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In this paper we present a biologically inspired rotationally-invariant end-to-end recognition system demonstrated in hardware with a bitmap camera and a Field Programmable Gate Array (FPGA). The system integrates the Ripple Pond Network (RPN), a neural network that performs image transformation from two dimensions to one dimensional rotationally invariant temporal patterns (TPs), and the Synaptic...
In this paper we present the Synaptic Kernel Adaptation Network (SKAN) circuit, a dynamic circuit that implements Spike Timing Dependent Plasticity (STDP), not by adjusting synaptic weights but via dynamic synaptic kernels. SKAN performs unsupervised learning of the commonest spatio-temporal pattern of input spikes using simple analog or digital circuits. It features tunable robustness to temporal...
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