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Influence of noise on the function of a “physiological” neural network

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What this work says

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

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Nervous Structures with Dynamical Links
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The Correlation Theory of Brain Function
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The Existence of Persistent States in the Brain
inferredcites →https://doi.org/10.1007/978-3-642-46345-7openalex-snapshot
Models of the Stochastic Activity of Neurones
inferredcites →https://doi.org/10.1007/978-3-642-48302-8openalex-snapshot
Stochastic Models for Spike Trains of Single Neurons
inferredcites →https://doi.org/10.1007/978-3-642-70094-1_6openalex-snapshot
Learning by Selection
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Strange Attractors in the Dynamics of Brain Activity
inferredcites →https://doi.org/10.1007/978-3-642-81708-3openalex-snapshot
Local Cortical Circuits
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Disordered Systems and Biological Organization
inferredcites →https://doi.org/10.1007/978-3-642-82657-3_26openalex-snapshot
Statistical Coding and Short-Term Synaptic Plasticity: A Scheme for Knowledge Representation in the Brain
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/978-3-662-00545-3openalex-snapshot
Dynamics of Macrosystems
inferredcites →https://doi.org/10.1007/978-94-009-7758-7_4openalex-snapshot
Pattern Learning by Functional-Differential Neural Networks with Arbitrary Path Weights
inferredcites →https://doi.org/10.1007/bf00318428openalex-snapshot
Associative recognition and storage in a model network of physiological neurons
inferredcites →https://doi.org/10.1007/bf01304440openalex-snapshot
Learning and pattern recognition in spin glass models
inferredcites →https://doi.org/10.1007/bf01323440openalex-snapshot
Learning and pattern recognition in spin glass models
inferredcites →https://doi.org/10.1016/0003-4916(87)90092-3openalex-snapshot
Statistical mechanics of neural networks near saturation
inferredcites →https://doi.org/10.1016/0013-4694(78)90126-8openalex-snapshot
Spatial properties of an EEG event in the olfactory bulb and cortex
inferredcites →https://doi.org/10.1016/0022-2496(82)90036-0openalex-snapshot
Parallel models of associative memory
inferredcites →https://doi.org/10.1016/0025-5564(74)90015-7openalex-snapshot
Persistent states of neural networks and the random nature of synaptic transmission
inferredcites →https://doi.org/10.1016/0025-5564(74)90031-5openalex-snapshot
The existence of persistent states in the brain
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Measuring the strangeness of strange attractors
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On some problems encountered in the estimation of the correlation dimension of the EEG
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A Possible Organization of Animal Memory and Learning11This work was supported in part by the US National Science Foundation.
inferredcites →https://doi.org/10.1016/b978-0-12-627250-5.50009-5openalex-snapshot
PATTERN LEARNING BY FUNCTIONAL-DIFFERENTIAL NEURAL NETWORKS WITH ARBITRARY PATH WEIGHTS
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Stochastic Models in Biology
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A statistical theory of short and long term memory
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The long and the short of long–term memory—a molecular framework
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Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1063/1.441684openalex-snapshot
Dynamics of reactions involving diffusive barrier crossing
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/10.1073/pnas.81.10.3088openalex-snapshot
Neurons with graded response have collective computational properties like those of two-state neurons.
inferredcites →https://doi.org/10.1073/pnas.83.10.3513openalex-snapshot
Low-dimensional chaos in an instance of epilepsy.
inferredcites →https://doi.org/10.1073/pnas.83.12.4263openalex-snapshot
Analog "neuronal" networks in early vision.
inferredcites →https://doi.org/10.1073/pnas.83.14.5326openalex-snapshot
Hebbian synapses in hippocampus.
inferredcites →https://doi.org/10.1103/physreva.32.1007openalex-snapshot
Spin-glass models of neural networks
inferredcites →https://doi.org/10.1103/physrevlett.55.1530openalex-snapshot
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
inferredcites →https://doi.org/10.1126/science.6289442openalex-snapshot
Molecular Biology of Learning: Modulation of Transmitter Release
inferredcites →https://doi.org/10.1515/9783112745595openalex-snapshot
Physik der Selbstorganisation und Evolution
inferredcites →https://doi.org/10.2307/2529444openalex-snapshot
Stochastic Models in Biology
inferredcites →https://doi.org/10.2307/2530620openalex-snapshot
Stochastic Models for Spike Trains of Single Neurons.

What points at this work

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

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Spontaneous activity and recurrent inhibition in cultured hippocampal networks
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The analogic single-chip CNN visual supercomputer — a review
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An Attractor Network Model for the Generation of Event-Related Potentials Using Integrative Synapses
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Stochastic Specificity in Neural Interaction
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Introduction
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Simple Noise-Induced Transitions in Models of Neural Systems
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Noise and Nonlinearity in Neuron Modeling
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Oscillations, Chaos and Noise in Associative Memory
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Investigating Amplifying and Controlling Mechanisms for Random Events in Neural Systems
inferred← citeshttps://doi.org/10.1007/bf00198768openalex-snapshot
Noise effects in an electronic model of a single neuron
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Bistability, switches and working memory in a two-neuron inhibitory-feedback model
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Single effective neuron: dendritic coupling effects and stochastic resonance
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Cooperative effects of neuronal ensembles
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Conditions for noise reduction and stable encoding of spatial structure by cortical neural networks
inferred← citeshttps://doi.org/10.1007/s10496-006-0283-yopenalex-snapshot
Influence of noise and delay on reaction-diffusion recurrent neural networks
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A feasible neuron for estimating the magnetic field effect
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Multichannel semiconductor-based electrodes for in vivo electrochemical and electrophysiological studies in rat CNS
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Coupling enhances stochastic resonance in nonlinear dynamic elements driven by a sinusoid plus noise
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Physiological constraints on the formal representation of neurons
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Measuring the impact of probabilistic transmission on neuronal output
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Cooperative Stochastic Effects in a Model of a Single Neuron
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