On the public citation graph
State generators and complex neural memories
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/archneur.1960.03840090121017openalex-snapshot
Speech and Brain-Mechanisms.
inferredcites →https://doi.org/10.1007/bf00288979openalex-snapshot
Rigorous and extended application of information theory to the afferent visual system of the cat. I. Basic concepts
inferredcites →https://doi.org/10.1016/0013-4694(62)90068-8openalex-snapshot
Brain mechanisms and learning
inferredcites →https://doi.org/10.1016/0375-9601(90)90340-topenalex-snapshot
Self indexing of neural memories
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/10.1103/physreva.35.2293openalex-snapshot
Information storage in neural networks with low levels of activity
inferredcites →https://doi.org/10.1103/physreva.38.2196openalex-snapshot
Discrete-state phasor neural networks
inferredcites →https://doi.org/10.1126/science.7112125openalex-snapshot
Some Effects of Disconnecting the Cerebral Hemispheres
inferredcites →https://doi.org/10.1152/jn.1987.57.1.162openalex-snapshot
Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis
inferredcites →https://doi.org/10.5694/j.1326-5377.1960.tb76238.xopenalex-snapshot
Speech and Brain‐Mechanisms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/bf01189877openalex-snapshot
Feedback neural networks: new characteristics and a generalization
inferred← citeshttps://doi.org/10.1007/bf02898040openalex-snapshot
On training feedforward neural networks
inferred← citeshttps://doi.org/10.1016/0020-0255(93)90045-nopenalex-snapshot
Neural networks and artificial intelligence
inferred← citeshttps://doi.org/10.1016/0020-0255(94)00095-sopenalex-snapshot
On quantum neural computing
inferred← citeshttps://doi.org/10.31390/gradschool_disstheses.6309openalex-snapshot
Modular Approaches for Designing Feedforward Neural Networks to Solve Classification Problems.
inferred← citeshttps://doi.org/10.48550/arxiv.0905.3771openalex-snapshot
Memory Retrieved from Single Neurons
inferred← citeshttps://doi.org/10.48550/arxiv.0906.0798openalex-snapshot
Single Neuron Memories and the Network's Proximity Matrix
inferred← citeshttps://doi.org/10.48550/arxiv.0908.3148openalex-snapshot
Another Look at Quantum Neural Computing
inferred← citeshttps://doi.org/10.48550/arxiv.0908.3184openalex-snapshot
Location of Single Neuron Memories in a Hebbian Network
inferred← citeshttps://doi.org/10.48550/arxiv.1006.4754openalex-snapshot
Active Sites model for the B-Matrix Approach
inferred← citeshttps://doi.org/10.48550/arxiv.1307.8104openalex-snapshot
Neural Network Capacity for Multilevel Inputs
inferred← citeshttps://doi.org/10.48550/arxiv.cond-mat/0611462openalex-snapshot
Evolution in Materio: Exploiting the Physics of Materials for Computation
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