Lab plans

1. Getting voltages in/out of the computer -- gPRIME and daqfungen
   1. Sets the direction of the course
   2. Using matlab and production programs
   3. Measure CD sound spectrum
   4. Characterize retinal model output
2. Matlab and 2D graphics
   1. 2D graphics and handles
   2. T vs V
   3. phase plane V vs dV/dt
   4. lines and circles
   5. action potential dynamics
   6. interspike intervals
   7. drawing and coordinate systems
   8. prerecorded data
3. Handle graphics and GUI design
   1. handles to plots and controls
   2. callbacks to controls
   3. iterative programs (from 330)
   4. User interface to programs
   5. program organization
   6. iterative vs functional styles
   7. integrate and fire neuron dynamics
4. Introduction to DAQ toolbox
   1. voltage -> matlab; plot data
   2. matlab -> voltage; playback WAV
   3. daq file format and use
   4. vectors of data
   5. WAV formats
   6. daq format
   7. fast plotting via handles
   8. use sound port
5. Passive cell model and passive cable
   1. measuring current, voltage and resistance
   2. Cell passive electrical model:
      1. RC circuit, driven by a current source; measure input resistance and capacitance.
      2. Resistance, capacitance, Kirchoff's laws
      3. modeling a cell as a time constant and DC I-V curve
      4. wires and components
   3. Passive cable model:
      1. RC driven by a current source; measure length constant; rise time
      2. passive current spread, length constant
      3. exponential fall over space
      4. rise shape in time
6. Active model cell and the intracellular amplifier
   1. Active cell model: the potentiometer action potential
   2. Active cell mode: the fast switch action potential;
   3. effect of high resistance electrode and the 'electrometer' opamp follower.
   4. AP equivalent circuit.
   5. distortion by electrode C and fix by negative capacitance feedback
   6. Voltage clamp of potentiometer model?
7. Differential amplifier and filtering
   1. Filters--lowpass; antialias
   2. highpass; DC surpress
   3. bandpass;
   4. Differential surpression of noise
   5. Aliasing
   6. DC surpression by highpass
   7. notch filter ringing
   8. Bode plot
8. Neurobiological signal analysis
   1. Signal Analysis using DAQ data
   2. feature detection (peak, risetime)
   3. filtering noise, interference and their surpression
   4. Separating APs automatically
9. Stimulus isolation
   1. Why need it -- grounding and signal levels
   2. approaches
   3. H11F1 and battery
10. Neural networks
    1. The cell as a ODE -- simulation of ODEs
    2. Synapses and coupling cells
    3. Hebbian learning
11. More DAQ toolbox: A sound editor
    1. build a simple data display to show, zoom/pan voice segment.
    2. determine properties of physical interfaces
    3. cut and paste sound segments to an output window
    4. manipulate physical input/output interface