%0 Journal Article %1 WOS:A1993KP29400001 %A MOREIRA, JE %A AUTO, DM %C Z I DE COURTABOEUF AVE 7 AV DU HOGGAR, BP 112, 91944 LES ULIS CEDEX, FRANCE %D 1993 %I EDITIONS PHYSIQUE %J EUROPHYSICS LETTERS %K (EXC AND BIOPHYSICS CHAOTIC ISING LATTICE MODELS NEUROPHYSIOLOGICAL OF PERCEPTION PROBLEMS; PROCESSES SPEECH)} STATISTICS; SYSTEMS; THEORY {THEORY %N 6 %P 639-644 %R 10.1209/0295-5075/21/6/001 %T INTERMITTENCY IN A NEURAL NETWORK WITH VARIABLE THRESHOLD %V 21 %X A model of neural network with a time-dependent threshold is presented. Changes in a control parameter of the threshold function lead the network activity to intermittent or chaotic behaviour. The intermittent regime of the network activity is characterized by temporal power spectra of the 1/f type. Some properties of the activity time series are compared with well-known results of intermittent regimes in low-dimensional maps.

@article{WOS:A1993KP29400001, abstract = {A model of neural network with a time-dependent threshold is presented. Changes in a control parameter of the threshold function lead the network activity to intermittent or chaotic behaviour. The intermittent regime of the network activity is characterized by temporal power spectra of the 1/f type. Some properties of the activity time series are compared with well-known results of intermittent regimes in low-dimensional maps.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {Z I DE COURTABOEUF AVE 7 AV DU HOGGAR, BP 112, 91944 LES ULIS CEDEX, FRANCE}, author = {MOREIRA, JE and AUTO, DM}, biburl = {https://www.bibsonomy.org/bibtex/2a843a905b33b137dea7a97c41047d317/ppgfis_ufc_br}, doi = {10.1209/0295-5075/21/6/001}, interhash = {8d046c596e65c16c51c3f2ff2f626a7f}, intrahash = {a843a905b33b137dea7a97c41047d317}, issn = {0295-5075}, journal = {EUROPHYSICS LETTERS}, keywords = {(EXC AND BIOPHYSICS CHAOTIC ISING LATTICE MODELS NEUROPHYSIOLOGICAL OF PERCEPTION PROBLEMS; PROCESSES SPEECH)} STATISTICS; SYSTEMS; THEORY {THEORY}, number = 6, pages = {639-644}, publisher = {EDITIONS PHYSIQUE}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {INTERMITTENCY IN A NEURAL NETWORK WITH VARIABLE THRESHOLD}, tppubtype = {article}, volume = 21, year = 1993 }