Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks
نویسندگان
چکیده
منابع مشابه
Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim
Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal interaction of current sources and dipoles. Mathematical computations of LFPs allow the study of circuit functions and dysfunctions via simulations. This paper introduces LFPsim, a NEURON-based tool for computing population LFP activity and single neuron extracellular potentials. LFPsim was developed to be ...
متن کاملModeling Local Field Potentials with Recurrent Neural Networks
18 We present a Recurrent Neural Network using LSTM (Long Short Term 19 Memory) units that is capable of modeling Local Field Potentials. We train 20 and test the network on real data recorded from patients. We construct 21 networks that are capable of modeling LFPs in single and multiple channels, 22 and can also model LFP dynamics after stimulation. 23 24
متن کاملHippocampal Neuron Firing and Local Field Potentials In
12 13 14 15 Running title: Spikes & LFPs in an in vitro epilepsy model 16 17 18 Number of pages: 35 19 Number of figures: 7 20 Abstract: 212 words; Introduction: 471 words; Discussion: 1048 words; Conclusion: 52 21 22 23 24 25 26 Corresponding author: Dr. Alfredo Gonzalez-Sulser 27 Interdisciplinary Program in Neuroscience 28 3900 Reservoir Road NW, Basic Science Bldg, Suite. 225 29 Washington,...
متن کاملInferring Cortical Variability from Local Field Potentials.
UNLABELLED The responses of sensory neurons can be quite different to repeated presentations of the same stimulus. Here, we demonstrate a direct link between the trial-to-trial variability of cortical neuron responses and network activity that is reflected in local field potentials (LFPs). Spikes and LFPs were recorded with a multielectrode array from the middle temporal (MT) area of the visual...
متن کاملInferring spike trains from local field potentials.
We investigated whether it is possible to infer spike trains solely on the basis of the underlying local field potentials (LFPs). Using support vector machines and linear regression models, we found that in the primary visual cortex (V1) of monkeys, spikes can indeed be inferred from LFPs, at least with moderate success. Although there is a considerable degree of variation across electrodes, th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cerebral Cortex
سال: 2016
ISSN: 1047-3211,1460-2199
DOI: 10.1093/cercor/bhw237