Integrate-and-fire Neurons Matched to Physiological F-i Curves Yield High Input Sensitivity and Wide Dynamic Range

نویسندگان

  • Todd W. Troyer
  • Kenneth D. Miller
چکیده

Simple integrate-and-re neurons that accurately reproduce in vitro data from cortical regular spiking cells can display surprisingly sophisticated behavior. To reproduce in vitro f-I plots, voltage after spikes was reset to 5 mV below threshold , and simple spike rate adaptation was added. Small reset results in input sensitivity (high gain) on short time scales; adaptation leads to wide dynamic range over longer time scales. The model displays physiological ISI variability using either delta function or temporally realistic synaptic conductances. Cross correlation between pre-and post-synaptic spikes suggests that cortical neurons may be capable of transmitting information on the millisecond time scale.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Approximation to the Adaptive Exponential Integrate-and-Fire Neuron Model Allows Fast and Predictive Fitting to Physiological Data

For large-scale network simulations, it is often desirable to have computationally tractable, yet in a defined sense still physiologically valid neuron models. In particular, these models should be able to reproduce physiological measurements, ideally in a predictive sense, and under different input regimes in which neurons may operate in vivo. Here we present an approach to parameter estimatio...

متن کامل

Linear versus nonlinear signal transmission in neuron models with adaptation currents or dynamic thresholds.

Spike-frequency adaptation is a prominent aspect of neuronal dynamics that shapes a neuron's signal processing properties on timescales ranging from about 10 ms to >1 s. For integrate-and-fire model neurons spike-frequency adaptation is incorporated either as an adaptation current or as a dynamic firing threshold. Whether a physiologically observed adaptation mechanism should be modeled as an a...

متن کامل

Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations

Spike frequency adaptation is an important cellular mechanism by which neocortical neurons accommodate their responses to transient, as well as sustained, stimulations. This can be quantified by the slope reduction in the f-I curves due to adaptation. When the neuron is driven by a noisy, in vivo-like current, adaptation might also affect the sensitivity to the fluctuations of the input. We inv...

متن کامل

Realistic Models of Neurons and Neuronal Networks

integrate and fire model#rate model#conductance models#synaptic model#multicompartment model integrate and fire model leaky integrate and fire model rate model synaptic input to the integrate and fire model conductance models kinetic models of ionic channels synaptic input to conductance models models of synaptic modification multicompartmental models This is an article that describes realistic...

متن کامل

A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses

We present a VLSI device comprising an array of leaky integrate–and– fire (I&F) neurons and adaptive synapses with spike–timing dependent plasticity (STDP). The neurons transmit spikes off chip and the synapses receive spikes from external devices using a communication protocol based on the “Address– Event Representation” (AER). We studied the response properties of the neurons in the array to ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997