Interesting Papers for Week 22, 2012
Analysis of a Random Forests Model. Biau, G. (2012). Journal of Machine Learning Research, 13(April), 1063−1095.
The effect of neural adaptation on population coding accuracy. Cortes, J. M., Marinazzo, D., Series, P., Oram, M. W., Sejnowski, T. J., & Rossum, M. C. W. (2012). Journal of Computational Neuroscience, 32(3), 387-402.
Sequence learning and the role of the hippocampus in rodent navigation. Foster, D. J., & Knierim, J. J. (2012). Current Opinion in Neurobiology, 22(2), 294-300.
Action controls dopaminergic enhancement of reward representations. Guitart-Masip, M., Chowdhury, R., Sharot, T., Dayan, P., Duzel, E., & Dolan, R. J. (2012). Proceedings of the National Academy of Sciences of the United States of America, 109(19), 7511-7516.
Plasticity in d1-like receptor expression is associated with different components of cognitive processes. Herold, C., Joshi, I., Chehadi, O., Hollmann, M., & Güntürkün, O. (2012). PLoS ONE, 7(5), e36484.
Perceptual learning, roving and the unsupervised bias. Herzog, M. H., Aberg, K. C., Frémaux, N., Gerstner, W., & Sprekeler, H. (2012). Vision Research, 61, 95–99.
Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward. Li, N., & DiCarlo, J. J. (2012). Journal of Neuroscience, 32(19), 6611-6620.
Clonally related visual cortical neurons show similar stimulus feature selectivity. Li, Y., Lu, H., Cheng, P.-lin, Ge, S., Xu, H., Shi, S.-H., & Dan, Y. (2012). Nature, advanced online.
Dynamics of unconscious contextual effects in orientation processing. Mareschal, I., & Clifford, C. W. G. (2012). Proceedings of the National Academy of Sciences of the United States of America, 109(19), 7553-7558.
Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. Masquelier, T. (2012). Journal of Computational Neuroscience, 32(3), 425-441.
Bayesian Defogging. Nishino, K., Kratz, L., & Lombardi, S. (2011). International Journal of Computer Vision, 98(3), 263-278.
Fast visual prediction and slow optimization of preferred walking speed. O’Connor, S. M., & Donelan, J. M. (2012). Journal of Neurophysiology, 107(9), 2549-2559.
Influence Fields: A Quantitative Framework for the Representation and Analysis of Active Dendrites. Rathour, R. K., & Narayanan, R. (2012). Journal of Neurophysiology, 107(9), 2313-2334.
Dynamic integration of information about salience and value for saccadic eye movements. Schütz, A. C., Trommershäuser, J., & Gegenfurtner, K. R. (2012). Proceedings of the National Academy of Sciences of the United States of America, 109(19), 7547-7552.
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. Shen, C., Kim, J., Wang, L., & van den Hengel, A. (2012). Journal of Machine Learning Research, 13(April), 1007−1036.
Bats use a neuronally implemented computational acoustic model to form sonar images. Simmons, J. A. (2012). Current Opinion in Neurobiology, 22(2), 311-319.
Dopaminergic Mechanisms of Individual Differences in Human Effort-Based Decision-Making. Treadway, M. T., Buckholtz, J. W., Cowan, R. L., Woodward, N. D., Li, R., Ansari, M. S., Baldwin, R. M., et al. (2012). Journal of Neuroscience, 32(18), 6170-6176.
Population coding in sparsely connected networks of noisy neurons. Tripp, B. P., & Orchard, J. (2012). Frontiers in Computational Neuroscience, 6, 23.
Long-Lasting Potentiation of Hippocampal Synaptic Transmission by Direct Cortical Input Is Mediated via Endocannabinoids. Xu, J.-Y., Zhang, J., & Chen, C. (2012). Journal of Physiology, 590(Pt 10), 2305-15.
Recurrent coupling improves discrimination of temporal spike patterns. Yuan, C.-W., & Leibold, C. (2012). Frontiers in Computational Neuroscience, 6, 25.