نتایج جستجو برای: neuron model

تعداد نتایج: 2153304  

1993
Frank Pasemann

The parametrized dynamics of a standard nonlinear model neuron with self-interaction is discussed. For units with a self-excitatory connection a hysteresis effect is observed, and the underlying mechanism is identified as that of a cusp catastrophe. This is true for discrete as well as for continuous dynamics. For the discrete dynamics of self-inhibiting units there appear period-doubling bifur...

2014
Shruti Gupta Jyotsna Singh

Behavioral study of linear model i.e. Integrate and fire model is compared with non-linear model i.e. Hodgkin-Huxley model. Both the models output are affected by Poisson inputs that are correlated positively. Responses of Integrate and fire model and Hodgkin-Huxley models differ in terms of correlated inputs. Linear Integrate and fire model is better for correlated inputs. Non-Linear model dis...

2012
Cem Yucelgen Berat Denizdurduran Selin Metin Rahmi Elibol Neslihan Serap Sengör

Basal ganglia circuits are known to have role in a wide range of behaviour spanning from movement initiation to high order cognitive processes as reward related learning. Here, the intention is to have a biophysically realistic model of basal ganglia circuit for voluntary motor action selection. The ultimate aim is to provide a framework for models which could help comprehension of complex proc...

ژورنال: Anatomical Sciences Journal 2005
Haghir, Hosein, Nam Avar, Mohammad Reza, Sadeghi, Yoosef,

Purpose: The subdivision of claustrum into parts in some species exists in literature. Those are mainly based on a pattern of its connections with various cortical areas, method of staining, immunoreactivity of its neurons etc. The aim of this study was the division of the human claustrum into different parts, for first time, based on morphology, density, arrangement of claustral neurons as wel...

Journal: :Neural networks : the official journal of the International Neural Network Society 2002
Chris Christodoulou Guido Bugmann Trevor G. Clarkson

This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the model as well as its applications in Computational Neuroscience are demonstrated and a learning algorithm based on postsynaptic delays is proposed. The TNLI incorporates temporal dynamics at the neuron level by modelling...

2003
Andres Upegui Carlos Andrés Peña-Reyes Eduardo Sanchez

In this paper we present a functional model of spiking neuron intended for hardware implementation. The model allows the design of speedand/or area-optimized architectures. Some features of biological spiking neurons are abstracted, while preserving the functionality of the network, in order to define an architecture easily implementable in hardware, mainly in field programmable gate arrays (FP...

2012
Sheng-Hsiou Hsu Yae Lim Lee

Independent Component Analysis (ICA) and related algorithms provide a model for explaining how sensory information is encoded in our brains. However, it remains unclear how neural network uses its biological plasticity to achieve this ICA-like processing: maximization of information transmission or minimization of redundancy. Here, we consider a neuron model proposed by Savin, Joshi, and Triesc...

Introduction: Profilin1 (PFN1) is a ubiquitously expressed protein known for its function as a regulator of actin polymerization and dynamics. A recent discovery linked mutant PFN1 to Amyotrophic Lateral Sclerosis (ALS), which is a fatal and progressive motor neuron disease. We have also demonstrated that Gly118Val mutation in PFN1 is a cause of ALS, and the formation of aggregates containing m...

Introduction: Diabetic neuropathy is one of the most common complications of diabetic microvascular. Hence, the present study intended to compare the effect of two protocols of aerobic and resistance exercises on balance and neuron growth factor in men with diabetic neuropathy. Methods: In this experimental study, being diagnosed with neuropathy by a proficient physician, the patients were div...

1997
Abderrahim Labbi Ruggero Milanese Holger Bosch

In this paper we adopt a temporal coding approach to neuronal modeling of the visual cortex, using oscillations. We propose a hierarchy of three processing modules corresponding to di erent levels of representation. The rst layer encodes the input image (stimulus) into an array of units, while the second layer consists of a network of FitzHugh-Nagumo oscillators. The dynamical behaviour of the ...

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