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Author: Matthias Wulf
Publisher: IOS Press
ISBN: 9783898382540
Category : Computational neuroscience
Languages : en
Pages : 356
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Book Description
Author: Matthias Wulf
Publisher: IOS Press
ISBN: 9783898382540
Category : Computational neuroscience
Languages : en
Pages : 356
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Book Description
Author: Paolo Gaudiano
Publisher:
ISBN:
Category : Retina
Languages : en
Pages : 11
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Book Description
Author: Joao Carlos Martins
Publisher: World Scientific
ISBN: 9814471542
Category : Science
Languages : en
Pages : 271
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Book Description
This book provides a sound mathematical and technical perspective in functional and structural retina models, presents evaluation metrics to assess those models, and provides insights about the models hardware implementation.It begins by introducing the retina anatomy and its workings in a detailed way suitable for an engineering audience, while providing the mathematical analysis of the retina neural response. Moreover, it explores and establishes a framework for the comparison of retina models by organizing a set of metrics for testing and evaluating the different models.The book follows a signal processing perspective, where all models and metrics are discretized in order to be implemented and tested in a digital system, such as a computer or a specialized dedicated hardware device.
Author: Polskie Towarzystwo Matematyczne
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 880
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Book Description
Author: Paolo Gaudiano
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 30
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Book Description
Author: Retina Research Foundation (U.S.). Symposium
Publisher: MIT Press
ISBN: 9780262121545
Category : Neuroreguladores
Languages : en
Pages : 330
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Book Description
Development of the Visual System presents a selection of current studies that clearly illustrate principles of visual system development. These range from retinal development in fish and frogs to the effects of abnormal visual experience on the primary visual cortex of the cat. The book is unique in addressing four specific and fundamental aspects of development: cell lineage and cell fate, specificity and targeting of axons, specification of visual cortex, and correlates of the critical period. Encompassing technical advances in cellular and molecular biology and in video imaging and microscopy, contributions in each of these areas provide new information at the cellular and molecular levels to complement the now classic descriptions of visual development previously available at the level of neural systems.ContributorsKaren L. Allendoerfer, David M. Altshuler, Antonella Antonini, Seymour Benzer, Edward M. Callaway, Constance L. Cepko, Hollis T. Cline, Max S. Cynader, N. W. Daw, Scott E. Fraser, K. Fox, Eckhard Friauf, Anirvan Ghosh, R. W. Guillery, William A. Harris, Christine E. Holt, Lawrence C. Katz, Susan McConnell, Pamela A. Raymond, Thomas A. Reh, Carla J. Shatz, Michael P. Stryker, Claudia A. 0. Stuermer, Mriganka Sur, David L. Turner, T. N. Wiesel
Author: Adrien Wohrer
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
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Book Description
The retina is a complex neural structure. The characteristics of retinal processing are reviewed extensively in Part I of this work: It is a very ordered structure, which proceeds to band-pass spatio-temporal enhancements of the incoming light, along different parallel output pathways with distinct spatio-temporal properties. The spike trains emitted by the retina have a complex statistical structure, such that precise spike timings may play a role in the code conveyed by the retina. Several mechanisms of gain control provide a constant adaptation of the retina to luminosity and contrast. The retina model that we have defined and implemented in Part II can account for a good part of this complexity. It can model spatio-temporal band-pass behavior with adjustable filtering scales, with the inclusion of plausible mechanisms of contrast gain control and spike generation. The gain control mechanism proposed in the model provides a good fit to experimental data, and it can induce interesting effects of local renormalization in the output retinal image. Furthermore, a mathematical analysis confirms that the gain control behaves well under simple sinusoidal stimulation. Finally, the simulator /Virtual Retina/ implements the model on a large-scale, so that it can emulate up to around 100,000 cells with a processing speed of about 1/100 real time. It is ready for use in various applications, while including a number of advanced retinal functionalities which are too often overlooked.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 188
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Book Description
We applied two first-order, linear, time-varying, differential equations to the task of segmenting motion from sequences of images. The equations are modified Grossberg formulas for long-term and short-term memory models characterizing the neurotransmitter and cell-activity levels of a synapse and neuron. We described how a two layered, sensory, neural network can be built using the equations to simulate the amacrine neurons of the retina. The model is defined using adaptive input nodes (adaptive model) and is compared to a similar model without these nodes (O and G model). By replicating the basic amacrine neuron model to form both one- and two-dimensional arrays, we created a novel method for processing images over time and space. To simulate the veto effect observed in shunt inhibitory synaptic junctions, we applied a nonrecurrent, asynchronous, inhibitory region in the receptive field of our amacrine neural model. We show how this effects the performance of the model ill one dimension. In two dimensions we investigate the models' response to synthesized imagery (pristine) and to real, forward looking infrared radar (FLIR) images. The output of our models are further processed through two types of moving-average filters - causal and noncausal.
Author: Masumi Ishikawa
Publisher: Springer Science & Business Media
ISBN: 3540691545
Category : Computers
Languages : en
Pages : 1165
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Book Description
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Author: Guillaume S. Masson
Publisher: Springer Science & Business Media
ISBN: 1441907815
Category : Medical
Languages : en
Pages : 362
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Book Description
Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.
