317 | -- | 318 | J. Leo van Hemmen, Walter Senn. Hebb in perspective |
333 | -- | 343 | Michael P. Kilgard, Pritesh K. Pandya, Navzer D. Engineer, Raluca Moucha. Cortical network reorganization guided by sensory input features |
344 | -- | 355 | Walter Senn. Beyond spike timing: the role of nonlinear plasticity and unreliable synapses |
356 | -- | 372 | Colin Lever, Neil Burgess, Francesca Cacucci, Tom Hartley, John O Keefe. What can the hippocampal representation of environmental geometry tell us about Hebbian learning? |
373 | -- | 382 | Uma R. Karmarkar, Mark T. Najarian, Dean V. Buonomano. Mechanisms and significance of spike-timing dependent plasticity |
383 | -- | 391 | Harel Z. Shouval, Gastone C. Castellani, Brian S. Blais, Luk-Chong Yeung, Leon N. Cooper. Converging evidence for a simplified biophysical model of synaptic plasticity |
392 | -- | 403 | Patrick D. Roberts, Curtis C. Bell. Spike timing dependent synaptic plasticity in biological systems |
404 | -- | 415 | Wulfram Gerstner, Werner M. Kistler. Mathematical formulations of Hebbian learning |
416 | -- | 427 | Werner M. Kistler. Spike-timing dependent synaptic plasticity: a phenomenological framework |
428 | -- | 439 | Christian Leibold, J. Leo van Hemmen. Mapping time |
440 | -- | 445 | Roland E. Suri, Terrence J. Sejnowski. Spike propagation synchronized by temporally asymmetric Hebbian learning |
446 | -- | 458 | Ádám Kepecs, Mark C. W. van Rossum, Sen Song, Jesper Tegnér. Spike-timing-dependent plasticity: common themes and divergent vistas |
459 | -- | 470 | Stefano Fusi. Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates |
471 | -- | 481 | Jesper Tegnér, Albert Compte, Xiao-Jing Wang. The dynamical stability of reverberatory neural circuits |