M-type potassium conductance controls the emergence of neural phase codes: a combined experimental and neuron modelling study.

نویسندگان

  • Jeehyun Kwag
  • Hyun Jae Jang
  • Mincheol Kim
  • Sujeong Lee
چکیده

Rate and phase codes are believed to be important in neural information processing. Hippocampal place cells provide a good example where both coding schemes coexist during spatial information processing. Spike rate increases in the place field, whereas spike phase precesses relative to the ongoing theta oscillation. However, what intrinsic mechanism allows for a single neuron to generate spike output patterns that contain both neural codes is unknown. Using dynamic clamp, we simulate an in vivo-like subthreshold dynamics of place cells to in vitro CA1 pyramidal neurons to establish an in vitro model of spike phase precession. Using this in vitro model, we show that membrane potential oscillation (MPO) dynamics is important in the emergence of spike phase codes: blocking the slowly activating, non-inactivating K+ current (IM), which is known to control subthreshold MPO, disrupts MPO and abolishes spike phase precession. We verify the importance of adaptive IM in the generation of phase codes using both an adaptive integrate-and-fire and a Hodgkin-Huxley (HH) neuron model. Especially, using the HH model, we further show that it is the perisomatically located IM with slow activation kinetics that is crucial for the generation of phase codes. These results suggest an important functional role of IM in single neuron computation, where IM serves as an intrinsic mechanism allowing for dual rate and phase coding in single neurons.

برای دانلود 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

Neural Network Modelling of Optimal Robot Movement Using Branch and Bound Tree

In this paper a discrete competitive neural network is introduced to calculate the optimal robot arm movements for processing a considered commitment of tasks, using the branch and bound methodology. A special method based on the branch and bound methodology, modified with a travelling path for adapting in the neural network, is introduced. The main neural network of the system consists of diff...

متن کامل

Prediction of Deformation of Circular Plates Subjected to Impulsive Loading Using GMDH-type Neural Network

In this paper, experimental responses of the clamped mild steel, copper, and aluminium circular plates are presented subjected to blast loading. The GMDH-type neural networks (Group Method of Data Handling) are then used for the modelling of the mid-point deflection thickness ratio of the circular plates using those experimental results. The aim of such modelling is to show how the mid-point de...

متن کامل

اثر ریز جانداران محرک رشد گیاه بر افزایش کارایی مصرف آب یونجه در شرایط محدودیت آبی

In order to study the effect of bacterial growth on water use efficiency of alfalfa, a greenhouse experiment, as factorial based on completely randomized blocks design with three replications, was conducted at Faculty of Agriculture, University of Mohaghegh Ardabili, Ardabil, Iran, in 2012. Treatments consisted of 3 levels of water stress (75, 55 and 35% of field capacity) and seed inoculation ...

متن کامل

Implementation of a programmable neuron in CNTFET technology for low-power neural networks

Circuit-level implementation of a novel neuron has been discussed in this article. A low-power Activation Function (AF) circuit is introduced in this paper, which is then combined with a highly linear synapse circuit to form the neuron architecture. Designed in Carbon Nanotube Field-Effect Transistor (CNTFET) technology, the proposed structure consumes low power, which makes it suitable for the...

متن کامل

A new circuit model for the Parameters in equations of low power Hodgkin-Huxley neuron cell

In this paper, α and β parameters and gating variables equations of Hodgkin-Huxley neuron cell have been studied. Gating variables show opening and closing rate of ion flow of calcium and potassium in neuron cell. Variable functions α and β, are exponential functions in terms of u potential that have been obtained by Hodgkin and Huxley experimentally to adjust the equations of neural cells. In ...

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

برای دانلود 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

عنوان ژورنال:
  • Journal of the Royal Society, Interface

دوره 11 99  شماره 

صفحات  -

تاریخ انتشار 2014