Time structure of the activity in neural network models.

No abstract is available for this paper.

• Publication year

  1995

• Venue

  Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Physics, Computer Science, Medicine

• Identifiers
  DOI 10.1103/PHYSREVE.51.738PMID 9962697
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Collective properties of neural networks: A statistical physics approach

  2004cited by this paper
• A biologically motivated and analytically soluble model of collective oscillations in the cortex

  2004cited by this paper
• On the significance of correlations among neuronal spike trains

  2004cited by this paper
• Large-scale activity in neural nets I: Theory with application to motoneuron pool responses

  2004cited by this paper
• Maximum likelihood analysis of spike trains of interacting nerve cells

  2004cited by this paper
• Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns

  1993cited by this paper
• Self-Sustained Firing in Populations of Integrate-and-Fire Neurons

  1993cited by this paper
• Pattern of synchrony in inhomogeneous networks of oscillators with pulse interactions.

  1993cited by this paper
• Coherence and incoherence in a globally coupled ensemble of pulse-emitting units.

  1993cited by this paper
• Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory

  1993cited by this paper
• Alternating oscillatory and stochastic states in a network of spiking neurons

  1993cited by this paper
• Mean-field analysis of neuronal spike dynamics

  1993cited by this paper
• Asynchronous states in networks of pulse-coupled oscillators.

  1993cited by this paper
• A biologically motivated and analytically soluble model of collective oscillations in the cortex

  1993cited by this paper
• Propagation of excitation in neural network models

  1993cited by this paper
• Alternating oscillatory and stochastic dynamics in a model for a neuronal assembly

  1993cited by this paper
• Temporal coding in the visual cortex: new vistas on integration in the nervous system.

  1992cited by this paper
• Synchronization and computation in a chaotic neural network.

  1992cited by this paper
• Universality in neural networks: the importance of the ‘mean firing rate’

  1992cited by this paper
• Clustering in globally coupled phase oscillators.

  1992cited by this paper
• Oscillatory Neuronal Responses in the Visual Cortex of the Awake Macaque Monkey

  1992cited by this paper
• Sensory segmentation with coupled neural oscillators

  1992cited by this paper
• A computer based model for realistic simulations of neural networks. I. The single neuron and synaptic interaction.

  1991cited by this paper
• Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization

  1991cited by this paper
• Collective synchronization of pulse-coupled oscillators and excitable units

  1991cited by this paper
• Direct physiological evidence for scene segmentation by temporal coding.

  1991cited by this paper
• Synchronization of Bursting Action Potential Discharge in a Model Network of Neocortical Neurons

  1991cited by this paper
• Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex

  1991cited by this paper
• Reading a Neural Code

  1991cited by this paper
• Cooperative dynamics in visual processing.

  1991cited by this paper
• Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons.

  1991cited by this paper
• A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances.

  1991cited by this paper
• Interactive effects among several stimulus parameters on the responses of striate cortical complex cells.

  1991cited by this paper
• A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex

  1991cited by this paper
• Synchronization of pulse-coupled biological oscillators

  1990cited by this paper
• A model for neuronal oscillations in the visual cortex

  1990cited by this paper
• Intrinsic firing patterns of diverse neocortical neurons.

  1990cited by this paper
• A network of oscillators

  1990cited by this paper
• Synchronization in Neural Assemblies

  1990cited by this paper
• A model for neuronal oscillations in the visual cortex

  1990cited by this paper
• Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex

  1990cited by this paper
• Global processing of visual stimuli in a neural network of coupled oscillators.

  1990cited by this paper
• Hebbian learning reconsidered: Representation of static and dynamic objects in associative neural nets

  1989cited by this paper
• Neural networks with dynamical thresholds.

  1989cited by this paper
• Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties

  1989cited by this paper
• Neuronal assemblies

  1989cited by this paper
• Oscillations and low firing rates in associative memory neural networks.

  1989cited by this paper
• Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex.

  1989cited by this paper
• Dynamic model of neural networks.

  1988cited by this paper
• Coherent oscillations: A mechanism of feature linking in the visual cortex?

  1988cited by this paper
• Nonlinear neural networks. I. General theory

  1988cited by this paper
• Temporal sequences and chaos in neural nets.

  1988cited by this paper
• Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences

  1988cited by this paper
• The Hebb Rule: Storing Static and Dynamic Objects in an Associative Neural Network

  1988cited by this paper
• Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis.

  1987cited by this paper
• Noise-Driven Temporal Association in Neural Networks

  1987cited by this paper
• Nonlinear neural networks near saturation.

  1987cited by this paper
• Nonlinear neural networks near saturation.

  1987cited by this paper
• Elementary solution of Classical Spin-Glass models

  1986cited by this paper
• Associative recognition and storage in a model network of physiological neurons

  1986cited by this paper
• Spatiotemporal receptive fields: a dynamical model derived from cortical architectonics

  1986cited by this paper
• Sequential state generation by model neural networks.

  1986cited by this paper
• A neural cocktail-party processor

  1986cited by this paper
• Temporal association in asymmetric neural networks.

  1986cited by this paper
• Nonlinear neural networks.

  1986cited by this paper
• Random-site spin-glass models

  1986cited by this paper
• Spin-glass models of neural networks.

  1985cited by this paper
• Neurons with graded response have collective computational properties like those of two-state neurons.

  1984cited by this paper
• Voltage-clamp analysis of mossy fiber synaptic input to hippocampal neurons.

  1983cited by this paper
• Local Cortical Circuits

  1982cited by this paper
• Neural networks and physical systems with emergent collective computational abilities.

  1982cited by this paper
• Large Scale Spatially Organized Activity in Neural Nets

  1980cited by this paper
• Temporal oscillations in neuronal nets

  1979cited by this paper
• Ferrier lecture - Functional architecture of macaque monkey visual cortex

  1977cited by this paper
• Efficiency of different neuronal codes: Information transfer calculations for three different neuronal systems

  1976cited by this paper
• A method of statistical neurodynamics

  1974cited by this paper
• Firing behaviour of a neurone model based on the afterhyperpolarization conductance time course and algebraical summation. Adaptation and steady state firing.

  1974cited by this paper
• A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue

  1973cited by this paper
• Repetitive impulse firing: comparisons between neurone models based on 'voltage clamp equations' and spinal motoneurones.

  1973cited by this paper
• Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis.

  1972cited by this paper
• Excitatory and inhibitory interactions in localized populations of model neurons.

  1972cited by this paper
• [Information processes in homogenous networks of neuron models].

  1968cited by this paper
• Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains.

  1967cited by this paper
• Neuronal spike trains and stochastic point processes. I. The single spike train.

  1967cited by this paper
• Some models of neuronal variability.

  1967cited by this paper
• The information capacity of nerve cells using a frequency code.

  1967cited by this paper
• The information capacity of nervous transmission

  1963cited by this paper
• Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

  1962cited by this paper
• A quantitative description of membrane current and its application to conduction and excitation in nerve

  1952cited by this paper
• The limiting information capacity of a neuronal link

  1952cited by this paper

• Neuromorphic algorithms for brain implants: a review

  2025cites this paper
• Functional stability and recurrent STDP in rhythmogenesis

  2025cites this paper
• Towards parameter-free attentional spiking neural networks

  2025cites this paper
• Neuromorphic Extended Object Tracking and Classification Using Spiking Neural Networks

  2025cites this paper
• Function aligns with geometry in locally connected neuronal networks

  2025cites this paper
• Event-Driven Tactile Sensing With Dense Spiking Graph Neural Networks

  2025cites this paper
• Analysis of a mean-field limit of interacting two-dimensional nonlinear integrate-and-fire neurons

  2025cites this paper
• EventTracer: Fast Path Tracing-based Event Stream Rendering

  2025cites this paper
• Attention-Enhanced Multi-Branch Spiking Neural Network for Event Stream Super-Resolution

  2025cites this paper
• Exploiting heterogeneous delays for efficient computation in low-bit neural networks

  2025cites this paper
• The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives

  2025cites this paper
• Prosperity: Accelerating Spiking Neural Networks via Product Sparsity

  2025cites this paper
• Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis

  2025influential citation
• Spiking neural network classification of X-ray chest images

  2025cites this paper
• NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning

  2025cites this paper
• RSNN: Rate encoding mechanism-based spiking neural network for renewable energy forecasting

  2025cites this paper
• Field-theoretic approach to compartmental neuronal networks: Impact of dendritic calcium spike-dependent bursting

  2025cites this paper
• A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules

  2025cites this paper
• PdNeuRAM: Forming-Free, Multi-Bit Pd/HfO2 ReRAM for Energy-Efficient Computing

  2025cites this paper
• Training of Spiking Neural Networks with Expectation-Propagation

  2025cites this paper
• Delay selection by spike-timing-dependent plasticity shapes efficient networks for signal transmission

  2025cites this paper
• A neuromorphic approach to obstacle avoidance in robot manipulation

  2024cites this paper
• Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision

  2024cites this paper
• Spiking neural network tactile classification method with faster and more accurate membrane potential representation

  2024cites this paper
• Neuromorphic Energy Efficient Stress Detection System using Spiking Neural Network

  2024cites this paper
• Identifying Effective Connectivity between Stochastic Neurons with Variable-Length Memory Using a Transfer Entropy Rate Estimator

  2024cites this paper
• Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme

  2024cites this paper
• Accurate and efficient floor localization with scalable spiking graph neural networks

  2024cites this paper
• Enhanced accuracy in first-spike coding using current-based adaptive LIF neuron

  2024cites this paper
• Linking Neural Manifolds to Circuit Structure in Recurrent Networks

  2024influential citation
• Training multi-layer spiking neural networks with plastic synaptic weights and delays

  2024influential citation
• Spatial spiking neural network for classification of EEG signals for concealed information test

  2024cites this paper
• Multi-attribute dynamic attenuation learning improved spiking actor network

  2024cites this paper
• Investigation of Spiking Neural Networks for Joint Detection and Tracking

  2024cites this paper
• Consistent model selection for estimating functional interactions among stochastic neurons with variable-length memory

  2024cites this paper
• NeuDen: a framework for the integration of neuromorphic evolving spiking neural networks with dynamic evolving neuro-fuzzy systems for predictive and explainable modelling of streaming data

  2024cites this paper
• Dense networks of integrate-and-fire neurons: Spatially-extended mean-field limit of the empirical measure

  2024cites this paper
• Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains

  2024cites this paper
• Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders

  2024cites this paper
• Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

  2023cites this paper
• Dendritic excitability controls overdispersion

  2023cites this paper
• Spikemoid: Updated Spike-based Loss Methods for Classification

  2023cites this paper
• Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

  2023cites this paper
• Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

  2023cites this paper
• Compact Functional Testing for Neuromorphic Computing Circuits

  2023cites this paper
• Supervised Learning Strategy for Spiking Neurons Based on Their Segmental Running Characteristics

  2023cites this paper
• Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking Neurons.

  2023influential citation
• Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance

  2023cites this paper
• Asynchronous Bioplausible Neuron for SNN for Event Vision

  2023cites this paper
• Event-based Shape from Polarization with Spiking Neural Networks

  2023cites this paper
• Well-posedness and numerical analysis of an elapsed time model with strongly coupled neural networks

  2023cites this paper
• The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks.

  2023cites this paper
• SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features

  2023cites this paper
• Exact Gradient Computation for Spiking Neural Networks via Forward Propagation

  2023cites this paper
• Trial matching: capturing variability with data-constrained spiking neural networks

  2023cites this paper
• Gradient-based feature-attribution explainability methods for spiking neural networks

  2023cites this paper
• Expressivity of Spiking Neural Networks

  2023influential citation
• BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model

  2023cites this paper
• Towards NeuroAI: introducing neuronal diversity into artificial neural networks

  2023cites this paper
• Event-Driven Tactile Learning with Various Location Spiking Neurons

  2022influential citation
• Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation

  2022influential citation
• Microcircuit Synchronization and Heavy-Tailed Synaptic Weight Distribution Augment preBötzinger Complex Bursting Dynamics

  2022cites this paper
• ALSA: Associative Learning Based Supervised Learning Algorithm for SNN

  2022cites this paper
• Improved spiking neural network for intershaft bearing fault diagnosis

  2022cites this paper
• SpikeGoogle: Spiking Neural Networks with GoogLeNet-like inception module

  2022cites this paper
• EDeNN: Event Decay Neural Networks for low latency vision

  2022cites this paper
• A robust event-driven approach to always-on object recognition.

  2022cites this paper
• Fast adaptation to rule switching using neuronal surprise

  2022cites this paper
• Dynamics of Stochastic Integrate-and-Fire Networks

  2022cites this paper
• Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network

  2022cites this paper
• Structural Stability of Spiking Neural Networks

  2022cites this paper
• Comparison between an exact and a heuristic neural mass model with second-order synapses

  2022cites this paper
• Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods

  2022cites this paper
• Spiking Transformers for Event-based Single Object Tracking

  2022cites this paper
• Theoretically Provable Spiking Neural Networks

  2022cites this paper
• A Survey of Intelligent Chip Design Research Based on Spiking Neural Networks

  2022cites this paper
• Biologically Inspired Dynamic Thresholds for Spiking Neural Networks (Supplementary Material)

  2022cites this paper
• Biologically Inspired Dynamic Thresholds for Spiking Neural Networks

  2022cites this paper
• The Determining Role of Covariances in Large Networks of Stochastic Neurons

  2022cites this paper
• Precise Spiking Motifs in Neurobiological and Neuromorphic Data

  2022cites this paper
• SuperFast: 200× Video Frame Interpolation via Event Camera

  2022cites this paper
• Spikemax: Spike-based Loss Methods for Classification

  2022influential citation
• EXODUS: Stable and efficient training of spiking neural networks

  2022cites this paper
• Mesoscopic modeling of hidden spiking neurons

  2022influential citation
• Boost event-driven tactile learning with location spiking neurons

  2022influential citation
• Event Stream Super-Resolution via Spatiotemporal Constraint Learning

  2021influential citation
• Self-Consistent Stochastic Dynamics for Finite-Size Networks of Spiking Neurons.

  2021cites this paper
• 55nm CMOS Analog Circuit Implementation of LIF and STDP Functions for Low-Power SNNs

  2021cites this paper
• Multi-domain collaborative feature representation for robust visual object tracking

  2021cites this paper
• On a Finite-Size Neuronal Population Equation

  2021influential citation
• Long Time Behavior of an Age- and Leaky Memory-Structured Neuronal Population Equation

  2021cites this paper
• Neuron Fault Tolerance in Spiking Neural Networks

  2021cites this paper
• Interspike interval correlations in neuron models with adaptation and correlated noise

  2021cites this paper
• The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning

  2021cites this paper
• SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent

  2021cites this paper
• Fitting summary statistics of neural data with a differentiable spiking network simulator

  2021cites this paper
• STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks

  2021cites this paper
• Dopamine and serotonin interplay for valence-based spatial learning

  2021cites this paper
• SpikeMS: Deep Spiking Neural Network for Motion Segmentation

  2021influential citation
• U(1) dynamics in neuronal activities

  2021cites this paper