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Interesting Papers for Week 26, 2024
Glutamate inputs send prediction error of reward, but not negative value of aversive stimuli, to dopamine neurons. Amo, R., Uchida, N., & Watabe-Uchida, M. (2024). Neuron, 112(6), 1001-1019.e6.
Efficient coding of natural images in the mouse visual cortex. Bolaños, F., Orlandi, J. G., Aoki, R., Jagadeesh, A. V., Gardner, J. L., & Benucci, A. (2024). Nature Communications, 15, 2466.
Does phasic dopamine release cause policy updates? Carter, F., Cossette, M., Trujillo‐Pisanty, I., Pallikaras, V., Breton, Y., Conover, K., … Shizgal, P. (2024). European Journal of Neuroscience, 59(6), 1260–1277.
Tactile localization promotes infant self-recognition in the mirror-mark test. Chinn, L. K., Noonan, C. F., Patton, K. S., & Lockman, J. J. (2024). Current Biology, 34(6), 1370-1375.e2.
Comparison of head direction cell firing characteristics across thalamo‐parahippocampal circuitry. Clark, B. J., LaChance, P. A., Winter, S. S., Mehlman, M. L., Butler, W., LaCour, A., & Taube, J. S. (2024). Hippocampus, 34(4), 168–196.
Context memory formed in medial prefrontal cortex during infancy enhances learning in adulthood. Contreras, M. P., Mendez, M., Shan, X., Fechner, J., Sawangjit, A., Born, J., & Inostroza, M. (2024). Nature Communications, 15(1), 2475.
Retinal origin of orientation but not direction selective maps in the superior colliculus. de Malmazet, D., Kühn, N. K., Li, C., & Farrow, K. (2024). Current Biology, 34(6), 1222-1233.e7.
Memory-specific encoding activities of the ventral tegmental area dopamine and GABA neurons. Glykos, V., & Fujisawa, S. (2024). eLife, 12, e89743.3.
Cholinergic-Sensitive Theta Oscillations in Memory Encoding in Mice. Gu, Z., Stevanovic, K. D., Cushman, J. D., & Yakel, J. L. (2024). Journal of Neuroscience, 44(12), e1313232024.
Neural correlates of confidence during decision formation in a perceptual judgment task. Ko, Y. H., Zhou, A., Niessen, E., Stahl, J., Weiss, P. H., Hester, R., … Feuerriegel, D. (2024). Cortex, 173, 248–262.
Emergence of co-tuning in inhibitory neurons as a network phenomenon mediated by randomness, correlations, and homeostatic plasticity. Lagzi, F., & Fairhall, A. L. (2024). Science Advances, 10(12).
Differences in the expression of cortex-wide neural dynamics are related to behavioral phenotype. MacDowell, C. J., Briones, B. A., Lenzi, M. J., Gustison, M. L., & Buschman, T. J. (2024). Current Biology, 34(6), 1333-1340.e6.
Tracking subjects’ strategies in behavioural choice experiments at trial resolution. Maggi, S., Hock, R. M., O’Neill, M., Buckley, M., Moran, P. M., Bast, T., … Humphries, M. D. (2024). eLife, 13, e86491.
A septal-ventral tegmental area circuit drives exploratory behavior. Mocellin, P., Barnstedt, O., Luxem, K., Kaneko, H., Vieweg, S., Henschke, J. U., … Remy, S. (2024). Neuron, 112(6), 1020-1032.e7.
Learning high-level visual representations from a child’s perspective without strong inductive biases. Orhan, A. E., & Lake, B. M. (2024). Nature Machine Intelligence, 6(3), 271–283.
MTL neurons phase-lock to human hippocampal theta. Schonhaut, D. R., Rao, A. M., Ramayya, A. G., Solomon, E. A., Herweg, N. A., Fried, I., & Kahana, M. J. (2024). eLife, 13, e85753.
A cerebro-cerebellar network for learning visuomotor associations. Sendhilnathan, N., Bostan, A. C., Strick, P. L., & Goldberg, M. E. (2024). Nature Communications, 15, 2519.
Learning environment-specific learning rates. Simoens, J., Verguts, T., & Braem, S. (2024). PLOS Computational Biology, 20(3), e1011978.
A generative model of memory construction and consolidation. Spens, E., & Burgess, N. (2024). Nature Human Behaviour, 8(3), 526–543.
Functional specificity of recurrent inhibition in visual cortex. Znamenskiy, P., Kim, M.-H., Muir, D. R., Iacaruso, M. F., Hofer, S. B., & Mrsic-Flogel, T. D. (2024). Neuron, 112(6), 991-1000.e8.
#neuroscience#science#research#brain science#scientific publications#cognitive science#neurobiology#cognition#psychophysics#neurons#neural computation#neural networks#computational neuroscience
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First stage: (A-1, B-2, C-3, D-4, E-5, F-6, G-7, H-8, I-9. J-10, K-11, L-12, M-13, N-14, O-15, P-16, Q-17, R-18, S-19, T-20, U,21, V-22, W-23, X-24, Y-25, Z-26). Second stage: (A-6, B-12, C-18, D-24, E-30, F-36, G-42, H-48, I-54, J-60, K-66, L-72, M-78, N-84, O-90, P-96, Q-102, R-108, S-114, T-120, U-126, V-132, W-138, X-144, Y-150, Z-156). Third stage: (A-6, B-18, C-36, D-60, E-90, F-126, G-168, H-216, I-270, J-330, K-396, L-468, M-546, N-630, O-720, P-816, Q-918, R-1026, S-1140, T-1260, U-1386, V-1518, W-1656, X-1800, Y-1950, Z-2106). (at San Diego, California)
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Interesting Papers for Week 46, 2017
Detecting changes in dynamic and complex acoustic environments. Boubenec, Y., Lawlor, J., Górska, U., Shamma, S., & Englitz, B. (2017). eLife, 6(e24910).
Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Cazé, R. D., Jarvis, S., Foust, A. J., & Schultz, S. R. (2017). Neural Computation, 29(9), 2511–2527.
Cortical amplification models of experience-dependent development of selective columns and response sparsification. Christie, I. K., Miller, P., & Van Hooser, S. D. (2017). Journal of Neurophysiology, 118(2), 874–893.
Structure in neural population recordings: an expected byproduct of simpler phenomena? Elsayed, G. F., & Cunningham, J. P. (2017). Nature Neuroscience, 20(9), 1310–1318.
Neural reactivations during sleep determine network credit assignment. Gulati, T., Guo, L., Ramanathan, D. S., Bodepudi, A., & Ganguly, K. (2017). Nature Neuroscience, 20(9), 1277–1284.
Prefrontal cortex modulates posterior alpha oscillations during top-down guided visual perception. Helfrich, R. F., Huang, M., Wilson, G., & Knight, R. T. (2017). Proceedings of the National Academy of Sciences of the United States of America, 114(35), 9457–9462.
People learn other people’s preferences through inverse decision-making. Jern, A., Lucas, C. G., & Kemp, C. (2017). Cognition, 168, 46–64.
Cortical Spike Synchrony as a Measure of Input Familiarity. Korndörfer, C., Ullner, E., García-Ojalvo, J., & Pipa, G. (2017). Neural Computation, 29(9), 2491–2510.
Adults with autism overestimate the volatility of the sensory environment. Lawson, R. P., Mathys, C., & Rees, G. (2017). Nature Neuroscience, 20(9), 1293–1299.
Recurrent Information Optimization with Local, Metaplastic Synaptic Dynamics. Liu, S., & Ching, S. (2017). Neural Computation, 29(9), 2528–2552.
Dorsal hippocampus contributes to model-based planning. Miller, K. J., Botvinick, M. M., & Brody, C. D. (2017). Nature Neuroscience, 20(9), 1269–1276.
A circuit-based mechanism underlying familiarity signaling and the preference for novelty. Molas, S., Zhao-Shea, R., Liu, L., DeGroot, S. R., Gardner, P. D., & Tapper, A. R. (2017). Nature Neuroscience, 20(9), 1260–1268.
The visual system encodes others’ direction of gaze in a first-person frame of reference. Palmer, C. J., & Clifford, C. W. G. (2017). Cognition, 168, 256–266.
Stochastic feeding dynamics arise from the need for information and energy. Scholz, M., Dinner, A. R., Levine, E., & Biron, D. (2017). Proceedings of the National Academy of Sciences of the United States of America, 114(35), 9261–9266.
The stochastic nature of action potential backpropagation in apical tuft dendrites. Short, S. M., Oikonomou, K. D., Zhou, W.-L., Acker, C. D., Popovic, M. A., Zecevic, D., & Antic, S. D. (2017). Journal of Neurophysiology, 118(2), 1394–1414.
Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics. Sokoloski, S. (2017). Neural Computation, 29(9), 2450–2490.
Dendritic calcium spikes are clearly detectable at the cortical surface. Suzuki, M., & Larkum, M. E. (2017). Nature Communications, 8, 276.
Predicting actions from subtle preparatory movements. Vaziri-Pashkam, M., Cormiea, S., & Nakayama, K. (2017). Cognition, 168, 65–75.
Superior colliculus encodes visual saliency before the primary visual cortex. White, B. J., Kan, J. Y., Levy, R., Itti, L., & Munoz, D. P. (2017). Proceedings of the National Academy of Sciences of the United States of America, 114(35), 9451–9456.
Functional dissection of signal and noise in MT and LIP during decision-making. Yates, J. L., Park, I. M., Katz, L. N., Pillow, J. W., & Huk, A. C. (2017). Nature Neuroscience, 20(9), 1285–1292.
#science#Neuroscience#neurobiology#research#Brain science#computational neuroscience#cognitive science#cognition#scientific publications#machine learning#psychophysics
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