Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Christo Panchev
2000 – 2009
- 2009
[j8]John G. Taylor, Matthew Hartley, Neill R. Taylor, Christo Panchev, Stathis Kasderidis: A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning. Image Vision Comput. 27(11): 1641-1657 (2009)- 2007
- [j7]Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, attention and object representations. Integrated Computer-Aided Engineering 14(4): 283-306 (2007)
- [j6]
- [c12]Garen Arevian, Christo Panchev: Robust Text Classification Using a Hysteresis-Driven Extended SRN. ICANN (2) 2007: 425-434
- [c11]Christo Panchev: An Oscillatory Model for Multimodal Processing of Short Language Instructions. ICANN (2) 2007: 943-952
- [c10]Garen Arevian, Christo Panchev: Optimising the Hystereses of a Two Context Layer RNN for Text Classification. IJCNN 2007: 2936-2941
- 2006
- [j5]Christo Panchev, Stefan Wermter: Temporal sequence detection with spiking neurons: towards recognizing robot language instructions. Connect. Sci. 18(1): 1-22 (2006)
- [c9]Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, Attention and Object Representations. ICANN (1) 2006: 592-601
- [c8]Christo Panchev: Temporal Processing in a Spiking Model of the Visual System. ICANN (1) 2006: 750-759
- 2005
- [c7]Kaustubh Chokshi, Stefan Wermter, Christo Panchev, Kevin Burn: Image Invariant Robot Navigation Based on Self Organising Neural Place Codes. Biomimetic Neural Learning for Intelligent Robots 2005: 88-106
- [c6]Christo Panchev: A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions. Biomimetic Neural Learning for Intelligent Robots 2005: 182-210
- 2004
- [j4]Christo Panchev, Stefan Wermter: Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. Neurocomputing 58-60: 365-371 (2004)
- [j3]Stefan Wermter, Cornelius Weber, Mark Elshaw, Christo Panchev, Harry R. Erwin, Friedemann Pulvermüller: Towards multimodal neural robot learning. Robotics and Autonomous Systems 47(2-3): 171-175 (2004)
- 2003
- [j2]Garen Arevian, Stefan Wermter, Christo Panchev: Symbolic state transducers and recurrent neural preference machines for text mining. Int. J. Approx. Reasoning 32(2-3): 237-258 (2003)
- 2002
- [j1]Stefan Wermter, Christo Panchev: Hybrid preference machines based on inspiration from neuroscience. Cognitive Systems Research 3(2): 255-270 (2002)
- [c5]Christo Panchev, Stefan Wermter, Huixin Chen: Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. ICANN 2002: 896-901
- 2000
- [c4]Christo Panchev, Stefan Wermter: Complex Preferences for the Integration of Neural Codes. IJCNN (2) 2000: 253-258
- [c3]Stefan Wermter, Christo Panchev, Garen Arevian: Meaning Spotting and Robustness of Recurrent Networks. IJCNN (3) 2000: 433-438
1990 – 1999
- 1999
- [c2]Stefan Wermter, Christo Panchev, Garen Arevian: Hybrid Neural Plausibility Networks for News Agents. AAAI/IAAI 1999: 93-98
- 1998
- [c1]Stefan Wermter, Garen Arevian, Christo Panchev: Towards Hybrid Neural Learning Internet Agents. Hybrid Neural Systems 1998: 158-174
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-11 09:51 CEST by the dblp team