Publication

Effective minimal threshold models of neuronal activity

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Effective minimal threshold models of neuronal activity

Graph Chatbot

Chat with Graph Search

Extracting non-linear integrate-and-fire models from experimental data using dynamic I – V curves

Quantitative single-neuron modeling: competition 2008

The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro

Predicting single spikes and spike patterns with the Hindmarsh–Rose model

Firing patterns in the adaptive exponential integrate-and-fire model

Predicting spike timing of neocortical pyramidal neurons by simple threshold models

A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity

Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy

The Spike Response Model: A Framework to Predict Neuronal Spike Trains