On the public citation graph
Universality in neural networks: the importance of the ‘mean firing rate’
0 signed · 91 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3540532676_37openalex-snapshot
Model neurons: From Hodgkin-Huxley to hopfield
inferredcites →https://doi.org/10.1007/978-1-4613-0411-1_12openalex-snapshot
The Existence of Persistent States in the Brain
inferredcites →https://doi.org/10.1007/978-3-642-76070-9_16openalex-snapshot
Encoding and Decoding of Patterns which are Correlated in Space and Time
inferredcites →https://doi.org/10.1007/bf00202382openalex-snapshot
A computer based model for realistic simulations of neural networks
inferredcites →https://doi.org/10.1007/bf00202899openalex-snapshot
Coherent oscillations: A mechanism of feature linking in the visual cortex?
inferredcites →https://doi.org/10.1007/bf00203633openalex-snapshot
A model for neuronal oscillations in the visual cortex
inferredcites →https://doi.org/10.1007/bf00204701openalex-snapshot
Hebbian learning reconsidered: Representation of static and dynamic objects in associative neural nets
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/bf01308399openalex-snapshot
Elementary solution of Classical Spin-Glass models
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1016/0003-4916(87)90092-3openalex-snapshot
Statistical mechanics of neural networks near saturation
inferredcites →https://doi.org/10.1016/0025-5564(74)90031-5openalex-snapshot
The existence of persistent states in the brain
inferredcites →https://doi.org/10.1016/0166-2236(90)90185-dopenalex-snapshot
Intrinsic firing patterns of diverse neocortical neurons
inferredcites →https://doi.org/10.1016/0301-0511(90)90081-7openalex-snapshot
Methods in neuronal modeling: From synapses to networks
inferredcites →https://doi.org/10.1016/0306-4522(76)90135-4openalex-snapshot
Mass action in the nervous system
inferredcites →https://doi.org/10.1016/s0006-3495(61)86902-6openalex-snapshot
Impulses and Physiological States in Theoretical Models of Nerve Membrane
inferredcites →https://doi.org/10.1016/s0006-3495(67)86596-2openalex-snapshot
Neuronal Spike Trains and Stochastic Point Processes
inferredcites →https://doi.org/10.1016/s0006-3495(72)86068-5openalex-snapshot
Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons
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.86.20.7871openalex-snapshot
Associative memory neural network with low temporal spiking rates.
inferredcites →https://doi.org/10.1073/pnas.86.5.1698openalex-snapshot
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex.
inferredcites →https://doi.org/10.1088/0305-4470/23/12/037openalex-snapshot
Threshold-linear formal neurons in auto-associative nets
inferredcites →https://doi.org/10.1088/0954-898x/1/4/001openalex-snapshot
Attractor neural networks with biological probe records
inferredcites →https://doi.org/10.1088/0954-898x/2/3/002openalex-snapshot
Realistic synaptic inputs for model neural networks
inferredcites →https://doi.org/10.1088/0954-898x/2/3/003openalex-snapshot
Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain
inferredcites →https://doi.org/10.1088/0954-898x/3/2/004openalex-snapshot
Associative memory in a network of ‘spiking’ neurons
inferredcites →https://doi.org/10.1098/rspb.1967.0013openalex-snapshot
The frequency of nerve action potentials generated by applied currents
inferredcites →https://doi.org/10.1098/rspb.1977.0085openalex-snapshot
Ferrier lecture - Functional architecture of macaque monkey visual cortex
inferredcites →https://doi.org/10.1103/physreva.32.1007openalex-snapshot
Spin-glass models of neural networks
inferredcites →https://doi.org/10.1103/physreva.40.1036openalex-snapshot
Neural networks with dynamical thresholds
inferredcites →https://doi.org/10.1103/physreva.43.2084openalex-snapshot
Statistical mechanics for networks of graded-response neurons
inferredcites →https://doi.org/10.1109/jrproc.1962.288235openalex-snapshot
An Active Pulse Transmission Line Simulating Nerve Axon
inferredcites →https://doi.org/10.1113/jphysiol.1926.sp002273openalex-snapshot
The impulses produced by sensory nerve endings
inferredcites →https://doi.org/10.1113/jphysiol.1926.sp002281openalex-snapshot
The impulses produced by sensory nerve‐endings
inferredcites →https://doi.org/10.1113/jphysiol.1948.sp004260openalex-snapshot
The local electric changes associated with repetitive action in a non‐medullated axon
inferredcites →https://doi.org/10.1113/jphysiol.1952.sp004764openalex-snapshot
A quantitative description of membrane current and its application to conduction and excitation in nerve
inferredcites →https://doi.org/10.1113/jphysiol.1981.sp013763openalex-snapshot
Electrophysiology of mammalian inferior olivary neurones in vitro. Different types of voltage‐dependent ionic conductances.
inferredcites →https://doi.org/10.1113/jphysiol.1984.sp015153openalex-snapshot
Electrophysiological properties of guinea‐pig thalamic neurones: an in vitro study.
inferredcites →https://doi.org/10.1152/jn.1991.66.2.635openalex-snapshot
A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances
inferredcites →https://doi.org/10.1209/0295-5075/7/7/016openalex-snapshot
The Hebb Rule: Storing Static and Dynamic Objects in an Associative Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-58843-4_15openalex-snapshot
Neural coding: A theoretical vista of mechanisms, techniques, and applications
inferred← citeshttps://doi.org/10.1007/978-1-4471-2063-6_175openalex-snapshot
Spikes or Rates? — Stationary, Oscillatory, and Spatio-temporal States in an Associative Network of Spiking Neurons
inferred← citeshttps://doi.org/10.1007/978-1-4612-0723-8_1openalex-snapshot
Global Analysis of Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4612-3992-5_23openalex-snapshot
Noise and Nonlinearity in Neuron Modeling
inferred← citeshttps://doi.org/10.1007/978-1-4612-4320-5_1openalex-snapshot
Coding and Information Processing in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4612-4320-5_5openalex-snapshot
Associative Binding and Segregation in a Network of Spiking Neurons
inferred← citeshttps://doi.org/10.1007/978-1-4615-5351-9_9openalex-snapshot
On Recent Results in Modeling of Sensory Neurons
inferred← citeshttps://doi.org/10.1007/978-3-642-78411-8_17openalex-snapshot
Multistability in Geometrical Imagination: A Network Study
inferred← citeshttps://doi.org/10.1007/bf00158337openalex-snapshot
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron
inferred← citeshttps://doi.org/10.1007/bf00161134openalex-snapshot
A quantitative population model of whisker barrels: Re-examining the Wilson-Cowan equations
inferred← citeshttps://doi.org/10.1007/bf00198916openalex-snapshot
Uncovering the synchronization dynamics from correlated neuronal activity quantifies assembly formation
inferred← citeshttps://doi.org/10.1007/bf00199450openalex-snapshot
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns
inferred← citeshttps://doi.org/10.1007/bf00201415openalex-snapshot
Ornstein-Uhlenbeck model neuron revisited
inferred← citeshttps://doi.org/10.1007/bf00201861openalex-snapshot
A biologically motivated and analytically soluble model of collective oscillations in the cortex
inferred← citeshttps://doi.org/10.1007/bfb0032495openalex-snapshot
Adaptation and other dynamic effects on neural signal transfer
inferred← citeshttps://doi.org/10.1007/bfb0098180openalex-snapshot
Stochastic model of the place cell discharge
inferred← citeshttps://doi.org/10.1007/s00422-001-0293-yopenalex-snapshot
New attractor states for synchronous activity in synfire chains with excitatory and inhibitory coupling
inferred← citeshttps://doi.org/10.1007/s004220050552openalex-snapshot
The spatial properties of a model neuron increase its coding range
inferred← citeshttps://doi.org/10.1016/0010-4655(96)00027-6openalex-snapshot
Computational physics of the mind
inferred← citeshttps://doi.org/10.1016/0303-2647(96)01647-4openalex-snapshot
Coding of odour intensity in a sensory neuron
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109817openalex-snapshot
Invariance measures for neural networks
inferred← citeshttps://doi.org/10.1016/j.biosystems.2022.104780openalex-snapshot
A simple neuronal model with intrinsic saturation of the firing frequency
inferred← citeshttps://doi.org/10.1016/s0167-2789(99)00034-2openalex-snapshot
Two-compartment stochastic model of a neuron
inferred← citeshttps://doi.org/10.1016/s0303-2647(00)00109-xopenalex-snapshot
Effects of the synaptic transmission's dynamics on possible neural codes
inferred← citeshttps://doi.org/10.1016/s0375-9601(01)00340-1openalex-snapshot
The Ornstein–Uhlenbeck neuronal model with signal-dependent noise
inferred← citeshttps://doi.org/10.1080/net.12.1.47.74openalex-snapshot
Properties of synaptic transmission and the global stability of delayed activity states
inferred← citeshttps://doi.org/10.1088/0954-898x/11/4/302openalex-snapshot
Persistent activity and the single-cell frequency–current curve in a cortical network model
inferred← citeshttps://doi.org/10.1088/0954-898x/3/2/004openalex-snapshot
Associative memory in a network of ‘spiking’ neurons
inferred← citeshttps://doi.org/10.1088/0954-898x/4/2/004openalex-snapshot
History-dependent attractor neural networks
inferred← citeshttps://doi.org/10.1103/physreve.51.2619openalex-snapshot
Dynamics of associative memory with a general transfer function
inferred← citeshttps://doi.org/10.1103/physreve.51.738openalex-snapshot
Time structure of the activity in neural network models
inferred← citeshttps://doi.org/10.1103/physreve.66.051917openalex-snapshot
Population dynamics of interacting spiking neurons
inferred← citeshttps://doi.org/10.1103/physrevx.12.041007openalex-snapshot
RETRACTED: Dynamics of Stochastic Integrate-and-Fire Networks
inferred← citeshttps://doi.org/10.1103/physrevx.13.041047openalex-snapshot
Republished: Dynamics of Stochastic Integrate-and-Fire Networks
inferred← citeshttps://doi.org/10.1152/jn.00404.2019openalex-snapshot
Before and beyond the Wilson–Cowan equations
inferred← citeshttps://doi.org/10.1162/08997660152002852openalex-snapshot
Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex
inferred← citeshttps://doi.org/10.1162/089976604772744875openalex-snapshot
Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate
inferred← citeshttps://doi.org/10.1186/s13041-015-0099-9openalex-snapshot
Ontogeny of biochemical, morphological and functional parameters of synaptogenesis in primary cultures of rat hippocampal and cortical neurons
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1002711openalex-snapshot
Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1004002openalex-snapshot
When Less Is More: Non-monotonic Spike Sequence Processing in Neurons
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1004490openalex-snapshot
Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1005507openalex-snapshot
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
inferred← citeshttps://doi.org/10.3109/09553002.2015.1004467openalex-snapshot
Effects of two different waveforms of ELF MF on bioelectrical activity of antennal lobe neurons ofMorimus funereus(Insecta, Coleoptera)
inferred← citeshttps://doi.org/10.3389/fnsyn.2010.00025openalex-snapshot
Voltage and spike timing interact in STDP - a unified model
inferred← citeshttps://doi.org/10.3389/fnsyn.2011.00004openalex-snapshot
A history of spike-timing-dependent plasticity
inferred← citeshttps://doi.org/10.3390/en13082060openalex-snapshot
Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network
inferred← citeshttps://doi.org/10.35537/10915/90903openalex-snapshot
Medidas de invarianza y equivarianza a transformaciones en redes neuronales convolucionales
inferred← citeshttps://doi.org/10.70675/2931b21az5e5fz4aa2z8da0zd62015eb9beeopenalex-snapshot
Neural networks as cellular computing models for temporal sequence processing.
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.