Bioelectronic Vision: Retina Models, Evaluation Metrics, and System DesignWorld Scientific, 2009 - 246 páginas 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. |
Índice
1 Introduction to Bioelectronic Vision | 1 |
2 The Human Visual System | 21 |
3 Characterization of the Neural Response | 57 |
4 Retina Models | 113 |
5 Neural Activity Metrics and Models Assessment | 155 |
6 Design and Implementation of Bioelectronic Vision Systems | 199 |
| 233 | |
| 241 | |
Outras edições - Ver tudo
Bioelectronic Vision: Retina Models, Evaluation Metrics, and System Design Jo?o C. Martins Pré-visualização limitada - 2009 |
Bioelectronic Vision: Retina Models, Evaluation Metrics, and ..., Volume 5 João Carlos Martins,Leonel Augusto Sousa Pré-visualização indisponível - 2009 |
Palavras e frases frequentes
action potential Algorithm amacrine cells average axon bioelectronic vision system bipolar cells blind block brain calculate channels components cones corresponding cortical CORTIVIS Dayan and Abbot density deterministic model discrete distance distribution dtime electrical Encoder epiretinal equal equation filter firing events fovea function Gaussian horizontal cells implementation impulse response instant integral integrate-and-fire model interspike interval metric Laplace transform light membrane module neural code neural response Neuromorphic neuron neuroprosthesis NMSE nonlinear number of spikes obtained optic nerve output parameter phosphenes photoreceptors Poisson process probability prosthesis pulses random receptive field refractory period retina models retinal ganglion cells sampling period sequence set of spike signal processing spatial spike events metric spike occurring spike time metric spike trains sspk stochastic subretinal implant synapse temporal trials types variable vector visual cortex visual neuroprostheses visual pathway visual system white noise z-transform