Year |
Citation |
Score |
2019 |
Jain S, Ankit A, Chakraborty I, Gokmen T, Rasch M, Haensch W, Roy K, Raghunathan A. Neural network accelerator design with resistive crossbars: Opportunities and challenges Ibm Journal of Research and Development. 63: 10:1-10:13. DOI: 10.1147/Jrd.2019.2947011 |
0.306 |
|
2018 |
Yin L, Zheng R, Ke W, He Q, Zhang Y, Li J, Wang B, Mi Z, Long YS, Rasch MJ, Li T, Luan G, Shu Y. Autapses enhance bursting and coincidence detection in neocortical pyramidal cells. Nature Communications. 9: 4890. PMID 30459347 DOI: 10.1038/S41467-018-07317-4 |
0.301 |
|
2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Rasch MJ, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.684 |
|
2016 |
Dahl CD, Rasch MJ, Bülthoff I, Chen CC. Integration or separation in the processing of facial properties - a computational view. Scientific Reports. 6: 20247. PMID 26829891 DOI: 10.1038/Srep20247 |
0.729 |
|
2016 |
Zhang WH, Chen A, Rasch MJ, Wu S. Decentralized Multisensory Information Integration in Neural Systems. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 532-47. PMID 26758843 DOI: 10.1523/Jneurosci.0578-15.2016 |
0.579 |
|
2015 |
Wang T, Yin L, Zou X, Shu Y, Rasch MJ, Wu S. A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release. Frontiers in Computational Neuroscience. 9: 153. PMID 26834617 DOI: 10.3389/Fncom.2015.00153 |
0.443 |
|
2015 |
Chen G, Rasch MJ, Wang R, Zhang XH. Experience-dependent emergence of beta and gamma band oscillations in the primary visual cortex during the critical period. Scientific Reports. 5: 17847. PMID 26648548 DOI: 10.1038/Srep17847 |
0.328 |
|
2015 |
Yin L, Rasch MJ, He Q, Wu S, Dou F, Shu Y. Selective Modulation of Axonal Sodium Channel Subtypes by 5-HT1A Receptor in Cortical Pyramidal Neuron. Cerebral Cortex (New York, N.Y. : 1991). PMID 26494800 DOI: 10.1093/Cercor/Bhv245 |
0.437 |
|
2015 |
Zhang D, Wu S, Rasch MJ. Circuit motifs for contrast-adaptive differentiation in early sensory systems: the role of presynaptic inhibition and short-term plasticity. Plos One. 10: e0118125. PMID 25723493 DOI: 10.1371/Journal.Pone.0118125 |
0.464 |
|
2015 |
Huang X, Zheng Z, Hu G, Wu S, Rasch MJ. Different propagation speeds of recalled sequences in plastic spiking neural networks New Journal of Physics. 17: 035006. DOI: 10.1088/1367-2630/17/3/035006 |
0.485 |
|
2014 |
Dahl CD, Chen CC, Rasch MJ. Own-race and own-species advantages in face perception: a computational view. Scientific Reports. 4: 6654. PMID 25323815 DOI: 10.1038/Srep06654 |
0.732 |
|
2014 |
Dahl CD, Rasch MJ, Chen CC. The other-race and other-species effects in face perception - a subordinate-level analysis. Frontiers in Psychology. 5: 1068. PMID 25285092 DOI: 10.3389/Fpsyg.2014.01068 |
0.733 |
|
2014 |
Yan Y, Rasch MJ, Chen M, Xiang X, Huang M, Wu S, Li W. Perceptual training continuously refines neuronal population codes in primary visual cortex. Nature Neuroscience. 17: 1380-7. PMID 25195103 DOI: 10.1038/Nn.3805 |
0.491 |
|
2014 |
Chen XJ, Rasch MJ, Chen G, Ye CQ, Wu S, Zhang XH. Binocular input coincidence mediates critical period plasticity in the mouse primary visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 2940-55. PMID 24553935 DOI: 10.1523/Jneurosci.2640-13.2014 |
0.478 |
|
2013 |
Zhang D, Li Y, Wu S, Rasch MJ. Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila. Frontiers in Computational Neuroscience. 7: 141. PMID 24167488 DOI: 10.3389/Fncom.2013.00141 |
0.497 |
|
2013 |
Dahl CD, Rasch MJ, Tomonaga M, Adachi I. The face inversion effect in non-human primates revisited - an investigation in chimpanzees (Pan troglodytes). Scientific Reports. 3: 2504. PMID 23978930 DOI: 10.1038/Srep02504 |
0.729 |
|
2013 |
Dahl CD, Rasch MJ, Tomonaga M, Adachi I. Laterality effect for faces in chimpanzees (Pan troglodytes). The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 13344-9. PMID 23946392 DOI: 10.1523/Jneurosci.0590-13.2013 |
0.729 |
|
2013 |
Zhang D, Li Y, Rasch MJ, Wu S. Nonlinear multiplicative dendritic integration in neuron and network models. Frontiers in Computational Neuroscience. 7: 56. PMID 23658543 DOI: 10.3389/Fncom.2013.00056 |
0.495 |
|
2013 |
Dahl CD, Rasch MJ, Tomonaga M, Adachi I. Developmental processes in face perception. Scientific Reports. 3: 1044. PMID 23304435 DOI: 10.1038/Srep01044 |
0.729 |
|
2013 |
Rasch MJ, Chen M, Wu S, Lu HD, Roe AW. Quantitative inference of population response properties across eccentricity from motion-induced maps in macaque V1. Journal of Neurophysiology. 109: 1233-49. PMID 23197457 DOI: 10.1152/Jn.00673.2012 |
0.44 |
|
2011 |
Rasch MJ, Schuch K, Logothetis NK, Maass W. Statistical comparison of spike responses to natural stimuli in monkey area V1 with simulated responses of a detailed laminar network model for a patch of V1. Journal of Neurophysiology. 105: 757-78. PMID 21106898 DOI: 10.1152/Jn.00845.2009 |
0.63 |
|
2009 |
Rasch M, Logothetis NK, Kreiman G. From neurons to circuits: linear estimation of local field potentials. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 13785-96. PMID 19889990 DOI: 10.1523/Jneurosci.2390-09.2009 |
0.49 |
|
2008 |
Montemurro MA, Rasch MJ, Murayama Y, Logothetis NK, Panzeri S. Phase-of-firing coding of natural visual stimuli in primary visual cortex. Current Biology : Cb. 18: 375-80. PMID 18328702 DOI: 10.1016/J.Cub.2008.02.023 |
0.602 |
|
2008 |
Rasch MJ, Gretton A, Murayama Y, Maass W, Logothetis NK. Inferring spike trains from local field potentials. Journal of Neurophysiology. 99: 1461-76. PMID 18160425 DOI: 10.1152/Jn.00919.2007 |
0.664 |
|
2006 |
Wiskott L, Rasch MJ, Kempermann G. A functional hypothesis for adult hippocampal neurogenesis: avoidance of catastrophic interference in the dentate gyrus. Hippocampus. 16: 329-43. PMID 16435309 DOI: 10.1002/Hipo.20167 |
0.608 |
|
Low-probability matches (unlikely to be authored by this person) |
2017 |
Li Y, Xu J, Liu Y, Zhu J, Liu N, Zeng W, Huang N, Rasch MJ, Jiang H, Gu X, Li X, Luo M, Li C, Teng J, Chen J, et al. A distinct entorhinal cortex to hippocampal CA1 direct circuit for olfactory associative learning. Nature Neuroscience. PMID 28263300 DOI: 10.1038/Nn.4517 |
0.291 |
|
2017 |
Chen G, Zhang Y, Li X, Zhao X, Ye Q, Lin Y, Tao HW, Rasch MJ, Zhang X. Distinct Inhibitory Circuits Orchestrate Cortical beta and gamma Band Oscillations. Neuron. 96: 1403-1418.e6. PMID 29268099 DOI: 10.1016/J.Neuron.2017.11.033 |
0.281 |
|
2016 |
Miao Q, Yao L, Rasch MJ, Ye Q, Li X, Zhang X. Selective Maturation of Temporal Dynamics of Intracortical Excitatory Transmission at the Critical Period Onset. Cell Reports. PMID 27477277 DOI: 10.1016/J.Celrep.2016.07.013 |
0.279 |
|
2019 |
Rasch MJ, Gokmen T, Rigotti M, Haensch W. RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays. Frontiers in Neuroscience. 13: 753. PMID 31417340 DOI: 10.3389/Fnins.2019.00753 |
0.278 |
|
2018 |
Gokmen T, Rasch MJ, Haensch W. Training LSTM Networks With Resistive Cross-Point Devices. Frontiers in Neuroscience. 12: 745. PMID 30405334 DOI: 10.3389/Fnins.2018.00745 |
0.274 |
|
2020 |
Rasch MJ, Gokmen T, Haensch W. Training Large-scale Artificial Neural Networks on Simulated Resistive Crossbar Arrays Ieee Design & Test. 37: 19-29. DOI: 10.1109/Mdat.2019.2952341 |
0.272 |
|
2006 |
Borgwardt KM, Gretton A, Rasch MJ, Kriegel HP, Schölkopf B, Smola AJ. Integrating structured biological data by Kernel Maximum Mean Discrepancy. Bioinformatics (Oxford, England). 22: e49-57. PMID 16873512 DOI: 10.1093/Bioinformatics/Btl242 |
0.234 |
|
2005 |
Höfer T, Rasch MJ. On the kinetic design of transcription. Genome Informatics. International Conference On Genome Informatics. 16: 73-82. PMID 16362909 DOI: 10.11234/Gi1990.16.73 |
0.212 |
|
2023 |
Rasch MJ, Mackin C, Le Gallo M, Chen A, Fasoli A, Odermatt F, Li N, Nandakumar SR, Narayanan P, Tsai H, Burr GW, Sebastian A, Narayanan V. Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. Nature Communications. 14: 5282. PMID 37648721 DOI: 10.1038/s41467-023-40770-4 |
0.187 |
|
2021 |
Spoon K, Tsai H, Chen A, Rasch MJ, Ambrogio S, Mackin C, Fasoli A, Friz AM, Narayanan P, Stanisavljevic M, Burr GW. Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers in Computational Neuroscience. 15: 675741. PMID 34290595 DOI: 10.3389/fncom.2021.675741 |
0.142 |
|
2022 |
Mackin C, Rasch MJ, Chen A, Timcheck J, Bruce RL, Li N, Narayanan P, Ambrogio S, Le Gallo M, Nandakumar SR, Fasoli A, Luquin J, Friz A, Sebastian A, Tsai H, et al. Optimised weight programming for analogue memory-based deep neural networks. Nature Communications. 13: 3765. PMID 35773285 DOI: 10.1038/s41467-022-31405-1 |
0.139 |
|
2024 |
Stecconi T, Bragaglia V, Rasch MJ, Carta F, Horst F, Falcone DF, Ten Kate SC, Gong N, Ando T, Olziersky A, Offrein B. Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm. Nano Letters. PMID 38205713 DOI: 10.1021/acs.nanolett.3c03697 |
0.121 |
|
Hide low-probability matches. |