نتایج جستجو برای: adaptive neuron

تعداد نتایج: 262505  

2004
Daniel Ben-Dayan Rubin Elisabetta Chicca Giacomo Indiveri

We describe the response properties of a compact, low power, analog circuit that implements a model of a leaky I&F neuron, with spike-frequency adaptation, refractory period and voltage threshold modulation properties. We investigate the statistics of the circuit’s output response by modulating its operating parameters, like refractory period and adaptation level and by changing the statistics ...

Ariane Sadr-Nabavi Farah Ashrafzadeh, Javad Akhondian, Mehran Beiraghi Toosi, Nazanin Asadian

Spinal muscular atrophy (SMA) is a genetic disorder which affect nervous system and is characterized with progressive distal motor neuron weakness. The survival motor neuron (SMN) protein level reduces in patients with SMA. Two different genes code survival motor neuron protein in human genome. Skeletal and intercostal muscles denervation lead to weakness, hypotony, hyporeflexia, respiratory fa...

2014
Hong Li Ali Setoodehnia

This paper presents analysis of a modified Feed Forward Multilayer Perceptron (FMP) by inserting an ARMA (Auto Regressive Moving Average) model at each neuron (processor node) with the Backp ropagation learning algorithm. The stability analysis is presented to establish the convergence theory of the Back propagation algorithm based on the Lyapunov function. Furthermore, the analysis extends the...

2016
Nadji HADROUG Ahmed HAFAIFA Abdellah KOUZOU Ahmed CHAIBET Houman Hanachi

The main aim of the present paper is the implementation of a fault detection strategy to ensure the fault detection in a gas turbine which is presenting a complex system. This strategy is based on an adaptive hybrid neuro fuzzy inference technique which combines the advantages of both techniques of neuron networks and fuzzy logic, where, the objective is to maintain the desired performance of t...

Journal: :مجله علوم اعصاب شفای خاتم 0
fariba karimzdeh shefa neuroscience research center, khatam alanbia hospital, tehran, iran. fatemeh alipour shefa neuroscience research center, khatam alanbia hospital, tehran, iran. elham mohammadzadeh a. shefa neuroscience research center, khatam alanbia hospital, tehran, iran. b. biology and anatomical sciences department, medical faculty, shahid beheshti university of medical sciences, tehran, iran.

delayed neuronal death after seizure attack may be mediated by the induction of apoptosis-pathway. caspase-3, a mammalian cysteine protease, promotes apoptosis after some neurological disorders. neuron regeneration peptides (nrps) are small synthetic peptides that stimulate neural proliferation, migration, and differentiation with no apparent toxicity and high target specificity in cns. in the ...

Journal: :iranian journal of science and technology (sciences) 2014
h. r. momeni

in this study organotypic adult spinal cord slices were used to investigate whether caspases could participate in the apoptosis of motor neurons. the thoracic region of spinal cord was sliced using a tissue chopper and cultured in a medium for 6h. morphological and biochemical features of apoptosis were assessed by fluorescent staining and terminal deoxynucleotidyl nick end labeling (tunel) met...

Journal: :physiology and pharmacology 0
abdolrahman sarihi department of physiology, hamadan university of medical sciences, shahid fahmideh avenue, hamadan, iran alireza komaki department of physiology, hamadan university of medical sciences, shahid fahmideh avenue, hamadan, iran tadaharu tsumoto neuronal circuit mechanism research group, riken brain science institute, wako-shi, saitama, japan

introduction: (s)- 3,5-dihydroxyphenylglycine (dhpg) is an agonist for group i metabotropic glutamate receptors. dhpg-induced synaptic depression of excitatory synapses on hippocampal pyramidal neurons is well known model for synaptic plasticity studies. the aim of the present study was to examine the effects of dhpg superfusion on excitatory synapses on pyramidal and fast-spiking gabaergic cel...

2010
Agya Mishra

Noise cancellation in the field of Adaptive filtering has become the essential requirement of the signal processing .The standard multilayer perceptron (MLP) model of Neural Networks is now popular in Adaptive filtering This paper presents the noise-cancellation technique based on Generalized-mean neuron network (GMN). This network consists of an aggregation function, which is based on the gene...

2017
Benjamin R. Cowley Ryan C. Williamson Katerina Clemens Matthew A. Smith Byron M. Yu

Adaptive stimulus selection methods in neuroscience have primarily focused on maximizing the firing rate of a single recorded neuron. When recording from a population of neurons, it is usually not possible to find a single stimulus that maximizes the firing rates of all neurons. This motivates optimizing an objective function that takes into account the responses of all recorded neurons togethe...

1997
A. Neil Birkett Rafik A. Goubran

This paper focuses on multilayer perceptron neural networks where the activation functions are adaptive and where each neuron synapse is modelled by a finite impulse response (FIR) filter. A simplified architecture consisting of a variable activation (VA) function which is sandwiched between two FIR synapses is studied. The VA function consists of a mixed linear-tanh sigmoid with a parameter wh...

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