Speech Recognition Archives — MATLAB Number ONE

Hidroaysen And Patagonia

global MATLAB — Tue, 14 Nov 2017 13:15:19 +0000

introfuction In 2006, amid a national energy crisis, Chilean utility companies Colbún and Endesa S.A. announced a joint venture called HidroAysén, a hydroelectric project proposing to construct five megadams on the Baker and Pascua rivers in Chile’s southernmost region of Patagonia. The majority of the Chilean public opposed the project on environmental and social grounds, […]

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PCI Express Transmission Discussion About Architecture Design For A Neural Spike-Based Data Reduction Platform

global MATLAB — Sun, 12 Nov 2017 11:05:47 +0000

The PCIe transmission using Xillybus IPcore was relatively a straightforward solution for the transmission from the FPGA to the host PC. The Xillybus IPcore provides the necessary DMA-based design and the software driver to handle the data reception at the host. It was convenient for observing the data processed by the hardware design and evaluating […]

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Discussion About Architecture Design For A Neural Spike-Based Data Reduction Platform

global MATLAB — Sun, 12 Nov 2017 10:52:12 +0000

The research presented in this dissertation was motivated by a long term goal of monitoring the electrical activity of thousands of neurons, in an effort to decipher the brain activity. Recording thousands of neural signals may provide some insight in what Santiago Ramón y Cajal, the father of modern neuroscience, called “the impenetrable jungle where […]

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Testing The Integration of Twenty Spike-Detection Units with PCIe Transmission

global MATLAB — Sun, 12 Nov 2017 10:40:54 +0000

In Testing Data Transmission using Real Data Recordings the PCIe data transmission was tested using real neuronal recordings from 2550 channels. The spike times were stored on BRAMs and a model was designed to mimic the Spike Detection Unit function. The design affiliated 48 words to every spike detected, and sent it via PCIe to […]

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Testing Data Transmission using Real Data Recordings

global MATLAB — Sat, 11 Nov 2017 17:43:51 +0000

After testing the data transmission from FPGA to the host, using continuous incrementing counter data, it was desirable to evaluate the data transmission and queue depths needed when the system is handling real neuronal firing rates on hardware. As the spike detection platform is not connected to real data acquisition system, the data was saved […]

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Xillybus IP core Implementation

global MATLAB — Sat, 11 Nov 2017 16:58:30 +0000

The Xillybus IP core was implemented on a Virtex-5 FPGA on a Xilinx xupv5lx110t board. The core ports were connected to ChipScope integrated logic analyzer for on-chip testing. Before integrating the Xillybus IP core into the spike-based data reduction platform, its performance was first tested by transmitting predefined data read from a ROM on the […]

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Hardware Implementation And System Evaluation of Spike-Based Data Reduction Platform

global MATLAB — Fri, 10 Nov 2017 20:19:24 +0000

This chapter details the hardware implementation of the platform design, and how the testing of each building block was performed. The spike detection processing modules were designed using Verilog HDL code. They were simulated using Xilinx® ISim for functional verification. The Xilinx® Core generator was used to configure the integrated blocks on the FPGA such […]

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Simulation Results of Transmitting the APs from the Output Buffers to a Host PC

global MATLAB — Fri, 10 Nov 2017 19:26:05 +0000

The simulation results of the neuronal firing data transmission model show that the bursting and super-bursting times present the most critical intervals for the system. In BMI applications, for example the queuing-based transmission delay must fall below 10 milliseconds. Setting a value for the transmission rate will not only depend on the limits for queuing-based […]

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Spike Detection Units and Setup

global MATLAB — Fri, 10 Nov 2017 19:18:37 +0000

Integration of Several Spike Detection Units: The total number of channels to be processed is reconfigurable. According to the neural signal processing algorithm used, the longest process applied after sample reading was to copy the first 16 samples of an AP. This procedure required nineteen clock cycles. To have an optimum hardware usage, twenty spike-based […]

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Platform Designing of Spike-Based Data

global MATLAB — Fri, 10 Nov 2017 17:33:11 +0000

System Overview: The Neural Spike Detection platform receives time division multiplexed serial samples from a high number of neural recording channels at the multi gigabit receiver port of the FPGA. The receiver performs deserialization of the data and ensures correct sample-word alignment. The system affiliates each sample to its source channel and performs spike detection. […]

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