caa a22 4500 475800869 CHVBK 20180406123736.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1023/A:1026578116767 doi (NATIONALLICENCE)springer-10.1023/A:1026578116767 Parametric Amplification of Signals by Noise in Neurons and Neural Networks [Elektronische Daten] [Yu. Balkarey, V. Nagoutchev, M. Evtikhov, M. Elinson] The positive role of parametric noise in neural systems is shown. In analogy with transistor effect the weak input signals control the intensive response of nonlinear neurons to parametric noise. As a result gigantic amplification of input signals can be obtained. The mechanism of amplification is simple and robust. It can relate both to biological and artificial neural networks. Such amplification was first investigated in a model of overdamped Kramers oscillator [1,2]. Kluwer Academic Publishers, 2000 amplification of signals in neural networks (NN) nationallicence positive role of parametric noise in NN nationallicence spike trains and noise nationallicence Balkarey Yu Institute of Radio Engineering and Electronics, Russian Academy of Sciences, 11 Mokhovaya Str., 103907, Moscow, Russia aut Nagoutchev V. aut Evtikhov M. aut Elinson M. aut Neural Processing Letters Kluwer Academic Publishers 12/3(2000-12-01), 215-223 1370-4621 12:3<215 2000 12 11063 https://doi.org/10.1023/A:1026578116767 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1026578116767 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Balkarey Yu Institute of Radio Engineering and Electronics, Russian Academy of Sciences, 11 Mokhovaya Str., 103907, Moscow, Russia aut NATIONALLICENCE 700 1- Nagoutchev V. aut NATIONALLICENCE 700 1- Evtikhov M. aut NATIONALLICENCE 700 1- Elinson M. aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers 12/3(2000-12-01), 215-223 1370-4621 12:3<215 2000 12 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer