Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits PDF Download
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Author: Dorian Florescu
Publisher: Springer
ISBN: 3319570811
Category : Technology & Engineering
Languages : en
Pages : 148
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Book Description
This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron. Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations. A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.
Author: Dorian Florescu
Publisher: Springer
ISBN: 3319570811
Category : Technology & Engineering
Languages : en
Pages : 148
Get Book Here
Book Description
This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron. Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations. A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.
Author: Miguel A. L. Nicolelis
Publisher: CRC Press
ISBN: 9781420048254
Category : Science
Languages : en
Pages : 288
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Book Description
Neuroscientists have long recognized the importance of understanding the underlying principles of information processing by large populations of neurons. Methods for Neural Ensemble Recordings explores methods for using electrophysiological techniques for monitoring the concurrent activity of ensembles of single neurons. Since current methods allow one to simultaneously record the extracellular activity of up to 100-150 neurons for days or even weeks, neural ensemble recordings have been used to address long-standing issues in development, learning, memory, sensorimotor integration, sensory information processing, and neuronal plasticity. EXAMINES THE MANY POSSIBLE APPLICATIONS FOR THIS REVOLUTIONARY METHOD Each chapter offers a step-by-step description for the implementation of a particular technique or experimental paradigm employing simultaneous multiple electrode recordings. The techniques described can be used in applications that impact a large group of life scientists, including: drug screening (pharmacology) in both in vitro and in vivo preparations developmental studies and studies of neuronal plasticity chronic monitoring of neuronal function in behavioral studies physiological monitoring of neuronal activity in cell cultures and brain slices physiological monitoring of neuronal activity in neurons trafected with genetic vectors chronic monitoring of physiological changes in populations of neurons during learning of new sensorimotor and cognitive tasks
Author: Mark D. McDonnell
Publisher: Frontiers Media SA
ISBN: 2889198847
Category : Neurosciences. Biological psychiatry. Neuropsychiatry
Languages : en
Pages : 158
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Book Description
Stochastic fluctuations are intrinsic to and unavoidable at every stage of neural dynamics. For example, ion channels undergo random conformational changes, neurotransmitter release at synapses is discrete and probabilistic, and neural networks are embedded in spontaneous background activity. The mathematical and computational tool sets contributing to our understanding of stochastic neural dynamics have expanded rapidly in recent years. New theories have emerged detailing the dynamics and computational power of the balanced state in recurrent networks. At the cellular level, novel stochastic extensions to the classical Hodgkin-Huxley model have enlarged our understanding of neuronal dynamics and action potential initiation. Analytical methods have been developed that allow for the calculation of the firing statistics of simplified phenomenological integrate-and-fire models, taking into account adaptation currents or temporal correlations of the noise. This Research Topic is focused on identified physiological/internal noise sources and mechanisms. By "internal", we mean variability that is generated by intrinsic biophysical processes. This includes noise at a range of scales, from ion channels to synapses to neurons to networks. The contributions in this Research Topic introduce innovative mathematical analysis and/or computational methods that relate to empirical measures of neural activity and illuminate the functional role of intrinsic noise in the brain.
Author: Wulfram Gerstner
Publisher: Cambridge University Press
ISBN: 9780521890793
Category : Computers
Languages : en
Pages : 498
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Book Description
Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.
Author: Temel, Turgay
Publisher: IGI Global
ISBN: 1609600207
Category : Medical
Languages : en
Pages : 411
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Book Description
"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.
Author: Guoqi Li
Publisher: Frontiers Media SA
ISBN: 2889637670
Category :
Languages : en
Pages : 234
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Book Description
Author: Nikola K. Kasabov
Publisher: Springer
ISBN: 3662577151
Category : Technology & Engineering
Languages : en
Pages : 742
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Book Description
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Author: Sio-Iong Ao
Publisher: Springer Science & Business Media
ISBN: 9400711921
Category : Technology & Engineering
Languages : en
Pages : 695
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Book Description
A large international conference in Electrical Engineering and Applied Computing was just held in London, 30 June – 2 July, 2010. This volume will contain revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Control Engineering, Network Management, Wireless Networks, Biotechnology, Signal Processing, Computational Intelligence, Data Mining, Computational Statistics, Internet Computing, High Performance Computing, and industrial applications. The book will offer the states of arts of tremendous advances in electrical engineering and applied computing and also serve as an excellent reference work for researchers and graduate students working on electrical engineering and applied computing
Author: Mauro Mangia
Publisher: Springer
ISBN: 3319613731
Category : Technology & Engineering
Languages : en
Pages : 329
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Book Description
This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional “portrait”. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena.
Author: Romain Brette
Publisher: Cambridge University Press
ISBN: 0521516226
Category : Mathematics
Languages : en
Pages : 493
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Book Description
Underlying principles of the various techniques are explained, enabling neuroscientists to extract meaningful information from their measurements.
