Cognitive learning and memory systems using spiking neural networks

... to develop learning and memory models using spiking neural networks in solving cognitive tasks We focus on memory models using spiking neural networks Traditional neural networks and other AI ... existing theories and developing innovative cognitive learning and memory models using spiking neural networks 1.1 1.1.1 Background and Basic Concepts Cognitive Learning and Memory in the Brain ... artiﬁcial memory systems In the following sections, encoding approaches, learning algorithms and memory models in spiking neural networks will be reviewed successively 2.2.1 Neural Coding in Spiking Neural...

Báo cáo vật lý: "SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF Pb(II) AND Cd(II) USING ARTIFICIAL NEURAL NETWORKS" potx

... Pb(II)- PAR and Cd(II)- PAR is 518 and 409 nm, respectively Figure shows the 3D absorbance spectra of mixture of Pb(II) and Cd(II) after reaction with PAR at different concentration of Pb(II) and ... Simultaneous Spectrophotometric Determination of Pb(II) and Cd(II) Network trained with 20 epochs were suitable to be used in predicting the response of the concentration of Pb(II) and Cd(II) since ... appropriate for the simultaneous determination of Pb(II) and Cd(II) The average calibration error was found to be 0.767 for simultaneous determination of Pb(II) and Cd(II) The proposed method has...

Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

... the observations=inputs and the parameter values The M-step involves system identiﬁcation using the state estimates from the smoother Therefore, at the heart of the EM learning procedure is the ... to the height at the corners 194 LEARNING NONLINEAR DYNAMICAL SYSTEMS USING EM Figure 6.5 Summary of the main steps of the NLDS-EM algorithm the goal of the MFA initialization is to capture the ... Since then, there has been similar work applying EM to nonlinear dynamical systems [37, 38] Whereas other work uses sampling for the E-step and gradient M-steps, our algorithm uses the RBF networks...

Temporal coding and learning in spiking neural networks

... Brain-Inspired Spiking Neural Network Model with Temporal Encoding and Learning Neural coding and learning are important components in cognitive memory systems, by processing the sensory inputs and ... build a bio-inspired model of SNNs containing encoding, learning and readout Neural coding and learning are the main considerations in this chapter, since they are important components in cognitive ... and computational power [50] Among 23 CHAPTER A BRAIN-INSPIRED SPIKING NEURAL NETWORK MODEL WITH TEMPORAL ENCODING AND LEARNING different kinds of spiking neuron models, the leaky integrate -and- ﬁre...

The 8051 microcontroller and embedded systems using assembly and c 2nd ed

... University, TAIWAN MICROCONTROLLERS AND EMBEDDED PROCESSORS Microcontrollers for Embedded Systems An embedded product uses a microprocessor (or microcontroller) to one task and one task only There is only ... The 8051 Microcontroller and Embedded Systems Using Assembly and C Second Edition Muhammad Ali Mazidi Janice Gillispie Mazidi Rolin D McKinlay CONTENTS Introduction to Computing The 8051 Microcontrollers ... microprocessor for the embedded market, it optimizes the processor used for embedded systems Very often the terms embedded processor and microcontroller are used interchangeably Department of Computer...

learning and memory - the brain in action

... catocholalllltles include the ncurotr,lllsminers epinephrine, norepinephrint, and dopamine, and the indolemnines include serotOllin llnd me/monin Epinephrine is another name for adrenaline It is released by the ... GABA exists in the areas of the brain dealing with emotions and thinking Glutamare and GABA appear in most information-processing transmissions as onc activa1es cenain neurons and the other quiets ... OS 07 Ni 0\ 10981654 Learning and Memory: The Brain in Action Prt'facc :lnd Acknowledgments' v Losing Your Mind: The Function of Brain Cdls Chicken Soup for the Brain: The Effects of Brtl;n...

Báo cáo hóa học: " Research Article Coexistence Performance of High-Altitude Platform and Terrestrial Systems Using Gigabit Communication Links to Serve Specialist Users" potx

... “Wireless communications system using stratospheric platforms: R and D program on telecom and broadcasting system using high altitude platform stations,” Journal of the Communications Research Laboratory, ... where r is the vector of the aiming point, as is the vector −→ − −→ − of SPP, POI is the vector of POI, PCi is the vector of the peak −−→ −− carrier value, and PCINR is the vector of the peak CINR ... Wireless Communications and Networking HAP station Terrestrial base station Point -to- point terrestrial link Specialist user Specialist user Specialist user Point -to- point terrestrial link Terrestrial...

Studies on the molecular and cellular mechanisms underlying the process of learning and memory formation body

... relation to learning and memory formation requirements Furthermore, the molecular mechanisms underlying the MFs redistribution during learning and memory formation are still under investigation ... hilus and CA3 area, comprise the second synapse of the hippocampal circuit In this trisynaptic model of the hippocampus, based on the observations of the MFs presynapses and their locations, the ... for the investigations on the learning- dependent morphological malleability, as well as the relations of synaptic plasticity with long-lasting memory The correlations between the basal size of the...

Studies on the molecular and cellular mechanisms underlying the process of learning and memory formation

... 5.2.3.1 Fear conditioning training 115 5.2.3.2 Short-term contextual memory and cued memory test 115 5.2.3.3 Retention and extinction of long-term contextual memory and cued memory ... which have been done in this thesis to investigate the underlying mechanisms of learning process and long-term memory formation In part I, two projects have been focused on the hippocampal mossy ... and x long-term memory procedures Investigations on the learning- induced presynaptic plasticity might shed lights on the complicated mechanisms underlying the hippocampalrecruited long-term memory...

vehicle signal analysis using artificial neural networks

... accuracy for the estimating gross vehicle weight (GVW); however the accuracy decreased for individual axle weights [10] The application of artificial neural networks (ANN) to the B-WIM was attempted ... of passing vehicles, individual ANNs for 3-, 4-, and 5-axle trucks were constructed and trained using random vehicles’ data When training was completed, the validation test followed using the ... Bridge, respectively 2.5 Characteristics of B-WIM Signals Representative B-WIM signals are illustrated below, and the characteristics of the signals are discussed in this section As proven in...

audio to visual speech synthesis using artificial neural networks

... acoustic speech and the appropriate visual speech movements by training an artificial neural network to associate or map fundamental acoustic properties of auditory speech to our visible speech ... auditory /visual speech, A representation of both the auditory and visual speech Some method to describe the relationship between two representations, and A technique to synthesize the visible speech ... auditory speech There are several labeled databases of auditory speech but no readily available labeled databases of visual speech Given the lack of databases for visible speech, investigators...

large pattern recognition system using multi neural networks - codeproject

... messages have been posted for this article Visit http://www .codeproject. com/Articles/376798/Largepattern -recognition- system- using- multi- neura to post and view comments on this article, or click ... pattern will be transferred to the next network until the system can recognize it correctly Figure 3: Convolution neural network with unknown output Figure 4: Recognition System using multi neural ... particular Recognition rate significantly increate when using additional spell checker module Neural network for a recognition system In the traditional model of pattern recognition, a hand-designed...

Automotive Informatics and Communicative Systems: Principles in Vehicular Networks and Data Exchange ppt

... Automotive Informatics and Communicative Systems: Principles in Vehicular Networks and Data Exchange Huaqun Guo Institute for Infocomm Research, A*STAR, Singapore Information science ... Cataloging -in- Publication Data Automotive informatics and communicative systems : principles in vehicular networks and data exchange / Huaqun Guo, editor p cm Includes bibliographical references and index Summary: ... A*STAR, Singapore Chapter I Introduction: An Emerging Area of Vehicular Networks and Data Exchange Huaqun Guo Institute for Infocomm Research, A*STAR, Singapore ABSTRtract Emerging vehicular networks...

using artificial neural networks to identify image spam

... over 50% of total spam received was image spam It has since declined and now account for around 20% [13] According to the paper, Image Spam – the New Face of Email Threat, image spam forms around ... checks images to see if they contain similarities to cataloged spam images • Image property space, a technique that uses rules to extract properties of images in an email that might be spam • ... USING ARTIFICIAL NEURAL NETWORKS TO IDENTIFY IMAGE SPAM Priscilla Hope Thesis Approved: Accepted: _ Advisor...

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