A Neuron Model with Spatially Distributed Synaptic Input
نویسندگان
چکیده
منابع مشابه
Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input
An important task performed by a neuron is the selection of relevant inputs from among thousands of synapses impinging on the dendritic tree. Synaptic plasticity enables this by strenghtening a subset of synapses that are, presumably, functionally relevant to the neuron. A different selection mechanism exploits the resonance of the dendritic membranes to preferentially filter synaptic inputs ba...
متن کاملTwo-Compartment Stochastic Model of a Neuron with Periodic Input
A neuronal model made of two interconnected parts-a den-drite and a trigger zone-is considered under the action of white noise and periodic inputs acting on the dendritic compartment. It is shown analytically how the variability of the depolarization potential is decreased from the dendritic to the trigger zone for subthreshold behavior. These ltering properties of the model are also shown when...
متن کاملA spatially distributed model for foreground segmentation
Foreground segmentation is a fundamental first processing stage for vision systems which monitor real-world activity. In this paper we consider the problem of achieving robust segmentation in scenes where the appearance of the background varies unpredictably over time. Variations may be caused by processes such as moving water, or foliage moved by wind, and typically degrade the performance of ...
متن کاملA spatially distributed flash flood forecasting model
This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model structure defined at the model element scale and multi-source model identification. The model represents runoff generation on a grid basis and...
متن کاملSpatial neuron model with two-parameter Ornstein–Uhlenbeck input current
We consider a new and extended spatial neuron model in which the neuronal electrical depolarization from resting level satisfies a cable partial differential equation. The synaptic input current is also a function of space and time and satisfies a first order linear partial differential equation driven by a two-parameter random process. A natural choice for these random input processes is to ma...
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: Biophysical Journal
سال: 1971
ISSN: 0006-3495
DOI: 10.1016/s0006-3495(71)86218-5