion Reveals a Driving Role of Alpha-Band Reverberations in Visual Perception. Journal of Neuroscience, 37(30), 7219–7230. http://doi.org/10.1523/JNEUROSCI.3929-16.2017

Gutnisky, D. A., Yu, J., Hires, S. A., To, M.-S., Bale, M. R., Svoboda, K., & Golomb, D. (2017). Mechanisms underlying a thalamocortical transformation during active tactile sensation. PLoS Computational Biology, 13(6), e1005576. http://doi.org/10.1371/journal.pcbi.1005576

  • Hallum, L. E., Shooner, C., Kumbhani, R. D., Kelly, J. G., García-Marín, V., Majaj, N. J., et al. (2017). Altered Balance of Receptive Field Excitation and Suppression in Visual Cortex of Amblyopic Macaque Monkeys. Journal of Neuroscience, 37(34), 8216–8226. http://doi.org/10.1523/JNEUROSCI.0449-17.2017

Hashimotodani, Y., Nasrallah, K., Jensen, K. R., Chávez, A. E., Carrera, D., & Castillo, P. E. (2017). LTP at Hilar Mossy Cell-Dentate Granule Cell Synapses Modulates Dentate Gyrus Output by Increasing Excitation/Inhibition Balance. Neuron, 95(4), 928–943.e3. http://doi.org/10.1016/j.neuron.2017.07.028

*** Hasse, J. M., & Briggs, F. (2017). Corticogeniculate feedback sharpens the temporal precision and spatial resolution of visual signals in the ferret. Proceedings of the National Academy of Sciences of the United States of America, 114(30), E6222–E6230. http://doi.org/10.1073/pnas.1704524114

Helfrich, R. F., Huang, M., Wilson, G., & Knight, R. T. (2017). Prefrontal cortex modulates posterior alpha oscillations during top-down guided visual perception. Proceedings of the National Academy of Sciences of the United States of America, 114(35), 9457–9462. http://doi.org/10.1073/pnas.1705965114

Huang, C., & Doiron, B. (2017). Once upon a (slow) time in the land of recurrent neuronal networks…. Current Opinion in Neurobiology, 46, 31–38. http://doi.org/10.1016/j.conb.2017.07.003

** Huk, A. C., Katz, L. N., & Yates, J. L. (2017). The Role of the Lateral Intraparietal Area in (the Study of) Decision Making. Doi.org, 40(1), 349–372. http://doi.org/10.1146/annurev-neuro-072116-031508

Hyman, J. M., Holroyd, C. B., & Seamans, J. K. (2017). A Novel Neural Prediction Error Found in Anterior Cingulate Cortex Ensembles. Neuron, 0(0). http://doi.org/10.1016/j.neuron.2017.06.021

Iacaruso, M. F., Gasler, I. T., & Hofer, S. B. (2017). Synaptic organization of visual space in primary visual cortex. Nature, 547(7664), 449–452. http://doi.org/10.1038/nature23019

Inada, K., Tsuchimoto, Y., & Kazama, H. (2017). Origins of Cell-Type-Specific Olfactory Processing in the Drosophila Mushroom Body Circuit. Neuron, 95(2), 357–367.e4. http://doi.org/10.1016/j.neuron.2017.06.039

  • Is population activity more than the sum of its parts? (2017b). Is population activity more than the sum of its parts?, 20(9), 1196–1198. http://doi.org/10.1038/nn.4627

Ismakov, R., Barak, O., Jeffery, K., & Derdikman, D. (2017). Grid Cells Encode Local Positional Information. Current Biology, 0(0). http://doi.org/10.1016/j.cub.2017.06.034

  • Ito, S., Feldheim, D. A., & Litke, A. M. (2017). Segregation of Visual Response Properties in the Mouse Superior Colliculus and Their Modulation during Locomotion. Journal of Neuroscience, 37(35), 8428–8443. http://doi.org/10.1523/JNEUROSCI.3689-16.2017

  • Jenks, K. R., Kim, T., Pastuzyn, E. D., Okuno, H., Taibi, A. V., Bito, H., et al. (2017). Arc restores juvenile plasticity in adult mouse visual cortex. Proceedings of the National Academy of Sciences of the United States of America, 114(34), 9182–9187. http://doi.org/10.1073/pnas.1700866114

Jercog, D., Roxin, A., Barthó, P., Luczak, A., Compte, A., & la Rocha, de, J. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife, 6, e22425. http://doi.org/10.7554/eLife.22425

Jorstad, N. L., Wilken, M. S., Grimes, W. N., Wohl, S. G., VandenBosch, L. S., Yoshimatsu, T., et al. (2017). Stimulation of functional neuronal regeneration from Müller glia in adult mice. Nature. http://doi.org/10.1038/nature23283

Kaiser, D., Moeskops, M. M., & Cichy, R. M. (2017). Typical real-world locations impact the time course of object coding. bioRxiv, 177493. http://doi.org/10.1101/177493

Kato, H. K., Asinof, S. K., & Isaacson, J. S. (2017). Network-Level Control of Frequency Tuning in Auditory Cortex. Neuron, 1–17. http://doi.org/10.1016/j.neuron.2017.06.019

** Kim, H. R., Angelaki, D. E., & DeAngelis, G. C. (2017). Gain Modulation as a Mechanism for Coding Depth from Motion Parallax in Macaque Area MT. Journal of Neuroscience, 37(34), 8180–8197. http://doi.org/10.1523/JNEUROSCI.0393-17.2017

  • Kim, W. B., & Cho, J.-H. (2017). Encoding of Discriminative Fear Memory by Input-Specific LTP in the Amygdala. Neuron. http://doi.org/10.1016/j.neuron.2017.08.004

Kirschen, G. W., Shen, J., Tian, M., Schroeder, B., Wang, J., Man, G., et al. (2017). Active Dentate Granule Cells Encode Experience to Promote the Addition of Adult-Born Hippocampal Neurons. – PubMed – NCBI. Journal of Neuroscience, 37(18), 4661–4678. http://doi.org/10.1523/JNEUROSCI.3417-16.2017

Knudsen, E. I., Schwarz, J. S., Knudsen, P. F., & Sridharan, D. (2017). Space-Specific Deficits in Visual Orientation Discrimination Caused by Lesions in the Midbrain Stimulus Selection Network. Current Biology, 0(0). http://doi.org/10.1016/j.cub.2017.06.011

Kuramoto, E., Iwai, H., Yamanaka, A., Ohno, S., Seki, H., Tanaka, Y. R., et al. (2017). Dorsal and Ventral Parts of Thalamic Nucleus Submedius Project to Different Areas of Rat Orbitofrontal Cortex: A Single Neuron‐Tracing Study Using Virus Vectors. Journal of Comparative Neurology. http://doi.org/10.1002/cne.12646

Kwon, S. E., Tsytsarev, V., Erzurumlu, R. S., & O’Connor, D. H. (2017a). Organization of orientation-specific whisker deflection responses in layer 2/3 of mouse somatosensory cortex. Neuroscience. http://doi.org/10.1016/j.neuroscience.2017.07.067

Kwon, T., Sakamoto, M., Peterka, D. S., & Yuste, R. (2017b). Attenuation of Synaptic Potentials in Dendritic Spines. CellReports, 20(5), 1100–1110. http://doi.org/10.1016/j.celrep.2017.07.012

La Camera, G., Bouret, S., & Richmond, B. J. (2017). Contributions of different prefrontal cortical regions to abstract rule acquisition and reversal in monkeys. bioRxiv, 180893. http://doi.org/10.1101/180893

Ledoux, L.-P., Morency, F. C., Cousineau, M., Houde, J.-C., Whittingstall, K., & Descoteaux, M. (2017). Fiberweb: Diffusion Visualization and Processing in the Browser. Frontiers in Neuroinformatics, 11, 816. http://doi.org/10.3389/fninf.2017.00054

  • Leszczynski, M., Fell, J., Jensen, O., & Axmacher, N. (2017). Alpha activity in the ventral and dorsal visual stream controls information flow during working memory. bioRxiv, 180166. http://doi.org/10.1101/180166

Li, X., Cao, V. Y., Zhang, W., Mastwal, S. S., Liu, Q., Otte, S., & Wang, K. H. (2017a). Skin suturing and cortical surface viral infusion improves imaging of neuronal ensemble activity with head-mounted miniature microscopes. Journal of Neuroscience Methods. http://doi.org/10.1016/j.jneumeth.2017.08.016

Li, Y., Gong, H., Yang, X., Yuan, J., Jiang, T., Li, X., et al. (2017b). TDat: An Efficient Platform for Processing Petabyte-Scale Whole-Brain Volumetric Images. Frontiers in Neural Circuits, 11, 2033. http://doi.org/10.3389/fncir.2017.00051

Liu, J. K., Schreyer, H. M., Onken, A., Rozenblit, F., Khani, M. H., Krishnamoorthy, V., et al. (2017a). Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization. Nature Communications, 8(1), 149. http://doi.org/10.1038/s41467-017-00156-9

Liu, K., Kim, J., Kim, D. W., Zhang, Y. S., Bao, H., Denaxa, M., et al. (2017b). Lhx6-positive GABA-releasing neurons of the zona incerta promote sleep. Nature, 538, 51. http://doi.org/10.1038/nature23663

Livneh, Y., Ramesh, R. N., Burgess, C. R., Levandowski, K. M., Madara, J. C., Fenselau, H., et al. (2017). Homeostatic circuits selectively gate food cue responses in insular cortex. Nature, 546(7660), 611–616. http://doi.org/10.1038/nature22375

Lowet, E., Roberts, M. J., Peter, A., Gips, B., & De Weerd, P. (2017). A quantitative theory of gamma synchronization in macaque V1. eLife, 6, e26642. http://doi.org/10.7554/eLife.26642

** Majaj, N. J., & Pelli, D. G. (2017). Deep learning: Using machine learning to study biological vision. bioRxiv, 178152. http://doi.org/10.1101/178152

  • Majima, K., Sukhanov, P., Horikawa, T., & Kamitani, Y. (2017). Position Information Encoded by Population Activity in Hierarchical Visual Areas. Eneuro, 4(2), ENEURO.0268–16.2017. http://doi.org/10.1523/ENEURO.0268-16.2017

  • Manita, S., Miyakawa, H., Kitamura, K., & Murayama, M. (2017). Dendritic Spikes in Sensory Perception. Frontiers in Cellular Neuroscience, 11, 26. http://doi.org/10.3389/fncel.2017.00029

Mann, K., Gallen, C. L., & Clandinin, T. R. (2017). Whole-Brain Calcium Imaging Reveals an Intrinsic Functional Network in Drosophila. Current Biology, 0(0), 2389–2396.e4. http://doi.org/10.1016/j.cub.2017.06.076

Meyer, R., Ladenbauer, J., & Obermayer, K. (2017). The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding. Frontiers in Computational Neuroscience, 11, 2072. http://doi.org/10.3389/fncom.2017.00034

  • Minami, S., & Amano, K. (2017). Illusory Jitter Perceived at the Frequency of Alpha Oscillations. Current Biology, 0(0), 2344–2351.e4. http://doi.org/10.1016/j.cub.2017.06.033

Mokri, Y., Salazar, R. F., Goodell, B., Baker, J., Gray, C. M., & Yen, S.-C. (2017). Sorting Overlapping Spike Waveforms from Electrode and Tetrode Recordings. Frontiers in Neuroinformatics, 11, 129. http://doi.org/10.3389/fninf.2017.00053

Murty, N. A. R., & Arun, S. R. (2017). Effect of silhouetting and inversion on view invariance in the monkey inferotemporal cortex. Journal of Neurophysiology, 118(1), 353–362. http://doi.org/10.1152/jn.00008.2017

  • Navratil, O., Duris, K., Juran, V., Neuman, E., Svoboda, K., & Smrcka, M. (2017). Middle cerebral artery aneurysms with intracerebral hematoma-the impact of side and volume on final outcome. Acta Neurochirurgica, 159(3), 543–547. http://doi.org/10.1007/s00701-016-3070-3

    *** Nöbauer, T., Skocek, O., Pernía-Andrade, A. J., Weilguny, L., Traub, F. M., Molodtsov, M. I., & Vaziri, A. (2017). Video rate volumetric Ca(2+) imaging across cortex using seeded iterative demixing (SID) microscopy. Nature Methods, 14(8), 811–818. http://doi.org/10.1038/nmeth.4341

Ohshiro, T., Angelaki, D. E., & DeAngelis, G. C. (2017). A Neural Signature of Divisive Normalization at the Level of Multisensory Integration in Primate Cortex. Neuron, 95(2), 399–411.e8. http://doi.org/10.1016/j.neuron.2017.06.043

Orsborn, A. L., & Pesaran, B. (2017). Parsing learning in networks using brain–machine interfaces. Current Opinion in Neurobiology, 46, 76–83. http://doi.org/10.1016/j.conb.2017.08.002

Orsini, C. A., Hernandez, C. M., Singhal, S., Kelly, K. B., Frazier, C. J., Bizon, J. L., & Setlow, B. (2017). Optogenetic inhibition reveals distinct roles for basolateral amygdala activity at discrete timepoints during risky decision making. bioRxiv, 180885. http://doi.org/10.1101/180885

Peters, A. J., Lee, J., Hedrick, N. G., O’Neil, K., & Komiyama, T. (2017a). Reorganization of corticospinal output during motor learning. Nature Neuroscience, 57, 329. http://doi.org/10.1038/nn.4596

  • Peters, A. J., Liu, H., & Komiyama, T. (2017b). Learning in the Rodent Motor Cortex. Annual Review of Neuroscience, 40(1), 77–97. http://doi.org/10.1146/annurev-neuro-072116-031407

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