On the public citation graph
A neural network learns trajectory of motion from the least action principle
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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/bf00202754openalex-snapshot
A learned neural network that simulates properties of the neuronal population vector
inferredcites →https://doi.org/10.1007/bf00204596openalex-snapshot
On the ability of neural networks to perform generalization by induction
inferredcites →https://doi.org/10.1007/bf00332917openalex-snapshot
Neural-space generalization of a topological transformation
inferredcites →https://doi.org/10.1007/bf02414903openalex-snapshot
A neural network model for limb trajectory formation
inferredcites →https://doi.org/10.1073/pnas.83.24.9469openalex-snapshot
Sequential state generation by model neural networks.
inferredcites →https://doi.org/10.1073/pnas.84.9.2727openalex-snapshot
Neural networks that learn temporal sequences by selection.
inferredcites →https://doi.org/10.1073/pnas.85.7.2141openalex-snapshot
Neural networks counting chimes.
inferredcites →https://doi.org/10.1103/physreva.38.6365openalex-snapshot
Storage and retrieval of complex sequences in neural networks
inferredcites →https://doi.org/10.1103/physreva.41.3346openalex-snapshot
Retrieval of spatio-temporal sequence in asynchronous neural network
inferredcites →https://doi.org/10.1103/physrevlett.57.2861openalex-snapshot
Temporal Association in Asymmetric Neural Networks
inferredcites →https://doi.org/10.1103/physrevlett.61.235openalex-snapshot
Processing of Temporal Sequences in Neural Networks
inferredcites →https://doi.org/10.1103/physrevlett.64.2957openalex-snapshot
Inference of a rule by a neural network with thermal noise
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1126/science.3281253openalex-snapshot
Dynamic Pattern Generation in Behavioral and Neural Systems
inferredcites →https://doi.org/10.1209/0295-5075/4/4/020openalex-snapshot
Learning Networks of Neurons with Boolean Logic
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/bf00199451openalex-snapshot
A dynamical neural network model for motor cortical activity during movement: population coding of movement trajectories
inferred← citeshttps://doi.org/10.1016/0893-6080(94)90026-4openalex-snapshot
What size network is good for generalization of a specific task of interest?
inferred← citeshttps://doi.org/10.1016/j.softx.2021.100789openalex-snapshot
PND: Physics-informed neural-network software for molecular dynamics applications
inferred← citeshttps://doi.org/10.1016/s1350-4533(96)00030-6openalex-snapshot
Two artificial neural systems for generation of gait swing by means of neuromuscular electrical stimulation
inferred← citeshttps://doi.org/10.1080/00221680209499858openalex-snapshot
Hydraulic geometry of straight alluvial channels and the principle of least action
inferred← citeshttps://doi.org/10.1162/neco.1994.6.1.19openalex-snapshot
A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors
inferred← citeshttps://doi.org/10.1177/039139889802100109openalex-snapshot
Gait restoration in a spinal cord injured subject via neuromuscular electrical stimulation controlled by an artificial neural network
inferred← citeshttps://doi.org/10.48550/arxiv.2011.03490openalex-snapshot
Physics-informed Neural-Network Software for Molecular Dynamics Applications
inferred← citeshttps://doi.org/10.7554/elife.89674openalex-snapshot
A neuronal least-action principle for real-time learning in cortical circuits
inferred← citeshttps://doi.org/10.7554/elife.89674.1openalex-snapshot
A neuronal least-action principle for real-time learning in cortical circuits
inferred← citeshttps://doi.org/10.7554/elife.89674.2openalex-snapshot
A neuronal least-action principle for real-time learning in cortical circuits
inferred← citeshttps://doi.org/10.7554/elife.89674.3openalex-snapshot
A neuronal least-action principle for real-time learning in cortical circuits
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