Responses of recurrent nets of asymmetric ON and OFF cells |
| |
Authors: | Jérémie Lefebvre André Longtin Victor G LeBlanc |
| |
Institution: | (1) Department of Physics, University of Ottawa, 50 Louis Pasteur, Ottawa, ON, K1N-6N5, Canada;(2) Department of Mathematics and Statistics, University of Ottawa, 585 King Edward Avenue, Ottawa, ON, K1N 6N5, Canada |
| |
Abstract: | A neural field model of ON and OFF cells with all-to-all inhibitory feedback is investigated. External spatiotemporal stimuli
drive the ON and OFF cells with, respectively, direct and inverted polarity. The dynamic differences between networks built
of ON and OFF cells (“ON/OFF”) and those having only ON cells (“ON/ON”) are described for the general case where ON and OFF
cells can have different spontaneous firing rates; this asymmetric case is generic. Neural responses to nonhomogeneous static
and time-periodic inputs are analyzed in regimes close to and away from self-oscillation. Static stimuli can cause oscillatory
behavior for certain asymmetry levels. Time-periodic stimuli expose dynamical differences between ON/OFF and ON/ON nets. Outside
the stimulated region, we show that ON/OFF nets exhibit frequency doubling, while ON/ON nets cannot. On the other hand, ON/ON
networks show antiphase responses between stimulated and unstimulated regions, an effect that does not rely on specific receptive
field circuitry. An analysis of the resonance properties of both net types reveals that ON/OFF nets exhibit larger response
amplitude. Numerical simulations of the neural field models agree with theoretical predictions for localized static and time-periodic
forcing. This is also the case for simulations of a network of noisy integrate-and-fire neurons. We finally discuss the application
of the model to the electrosensory system and to frequency-doubling effects in retina. |
| |
Keywords: | Recurrent connections Delayed feedback Bifurcations ON and OFF cells |
本文献已被 PubMed SpringerLink 等数据库收录! |
|