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Control mechanisms of a neural network

https://doi.org/10.1007/bf00337112
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-96384-1openalex-snapshot
Associative Memory
inferredcites →https://doi.org/10.1007/bf00336967openalex-snapshot
Activity analysis of neural networks
inferredcites →https://doi.org/10.1007/bf00336993openalex-snapshot
The relationship between signal response selectivity and the functional structure of complex retinal neural networks
inferredcites →https://doi.org/10.1007/bf00336994openalex-snapshot
An inverse problem in neural processing
inferredcites →https://doi.org/10.1007/bf00337396openalex-snapshot
Modelling and simulation of vertebrate retina: Extended network
inferredcites →https://doi.org/10.1007/bf00347642openalex-snapshot
Modelling and simulation of vertebrate retina
inferredcites →https://doi.org/10.1007/bf00353949openalex-snapshot
Response analysis of vertebrate retina
inferredcites →https://doi.org/10.1016/s0304-0208(08)72729-4openalex-snapshot
Information Processing in Vertebrate Retina
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1109/tsmc.1983.6313071openalex-snapshot
Modeling and simulation of vertebrate primary visual system: Basic network
inferredcites →https://doi.org/10.1115/1.3426465openalex-snapshot
Modern Control Engineering
inferredcites →https://doi.org/10.2307/2008306openalex-snapshot
Trends in Theory and Practice of Nonlinear Differential Equations.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-1-4615-7482-8_25openalex-snapshot
Microtubules: Possible Application to Computer Technologies
inferred← citeshttps://doi.org/10.1007/978-94-011-3392-0_22openalex-snapshot
Molecular Control Network
inferred← citeshttps://doi.org/10.1007/bf00197643openalex-snapshot
Relationship between stimulus and intensity characteristics of a sensory receptor
inferred← citeshttps://doi.org/10.1007/bf00202896openalex-snapshot
Underlying neural computations for some visual phenomena
inferred← citeshttps://doi.org/10.1007/bf01122732openalex-snapshot
Analysis of pulse frequency in a simple neural network
inferred← citeshttps://doi.org/10.1007/s004220050594openalex-snapshot
Visual channels, Hebbian assemblies and the effect of Hebb's rule
inferred← citeshttps://doi.org/10.1016/0303-2647(90)90011-oopenalex-snapshot
Molecular networks as a sub-neural factor of neural networks
inferred← citeshttps://doi.org/10.1016/b978-0-12-464260-7.50017-1openalex-snapshot
Neural Networks
inferred← citeshttps://doi.org/10.1016/j.amc.2020.125150openalex-snapshot
Graph-theoretical derivation of brain structural connectivity
inferred← citeshttps://doi.org/10.1016/j.physd.2003.12.004openalex-snapshot
Dynamics of a two-neuron system with discrete and distributed delays
inferred← citeshttps://doi.org/10.1109/21.97461openalex-snapshot
An analysis of a neural network with a fixed memory span
inferred← citeshttps://doi.org/10.1109/icnn.1993.298669openalex-snapshot
Gradient computation in time delayed recurrent neural network with memory for static input-output mapping under stability constraint
inferred← citeshttps://doi.org/10.1109/icsmc.1993.385062openalex-snapshot
Intrinsic properties of isolated neurons
inferred← citeshttps://doi.org/10.1109/iembs.1989.96242openalex-snapshot
Molecular networks and neuroengineering
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