Trends in Neurosciences
Volume 14, Issue 7, July 1991, Pages 282-286
ViewpointRecognizing the visual stimulus from neuronal discharges
References (44)
- et al.
Vision Res.
(1974) - et al.
Neural Networks
(1990) - et al.
Trends Neurosci.
(1990) Trends Neurosci.
(1990)- et al.
Brain Res.
(1987) - et al.
Trends Neurosci.
(1991) Exp. Brain Res.
(1986)Exp. Brain Res.
(1980)- et al.
Exp. Brain Res.
(1989)
Neurosci. Res. Program Bull.
(1968)
The Uncertain Nervous System
(1968)
Kybernetik
(1974)
Biol. Cybern.
(1975)
J. Gen. Physiol.
(1970)
Exp. Brain Res.
(1986)
J. Neurophysiol.
(1988)
Q. Rev. Biophys.
(1983)
Science
(1986)
Science
(1989)
J. Neurosci.
(1987)
Cited by (50)
Chaotic Signal Induced Delay Decay in Hodgkin-Huxley Neuron
2021, Applied Mathematics and ComputationCitation Excerpt :Encoding of information signals into spike trains by neurons forms the fundamentals of signal processing in a dynamical neural system [44]. The information encoding in neurons is mainly categorized into two lines: spiking time-based where information is encoded in precise timing of spikes (temporal coding) and rate-based in which information is encoded by the total number of spikes within a certain time window (rate coding) [26,29,65,70]. In literature, in some numerical and experimental studies, spike time based coding has been shown to be more efficient in utilizing the capacity of neural connections, rather than rate coding [4,71].
Spike latency and jitter of neuronal membrane patches with stochastic Hodgkin-Huxley channels
2009, Journal of Theoretical BiologyDual coding hypotheses for neural information representation
2007, Mathematical BiosciencesEvoking defined gaze directions in untrained awake monkeys
2004, Journal of Neuroscience Methods
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