Data processing: artificial intelligence – Neural network – Structure
Reexamination Certificate
2003-12-30
2008-08-12
Vincent, David R. (Department: 2129)
Data processing: artificial intelligence
Neural network
Structure
C706S006000, C706S025000, C706S015000, C977S700000, C977S712000, C977S742000
Reexamination Certificate
active
07412428
ABSTRACT:
Methods and systems are disclosed herein in which a physical neural network can be configured utilizing nanotechnology. Such a physical neural network can comprise a plurality of molecular conductors (e.g., nanoconductors) which form neural connections between pre-synaptic and post-synaptic components of the physical neural network. Additionally, a learning mechanism can be applied for implementing Hebbian learning via the physical neural network. Such a learning mechanism can utilize a voltage gradient or voltage gradient dependencies to implement Hebbian and/or anti-Hebbian plasticity within the physical neural network. The learning mechanism can also utilize pre-synaptic and post-synaptic frequencies to provide Hebbian and/or anti-Hebbian learning within the physical neural network.
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