Title :
Time Encoding Machines With Multiplicative Coupling, Feedforward, and Feedback
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY
Abstract :
We introduce a novel class of time encoding machines (TEMs) that exhibit multiplicative coupling, and, feedforward and feedback. We show that a machine with multiplicative coupling is I/O equivalent with an integrate-and-fire neuron with a variable threshold sequence. The same result holds for a TEM with feedforward while a machine with feedback is I/O equivalent with an asynchronous sigma/delta modulator with variable thresholds. For all TEMs, an input band-limited signal can be perfectly recovered from the zero crossings of the modulated signal and the threshold sequence. We present the optimal decoding algorithm and give conditions for perfect signal recovery
Keywords :
encoding; feedforward neural nets; multiplying circuits; sigma-delta modulation; signal restoration; TEM; asynchronous sigma/delta modulator; feedback; feedforward; integrate-and-fire neuron; multiplicative coupling; optimal decoding algorithm; perfect signal recovery; time change; time encoding machines; variable threshold sequence; Decoding; Delta modulation; Detectors; Encoding; Feedback; Information representation; Neurofeedback; Neurons; Neuroscience; Oscillators; Feedback; feedforward; perfect signal recovery; time change; time encoding;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2006.876462