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Langevin machine: a neural network based on stochastically justifiable sigmoidal function

https://doi.org/10.1007/bf00216966
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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/bf00317939openalex-snapshot
Collective properties of neural networks: A statistical physics approach
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Dynamics of the cone-horizontal cell circuit in the turtle retina
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1016/0375-9601(87)90796-1openalex-snapshot
Fast simulated annealing
inferredcites →https://doi.org/10.1016/0893-6080(90)90049-qopenalex-snapshot
Probabilistic neural networks
inferredcites →https://doi.org/10.1049/ip-f-2.1989.0024openalex-snapshot
Correlating matched-filter model for analysis and optimisation of neural networks
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/10.1109/tcom.1984.1096037openalex-snapshot
Threshold Detection in Narrow-Band Non-Gaussian Noise
inferredcites →https://doi.org/10.1207/s15516709cog0901_7openalex-snapshot
A Learning Algorithm for Boltzmann Machines*
inferredcites →https://doi.org/10.1214/aoms/1177704472openalex-snapshot
On Estimation of a Probability Density Function and Mode

What points at this work

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

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Sequential configuration model for firing patterns in local neural networks
inferred← citeshttps://doi.org/10.1007/bf00226199openalex-snapshot
Stochastical aspects of neuronal dynamics: Fokker-Planck approach
inferred← citeshttps://doi.org/10.1007/s00422-024-01002-0openalex-snapshot
Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116386openalex-snapshot
Design of zero-centered monotonic unsaturated odd activation functions for deep neural networks in image recognition
inferred← citeshttps://doi.org/10.1016/s0925-2312(98)00006-xopenalex-snapshot
Fuzzy nonlinear activity and dynamics of fuzzy uncertainty in the neural complex
inferred← citeshttps://doi.org/10.1080/15397734.2022.2047721openalex-snapshot
On the mechanics of shear deformable micro beams under thermo-mechanical loads using finite element analysis and deep learning neural network
inferred← citeshttps://doi.org/10.1103/physreve.101.063304openalex-snapshot
Discrete Langevin machine: Bridging the gap between thermodynamic and neuromorphic systems
inferred← citeshttps://doi.org/10.1109/ijcnn.1993.713849openalex-snapshot
Representation of Hopfield's biological neural network via particle dynamics considerations
inferred← citeshttps://doi.org/10.1201/9781003067931-5openalex-snapshot
Dynamics of Neural Learning in the Information-Theoretic Plane
inferred← citeshttps://doi.org/10.4995/thesis/10251/202872openalex-snapshot
Contributions to glucagon and pramlintide pharmacokinetics and pharmacodynamics modeling for multi-hormone artificial pancreas systems
inferred← citeshttps://doi.org/10.9734/bjemt/2014/4185openalex-snapshot
Technoeconomic Projections with Artificial Neural Networks using an Ensemble of Sparsely-Sampled Bootstrapped Data
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