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An AER Analog Silicon Cochlea Model using Pseudo Floating Gate Transconductors

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Title: An AER Analog Silicon Cochlea Model using Pseudo Floating Gate Transconductors


1
An AER Analog Silicon Cochlea Model using Pseudo
Floating Gate Transconductors
  • Master Thesis in
  • Electronics and Computer Science,
  • Microelectronics Programme,
  • University of Oslo
  • by
  • Hans Kristian Otnes Berge

2
Thesis assignment
  • Design and produce an Analog VLSI Cochlea with an
    Adress-Event Representation (AER) output
    interface, using Pseudo Floating-Gate Inverters
    as transconductors.

3
The Human Ear
  • Sound waves set the middle ear bones in motion.
  • Amplification from the tympanic membrane to the
    oval window.
  • The cochlea converts the waves into a neural code.

4
The Cochlea
  • Oval window movement causes a travelling wave on
    the Basilar Membrane (BM).
  • The inner hair cell (IHC) transforms the motion
    into a neural signal.

Unrolled cochlea
5
Cochlea tuning curves
  • Large sensitivity range, almost 6 orders of
    magnitude.
  • A BM site responds best to a Characteristic
    Frequency (CF)
  • CFs gradually change from high at the base to
    low at the apex.

6
Inner Hair Cell (IHC) Transduction
  • Molecular chains open ion channels in the tips of
    the stereocilia.
  • Ions flow through the channels and activate
    voltage gated ion channels along the IHC lateral
    wall.
  • Glutamate is released from the base into synapses
    leading to Auditory Nerves (AN).

7
Circuit implementation
  • Cascaded second order filters approximate basilar
    membrane response.
  • Halfwave rectification and integratefire neurons
    approximate IHCAN response.
  • Digital circuits handle the output spikes and
    transmit these on a common bus.

8
Second order filter
Second order section using differential
transconductance amplifiers.
  • Similar response compared to BM response curves.
  • Cascaded second order sections provide
    pseudo-resonance and steep roll-off.

Simulation of 32 cascaded second order sections.
Normalized response of several cascaded ideal
second order sections with a gradient of fcs.
9
Pseudo Floating-GateSecond order filter
(Left) Varying the filter cut-off by varying the
bias voltages of the first and second inverter by
the same amount.
(Right) The second order section implemented with
Pseudo Floating-Gate Inverters
(Left) Varying the filter Q by adjusting the bias
voltages of the first and second inverter
independently.
(Right) Typical mean ac simulation of 32 cascaded
second order sections.
10
Pseudo Floating-Gate (PFG) Inverter
  • An inverting amplifier.
  • Transconductance and output offset is tuned by a
    pair of voltages Vp, Vn.
  • May have many inputs.

11
Pseudo Floating-Gate InverterSimplified Small
Signal Model
May use C3 to increase attenuation in the
stop-band somewhat. It may also be used to
attenuate noise at Vp and Vn nodes.
Mismatch between C1 and C2 may affect
low-frequency gain and cut-off frequency. The
amount of mismatch shown here is - 5
12
Pseudo Floating-Gate InverterMonte Carlo
Simulations
  • Simulating process and mismatch variation with
    zero device correlation (worst case).

W/L 50/0.35
W/L 50/2
Output offset variation between two equally
biased PFG inverters. Short transistors have
lower gain.
Cutoff (-3dB) ratio (fc1/fc2) between two equally
biased PFG inverters. The denominator cutoff is
along the x-axis.
Variations in low-frequency gain of a PFG
inverter.
W/L 50/0.35
W/L 50/0.35
13
Pseudo Floating-GateBiasing Circuits
  • Was a major difficulty with the work in this
    master project.
  • Non-linear circuits may exhibit chargepumping
  • For low Vth processes, the channel current
    dominates for a diode-connected transistor at
    zero gate-source voltage.

Above Some earlier proposed bias structures
implementable in CMOS. Below Two proposed
structures, not directly implementable in CMOS.
14
Pseudo Floating-GateBiasing Circuits
  • The employed bias circuit unfortunately failed to
    operate correctly, although a very similar
    structure had been triedtested earlier. Later
    Monte-Carlo simulations showed that the structure
    should have a yield of only 15, mostly due to
    Vth mismatch.

15
Inner hair cell Auditory Nerve Circuit (1)
Voltage-to-Current Rectification
16
Inner hair cell Auditory Nerve Circuit (2)
Leaky integrate and fire neuron
Simulation results constant input current.(IF
neuron only).
Integration node potential (Volts)
Measurement results. (V2C rectifier IF neuron)
Output is a spike-train
Integration node potential (Volts)
17
Inner hair cell Auditory Nerve Circuit (3)
Measurements of V2C rectifier IF neuron
Spiking frequency as a function of input DC
voltage.
Maximum spiking frequency as a function of V2C
rectifier bias voltage.
18
Inner hair cell Auditory Nerve Circuit (4)
Measurements of V2C rectifier IF neuron
Response of the hair cell to a waveform input.
19
Adress-Event Representation (AER) Arbiter
  • Hair-cell spikes are passed through an
    arbitration hierarchy, which decides which spike
    to transmit first.
  • An adress, signifying the location of the
    hair-cell, is passed on the Data bus.
  • The transmissionis carried out asfast as
    possible.

20
AER timing diagram
21
Layout
FullChip
22
Layout
23
Inverter Transistors
Coupling Capacitors
Layout
Bias Circuits
Poly Resistor Strips and Bias Voltage Inputs
SecondOrderSection
24
AERSender Logic
IntegrateFire Neuron
Layout
V2C Rectifier
Clamp
Capacitive atttenuation
Hair CellandSender Logic
25
Results Filter Cascades
  • One malfunctioning filter early in the cascade
    will lead to a signal loss for the remainder of
    the cascade.
  • If we increase the number of filters per
    bandwidth the delay increases.
  • Each filter generates noise, particularly for
    high Q-values this may become a problem as the
    noise is both amplified and accumulated.
  • Variations of transconductance, particularly as a
    result of variations of threshold voltages, leads
    to differences in cut-off and Q-values. This may
    affect the pseudoresonance in the cascade
    strongly, and also produce variations in the
    delay.

26
Results PFG Inverter
  • A wide signal swing may be used.
  • May be used in a large frequency range (from a
    few Hz to several GHz), although noise may be a
    problem for low and high frequencies.
  • If more than one PFG inverter uses the same bias
    voltages, one needs to control output offset,
    f.ex. by using short and wide transistors.
  • The PFG Bias Circuit that was used for the
    implementation did not work, it is recommended
    that this design is avoided.
  • Two possible, improved PFG Bias Circuits have
    been identified.

27
Results Cochlea Models
  • Features of the projects scheme
  • Approximated Cochlea Behaviour
  • Filter bank has a low power consumption.
  • Small area required.
  • Not fault-tolerant.

28
More Outcomes
  • A VerilogA Diode Model suitable for simulations
    under reverse bias operation below breakdown was
    made and is included in the thesis.
  • An increased understanding of Pseudo
    Floating-Gates bias structures was achieved. A
    paper is in progress.
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