Integrate-and-fire
Effects caused on Leaky integrate and fire model
... is integrate and fire ...by integrate and fire ...the integrate and fire model has become an important model because it can analyze it ...leaky integrate and fire ...
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Investigations on the intrinsic frequency of the cardiac cells in effecting synchronization
... an integrate and fire neuron model was developed and the applied external IFN input made the cells to exhibit oscillations with a varied intrinsic frequency that can be chosen by a predetermined gain ...
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Analog to Digital Conversion Using Single Layer Integrate and Fire Networks with Inhibitory Connections
... is increasing but concave downward. After any neuron in the network fires, a voltage, ∆V = K, is subtracted from all other neurons. Although the voltage decrements are identical, each neuron experiences a different time ...
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Computation of Silicon Neuron and Synapse: Neuromorphic Analog VLSI Systems
... The integrate-and-fire neuron model (also known as threshold fire model) is one of the most widely used ...an integrate-and-fire model has sub-threshold integration domain where the ...
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Experimentally verified reduced models of neocortical pyramidal cells
... Although attempts have been made to fit detailed continuous models (Huys et al. 2006; Druckmann et al. 2007; Huys and Paninski 2009; Hay et al. 2011), this is hugely challenging task due to their high dimensionality ...
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Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism
... B. Mathematical models of the dynamic relaying oscillator realized in this study and its implementation in Matlab LIFL neuron model is similar to the classical leaky integrate and fire, but it contemplates ...
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Whole field visual motion drives swimming in larval zebrafish via a stochastic process
... The aim of our study was to investigate whether these observed latencies are the result of a history-dependent process that accumulates sensory evidence over time or whether they arise as the output of a stochastic model ...
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Fokker–Planck and Fortet Equation-Based Parameter Estimation for a Leaky Integrate-and-Fire Model with Sinusoidal and Stochastic Forcing
... leaky integrate-and-fire (LIF) neuronal models are a good compromise between biophys- ical realism and mathematical tractability, and are commonly applied as theoretical tools to study properties of real ...
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Extracting non linear integrate and fire models from experimental data using dynamic I–V curves
... We used the dynamic I –V curve method to characterize the response properties of neocortical layer-5 pyramidal cells and GABAergic interneurons in current-clamp mode and additio- nally demonstrated that the method can be ...
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Spiking neurons : interacting Hawkes processes, mean field limits and oscillations*
... process in (4) implies that we adopt an integrate-and-fire -mechanism to describe neuronal spiking activity: the process U i ( t ) associated to neuron i accumulates all the past spike e[r] ...
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Model cerebellar granule cells can faithfully transmit modulated firing rate signals
... A crucial assumption of many high-level system models of the cerebellum is that information in the granular layer is encoded in a linear manner. However, granule cells are known for their non-linear and resonant synaptic ...
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Scalable Pulsed Computational Module Using Integrate and Fire Structure and Margin Propagation Algorithm
... The proposed module has three concepts, the first concept is to map the non-linear functions into margin propagation ”MP” [6] which is an approximation function to the log -sum - exp (LSE) expression. The second concept ...
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A CMOS based Neuron Circuit for Spiking Neural Networks with Memristive Synapse
... can integrate spiking pulses or trigger signals and generate a rising-edge pulse for spiking ...the integrate-and-fire circuit, realizing the function of spiking ...the ...
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First passage times in integrate and fire neurons with stochastic thresholds
... leaky integrate–and–fire neuron with deterministic subthreshold dynamics and a firing threshold that evolves as an Ornstein–Uhlenbeck ...traditional integrate-and-fire models and complex ...
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Fundamental Limits of Forced Asynchronous Spiking with Integrate and Fire Dynamics
... In this paper, we address the problem of time-optimal control of spiking in pairs of Leaky Integrate-and-Fire (LIF) neurons, where the desired spiking is selective, that is, certain neurons spike while ...
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A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire Neurons
... of integrate-and-fire ...by integrate- and-fire and dichotomous Gaussian models, and show that the latter is a surprisingly accurate model of the ...
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Responses of Leaky Integrate-and-Fire Neurons to a Plurality of Stimuli in Their Receptive Fields
... Abstract A fundamental question concerning the way the visual world is represented in our brain is how a cortical cell responds when its classical receptive field contains a plurality of stimuli. Two opposing models have ...
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Sí, Se Puede (Yes, We Can), Culturally Relevant Biographies: A study on the impact of culturally relevant biographies on social studies instruction
... Scientists have identified some intrinsic neuronal properties that play an important role in generating membrane potential oscillations for a variety of neuron models. In particular, voltage-gated ion channels are ...
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Analysis of nonlinear noisy integrate & fire neuron models: blow-up and steady states
... Leaky Integrate and Fire (NNLIF) models for neurons networks can be written as Fokker-Planck-Kolmogorov equations on the probability density of neurons, the main parameters in the model being the ...
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Reconstruction of Sensory Stimuli Encoded with Integrate-and-Fire Neurons with Random Thresholds
... We present a general approach to the reconstruction of sensory stimuli encoded with leaky integrate-and-fire neurons with random thresholds. The stimuli are modeled as elements of a Reproducing Kernel ...
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