Retinal Prosthesis Dissertation - Student Home Pages

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Axons Synapses x 1 w 1 Dendrites x 2 w 2 Body x 3 x n w 3 w n ∑ Axon ƒ y = Output v Non- Linearity w 0 Input Weights 1 Bias (b) y f n i1 ( w x w0) i i Figure 11 neuronic detail From the model we find that the input (v) i.e. induced local field of the neuron to the activation function; in this case a hard limiter, is: n v wi x i1 i b (2) Where b refers to the bias, w the particular weight for an input, x a particular input and v the hard limiter input. The aim of the perceptron is to correctly classify the set of inputs into either one class or the other. That is to one class if the perceptron output is > 0 (or 0) and to the other if it is
is correct (one class) and -1 (the remaining class) if the perceptron answer is wrong. And y = binary output signal. In its simplest form the two decision regions are separated by a hyperplane defined by: n i wi xi b 0 (3) i1 Referring back to equation (2) it can be said that more generally (taking into account one neuron connecting to another) that the induced local field of the neuron to the activation function is: net j w n 0 xiwij (4) i1 Where w 0 is the bias and is considered to be connected to a unit that always has an activation of 1; x i is the activation for neuron i and w ij is the weight connecting from neuron i to neuron j. 2.2.5 Linear separability The following figure illustrates the concept of linear separability – the pattern classes can be separated into two classes by drawing a single line. The figure shows four example pattern sets: the first is linearly separable and the other three are not. In this example each pattern consists of a vector of two real numbers graphed as a single point in the diagram. Patterns in the first class are graphed as points in the clear area and patterns in the second class are graphed as points in the shaded area. 32 of 200
Page 1 and 2: An Address Event Representation (AE
Page 3 and 4: Abstract\Foreword This document pro
Page 5 and 6: Contents An Address Event Represent
Page 7 and 8: --Appendix E FPGA Outputs .........
Page 9 and 10: Figure 48 receiver rtl_16 .........
Page 11 and 12: Chapter 1 Introduction/research aim
Page 13 and 14: foveola (fovea pit) there is a one
Page 15 and 16: NB that the photoreceptors of the f
Page 17 and 18: electrodes to be driven implies sti
Page 19 and 20: Typically AER is used as a multi se
Page 21 and 22: Real time - innerpulse relationship
Page 23 and 24: the post processing stage of this w
Page 25 and 26: Appendix C: FPGA Sender chip Append
Page 27 and 28: Red (660nm) R / G Red ( 620750nm )
Page 29 and 30: 1 0 1 1 0 0 1 1 0 1 1 1 Table 3 `xo
Page 31: Adaptive linear combiner w 0 1 Let
Page 35 and 36: x2 Linear separation 1.00 0.90 0.80
Page 37 and 38: This is also the Cartesian co-ordin
Page 39 and 40: 2.4 Comparison to Frame Based Repre
Page 41 and 42: Typical GOP structure (Typically an
Page 43 and 44: point is an event occurs for spike
Page 45 and 46: 2.5.1 Files in Appendix A “ycut.m
Page 47 and 48: MPEG-2 setup AER setup Camera Camer
Page 49 and 50: 2.6.2 FPGA representation of epi_re
Page 51 and 52: Chapter 3 Concepts An epiretinal im
Page 53 and 54: AER Transmission lines INPUT image
Page 55 and 56: electrical pulse generated is calle
Page 57 and 58: Figure 25 Retinal colour processing
Page 59 and 60: cells to modulate this luminance pa
Page 61 and 62: L+ M- + - R-G G-R B-Y Y-B Note: L(r
Page 63 and 64: 3.6.2 Retinal operations Light reac
Page 65 and 66: quantified by number of cycles pres
Page 67 and 68: (Where * is the convolution operato
Page 69 and 70: T frame C * R * M p Tpacket i.e. Tp
Page 71 and 72: e relaxed and from (2) the temporal
Page 73 and 74: one tw o three four five six seven
Page 75 and 76: 3.8.1 Other test images For other b
Page 77 and 78: Tspike (4ms) Ispike (16ms: interspi
Page 79 and 80: INDIGO ORANGE YELLOW MAGENTA CYAN B
Page 81 and 82: 4.1 Sender concepts From chapter on
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pixel must equate to 0.02/1024 i.e.
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Clocking hierarchy (32 by 32 image)
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the number of address bits will alt
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Translation report, (3) Map report,
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90 of 200 CLKIN_IN RST_IN pixelcloc
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incorporate colour planes for each
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Chapter 5 Receiver chip The followi
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5.2 Power Analysis Xilinx FPGAs hav
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98 of 200 produce_wire _outputs Ins
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5.5.1 Incoming (short) AER stream T
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Receiver Red plane r1 DAC (4-bit) T
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5.8.2 Electrode size and positionin
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sequence of wiring from the receive
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does this is to inject an equivalen
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6.2.2 Envisaged retinal array This
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a monochrome camera in this space i
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632mW) thus extending battery life
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For the implemented/structural case
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The sender and receiver circuitry p
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Bibliography 1. Woodburn R. Murray
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38. Banks, D.J., P. Degenaar, and C
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74. Freeman, J.A., Skapura, D. M.,
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109. Weiland, J.D., et al. Progress
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141. Indiveri G. Chicca E. Douglas
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172. Singh, P.R., et al. A matched
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206. Stieglitz, T., et al. Developm
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xmixedsource; numberOfFrames = 8; f
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%check {k} =imread (['D:\abc\subima
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%Two for loops the first (outer loo
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%Row break rr6c1=000; rr6c2=000; rr
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--Appendix B FPGA Test setup librar
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stream_blue_pulse_count: out std_lo
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DVI_XCLK_P clock_25MHz, spike_cloc
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use IEEE.STD_LOGIC_UNSIGNED.ALL; --
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--Appendix C FPGA Sender chip libra
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-- else -- resit '1', CLKDV_OUT =>
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FPGA Receiver (structural) chip --A
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FPGA Receiver (structural) chip --E
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FPGA Receiver (structural) chip --r
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FPGA Receiver (structural) chip blu
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FPGA Receiver (structural) chip con
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FPGA Receiver (structural) chip --s
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FPGA Receiver (structural) chip --
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FPGA Receiver (structural) chip --
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FPGA Receiver (structural) chip IO_
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Number with an unused LUT 18 219 8%
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IO Utilization: Number of IOs: 26 N
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The Slice Logic Distribution report
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Router effort level (-rl): Standard
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oming_clock | HOLD | 0.519ns| | 0|
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Part | xc5vlx50tff1136-3 | Process
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Selected Device: 5vlx50tff1136-3 Sl
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used in combination with MAP -timin
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Data Sheet report: ----------------
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“For these implantable devices to
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microstimulator with a 1:4 demultip
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“Medical experiments have estimat
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A Retinomorphic Vision System “In
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“The common language of neuromorp
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