نتایج جستجو برای: adaptive neuron

تعداد نتایج: 262505  

Journal: :JCP 2013
Xi Cai Guang Han Jinkuan Wang

To take full advantage of global features of source images, we propose an image fusion method based on adaptive unit-linking pulse coupled neural networks (ULPCNNs) in the contourlet domain. Considering that each high-frequency subband after the contourlet decomposition has rich directional information, we employ directional contrast of each coefficient as the external stimulus to inspire each ...

2007
Chun-Jung Chen Tien-Chi Chen

This paper presents a new two-layer recurrent neural network (RNN) for a power system stabilizer (PSS) design called the recurrent neural network power system stabilizer (RNNPSS). The RNNPSS consists of a recurrent neural network identifier (RNNI) that tracks and identifies the power generator and a recurrent neural network controller (RNNC) that supplies an adaptive signal to the governor and ...

Journal: :Neural networks : the official journal of the International Neural Network Society 2010
Pavel Kordík Jan Koutník Jan Drchal Oleg Kovárík Miroslav Cepek Miroslav Snorek

Optimization of neural network topology, weights and neuron transfer functions for given data set and problem is not an easy task. In this article, we focus primarily on building optimal feed-forward neural network classifier for i.i.d. data sets. We apply meta-learning principles to the neural network structure and function optimization. We show that diversity promotion, ensembling, self-organ...

2014
M. R. Rahmani Mehdiabadi E. Rouhani S. K. Mousavi Mashhadi A. A. Jalali

This paper addresses synchronizing two coupled chaotic FitzHugh-Nagumo (FHN) neurons with weakly gap junction under external electrical stimulation (EES). To transmit information among coupled neurons, by generalization of the integer-order FHN equations of the coupled system into the fractional-order in frequency domain using Crone approach, the behavior of each coupled neuron relies on its pa...

2012
A. Moujahid A. d'Anjou F. J. Torrealdea

The use of spikes to carry information between brain areas implies complete or partial synchronization of the neurons involved. The degree of synchronization reached by two coupled systems and the energy cost of maintaining their synchronized behaviour is highly dependent on the nature of the systems. For non-identical systems the maintenance of a synchronized regime is energetically a costly p...

Journal: :Science 1997
L F Abbott J A Varela K Sen S B Nelson

Cortical neurons receive synaptic inputs from thousands of afferents that fire action potentials at rates ranging from less than 1 hertz to more than 200 hertz. Both the number of afferents and their large dynamic range can mask changes in the spatial and temporal pattern of synaptic activity, limiting the ability of a cortical neuron to respond to its inputs. Modeling work based on experimenta...

2018
Syed Ahmed Aamir Paul Mueller Gerd Kiene Laura Kriener Yannik Stradmann Johannes Schemmel Karlheinz Meier

Here we describe a multi-compartment neuron circuit based on the Adaptive-Exponential I&F (AdEx) model, developed for the second-generation BrainScaleS hardware. Based on an existing modular Leaky Integrate-and-Fire (LIF) architecture designed in 65 nm CMOS, the circuit features exponential spike generation, neuronal adaptation, inter-compartmental connections as well as a conductance-based res...

2013
Seth D. Koehler Susan E. Shore

Multisensory neurons in the dorsal cochlear nucleus (DCN) show long-lasting enhancement or suppression of sound-evoked responses when stimulated with combined somatosensory-auditory stimulation. By varying the intervals between sound and somatosensory stimuli we show for the first time in vivo that DCN bimodal responses are influenced by stimulus-timing dependent plasticity. The timing rules an...

2017
Mei-Fang Xiao Desheng Xu Michael T Craig Kenneth A Pelkey Chun-Che Chien Yang Shi Juhong Zhang Susan Resnick Olga Pletnikova David Salmon James Brewer Steven Edland Jerzy Wegiel Benjamin Tycko Alena Savonenko Roger H Reeves Juan C Troncoso Chris J McBain Douglas Galasko Paul F Worley

Memory loss in Alzheimer's disease (AD) is attributed to pervasive weakening and loss of synapses. Here, we present findings supporting a special role for excitatory synapses connecting pyramidal neurons of the hippocampus and cortex with fast-spiking parvalbumin (PV) interneurons that control network excitability and rhythmicity. Excitatory synapses on PV interneurons are dependent on the AMPA...

2013
Vijaykumar Sutariya Anastasia Groshev Prabodh Sadana Deepak Bhatia Yashwant Pathak

Artificial neural networks (ANNs) technology models the pattern recognition capabilities of the neural networks of the brain. Similarly to a single neuron in the brain, artificial neuron unit receives inputs from many external sources, processes them, and makes decisions. Interestingly, ANN simulates the biological nervous system and draws on analogues of adaptive biological neurons. ANNs do no...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید