Propagation of synchronous spiking activity in feedforward neural networks
References (19)
- et al.
Noise, neural codes and cortical organization
Curr Opin Neurobiol
(1994) The role of cortical neuron: Integrator or coincidence detector
Isr J Med Sci
(1982)Corticonics. Neural circuits in the cerebral cortex
(1991)- et al.
Spatio-temporal firing patterns in the frontal cortex of behaving monkeys
J Neurophysiol
(1993) - et al.
Integration, synchronicity and periodicity
- et al.
Coupling dynamics and coincident spiking in cortical neural networks
- et al.
The effect of synchronized inputs at the single neuron level
Neural Comp
(1994) A model of neocortex
Network
(1995)- et al.
On the formalization and conditions for syn-fire activity in cortical networks
There are more references available in the full text version of this article.
Cited by (123)
The power law statistics of the spiking timing in a neuronal network
2023, Chaos, Solitons and FractalsTemperature-controlled propagation of spikes in neuronal networks
2022, Chaos, Solitons and FractalsTemperature-optimized propagation of synchronous firing rate in a feed-forward multilayer neuronal network
2022, Physica A: Statistical Mechanics and its ApplicationsCitation Excerpt :The signal encoding, transmission and decoding play a crucial role in various neuron-related computation, learning and cognitive processing, and their various aspects have been investigated systematically by the researchers in neuroscience [1–4].
Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns
2017, BioSystemsCitation Excerpt :While the recurrence does have a role in perception, see, e.g. Bullier (2001a,b) for vision and Siegel and Kim (1982) for hearing, the feed-forward mode of processing is definitely present. For a discussion of the feed-forward mode see Abeles (1982) and Aertsen et al. (1996). Both modes can be combined, see, e.g. Zheng and Triesch (2014).
Copyright © 1996 Published by Elsevier Ltd.