A Rate-Reduced Neuron Model for Complex Spiking Behavior (original) (raw)

A Review of Biologically Plausible Neuron Models for Spiking Neural Networks

Lyle Long

AIAA Infotech@Aerospace 2010, 2010

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A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems

Krzysztof Cios

Neural Computation, 2008

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Balanced excitation and inhibition in a spiking model of V1

Micah Richert, Dimitry Fisher

BMC Neuroscience, 2013

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Control of sampling rate in map-based models of spiking neurons

Nikolai Rulkov

Communications in Nonlinear Science and Numerical Simulation

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Automatic fitting of spiking neuron models to electrophysiological recordings

Cyrille Rossant

Frontiers in …, 2010

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Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario

davide manna

Cornell University - arXiv, 2022

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Mind the last spike — firing rate models for mesoscopic populations of spiking neurons

Anton Chizhov

Current Opinion in Neurobiology, 2019

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An Adaptive Spiking Neural Network with

Lyle Long

2011

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Spiking neural networks as continuous-time dynamical systems: fundamentals, elementary structures and simple applications

Gianluca Susi

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Viewing Rate-Based Neurons as Biophysical Conductance Outputting Models

Gunnar Tufte

2019

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Minimal Models of Adapted Neuronal Response To In

Giancarlo La Camera

2007

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Biologically inspired features in spiking neural networks

Dirk Stroobandt

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An Empirical Model for Reliable Spiking Activity

wanjie wang

Neural computation, 2015

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Empirical models of spiking in neural populations

Byron Yu

2011

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Minimal Models of Adapted Neuronal Response to In Vivo –Like Input Currents

Giancarlo La Camera

Neural Computation, 2004

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The Simulation of Spiking Neural Networks

David Gamez

Technologies and Applications

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A functional spiking neuron hardware oriented model

Carlos-Andrés Peña-Reyes

Lecture Notes in Computer Science, 2003

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An Functional Spiking Neuron Hardware Oriented Model

Andres Upegui

2003

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Delayed afterdepolarization and spontaneous secondary spiking in a simple model of neural activity

V. Nekorkin

Communications in Nonlinear Science and Numerical Simulation, 2012

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The power ratio and the interval map: spiking models and extracellular recordings

Jonathan Victor

The Journal of neuroscience : the official journal of the Society for Neuroscience, 1998

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Competitive and temporal inhibition structures with spiking neurons

A. Prieto

Neural Processing Letters, 2000

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Functional interpretation of biophysical properties of spiking neurons

Sophie Deneve

BMC Neuroscience, 2013

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A 1st step towards an abstract view of computation in spiking neural-networks

sandrine chemla

2006

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To spike or not to spike: A probabilistic spiking neuron model

Nikola Kasabov, Professor

Neural Networks, 2010

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Diverse Population-Bursting Modes of Adapting Spiking Neurons

Maurizio Mattia

Physical Review Letters, 2007

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Simulation of networks of spiking neurons: A review of tools and strategies

Alain Destexhe, Mikael Djurfeldt

Journal of Computational Neuroscience, 2007

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The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models

Peter N. Steinmetz

Neural Computation, 2002

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Frequency-dependent response properties of adapting spiking neurons

Maurizio Mattia

Mathematical Biosciences, 2007

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FNS: an event-driven spiking neural network simulator based on the LIFL neuron model

Ernesto Pereda De Pablo

arXiv: Neurons and Cognition, 2018

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