Systems and apparatus for implementing task-specific learning using spiking neurons O Sinyavskiy, O Coenen US Patent 9,146,546, 2015 | 151 | 2015 |
Stochastic apparatus and methods for implementing generalized learning rules O Sinyavskiy, OJMD Coenen US Patent 9,104,186, 2015 | 132 | 2015 |
A real-time spiking cerebellum model for learning robot control RR Carrillo, E Ros, C Boucheny, JMDC Olivier Biosystems 94 (1-2), 18-27, 2008 | 125 | 2008 |
Spiking neuron network adaptive control apparatus and methods O Coenen, O Sinyavskiy US Patent 9,367,798, 2016 | 123 | 2016 |
Learning stochastic apparatus and methods O Sinyavskiy, O Coenen US Patent App. 13/487,621, 2013 | 123 | 2013 |
Perception of the structure of the physical world using unknown multimodal sensors and effectors D Philipona, J O'regan, JP Nadal, O Coenen Advances in neural information processing systems 16, 2003 | 103 | 2003 |
Apparatus and methods for reinforcement-guided supervised learning F Ponulak, JB Passot, E Izhikevich, O Coenen US Patent 9,008,840, 2015 | 100 | 2015 |
Interaction forces between red cells agglutinated by antibody. IV. Time and force dependence of break-up DF Tees, O Coenen, HL Goldsmith Biophysical journal 65 (3), 1318-1334, 1993 | 100 | 1993 |
Robotic training apparatus and methods O Coenen US Patent 8,996,177, 2015 | 73 | 2015 |
How synaptic release probability shapes neuronal transmission: information-theoretic analysis in a cerebellar granule cell A Arleo, T Nieus, M Bezzi, A d'Errico, E d'Angelo, OJMD Coenen Neural computation 22 (8), 2031-2058, 2010 | 56 | 2010 |
Modulated stochasticity spiking neuron network controller apparatus and methods O Coenen, O Sinyavskiy, V Polonichko US Patent 9,189,730, 2015 | 51 | 2015 |
Cerebellarlike corrective model inference engine for manipulation tasks NR Luque, JA Garrido, RR Carrillo, JMDC Olivier, E Ros IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 50 | 2011 |
Cerebellar input configuration toward object model abstraction in manipulation tasks NR Luque, JA Garrido, RR Carrillo, JMDC Olivier, E Ros IEEE Transactions on Neural Networks 22 (8), 1321-1328, 2011 | 48 | 2011 |
Real-time spiking neural network: An adaptive cerebellar model C Boucheny, R Carrillo, E Ros, OJMD Coenen International Work-Conference on Artificial Neural Networks, 136-144, 2005 | 46 | 2005 |
Parallel fiber coding in the cerebellum for life-long learning OJMD Coenen, MP Arnold, TJ Sejnowski, MA Jabri Autonomous robots 11, 291-297, 2001 | 41 | 2001 |
Proportional-integral-derivative controller effecting expansion kernels comprising a plurality of spiking neurons associated with a plurality of receptive fields O Coenen US Patent 9,082,079, 2015 | 32 | 2015 |
Model of granular layer encoding in the cerebellum D Philipona, JMDC Olivier Neurocomputing 58, 575-580, 2004 | 28 | 2004 |
An integrate-and-fire model of a cerebellar granule cell M Bezzi, T Nieus, OJM Coenen, E D'Angelo Neurocomputing 58, 593-598, 2004 | 24 | 2004 |
A dynamical model of context dependencies for the vestibulo-ocular reflex O Coenen, TJ Sejnowski Advances in neural information processing systems 8, 1995 | 19 | 1995 |
Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum E D’Angelo, T Nieus, M Bezzi, A Arleo, OJMD Coenen International Work-Conference on Artificial Neural Networks, 107-114, 2005 | 18 | 2005 |