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» Modeling Neural Processes in Lindenmayer Systems
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99
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TNN
1998
114views more  TNN 1998»
15 years 2 days ago
A new approach to artificial neural networks
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...
Benedito Dias Baptista F. Filho, Eduardo Lobo Lust...
155
Voted
NCI
2004
198views Neural Networks» more  NCI 2004»
15 years 1 months ago
A "spiking" bidirectional associative memory for modeling intermodal priming
Starting from a modular artificial neural system modelling the integration of several perceptive stimuli, this article proposes a new implementation of the central module performi...
David Meunier, Hélène Paugam-Moisy
NIPS
2004
15 years 1 months ago
Synchronization of neural networks by mutual learning and its application to cryptography
Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cr...
Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas...
ICASSP
2010
IEEE
15 years 19 days ago
A parallel point-process filter for estimation of goal-directed movements from neural signals
Brain machine interfaces work by mapping the relevant neural activity to the intended movement known as ‘decoding’. Here, we develop a recursive Bayesian decoder for goaldirec...
Maryam Modir Shanechi, Gregory W. Wornell, Ziv Wil...
160
Voted
CAINE
2010
14 years 10 months ago
Real-Time Emotional Speech Processing for Neurorobotics Applications
The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the un...
Corey M. Thibeault, Oscar Sessions, Philip H. Good...