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Temporal representation in spiking neurons

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Names of Nodes: Representing a Synapse/ a Sensor/ an Effector. A ... Refractory period. Output Function: Code. Neural Modeling - Fall 1386. 5. Schematic Diagram ... – PowerPoint PPT presentation

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Title: Temporal representation in spiking neurons


1
Temporal representation in spiking neurons
Biomedical engineering Group School of Electrical
Engineering Sharif University of Technology
  • TEMPORAL CODES

2
TEMPORAL CODES IN NEURONS
  • Neurons output Code
  • Rate Code
  • Timing Code
  • On-Off Code
  • Real Value Code
  • Need a General Model
  • Inputs from Others
  • A resultant Voltage/Soma Current
  • Threshold
  • Action Potential
  • Transmission
  • Neurotransmitter Release

3
A Complete model of a Network of Neurrons
j
ij Neuron
hi Neuron
h
i
ik Neuron
k
il
l
gi Neuron
f
fi Neuron
g
im Neuron
Names of Nodes Representing a Synapse/ a Sensor/
an Effector A link between two nodes A
neuron Notice the Direction and naming Strategy
m
4
A Nuron Parameters
ij Neuron
i
j
  • Delay Associated with each Neuron
  • Soma Current
  • Node Voltage
  • Threshold Voltage
  • Refractory period
  • Output Function Code

5
Schematic Diagram
Neurotransmitter Release
Soma Voltage
i
j
Soma Current
Axon Voltage
Soma Current of j caused by i
Quiz 1 Determine/Explain all the values of
Blocks for LIF Neurons
6
Possible Neurotransmitter Release Functions
  • On-Off Code
  • Spike-Train Code
  • Unit-Spike Code
  • Rate Code

7
Rate Code
  • Integral period? (100 ms)!?
  • Rapid Movements (below ms)
  • Dependent to interval
  • Evidence that different input spike trains with
    the same mean rate, but different temporal
    structure produce significantly different output
    from the same cell

8
Timing Code
  • 1/ISI 1/ InterSpike Interval

9
DECODING NEURAL SPIKES
  • Properties of neural spike trains
  • Attempts to decode neural spike trains have been
    largely successful
  • No need to develop a completely new means of
    understanding neural representation
  • Methods discussed are a variation on past themes

10
Temporal encoding and decoding process
11
HW3
  • Try to test if you can represent a signal x(t)
    with Not Equally-Spaced Unit Impulse Trains
  • Discuss how realistic is your proposal
  • Subject HW3 NeuroScience1386 IDxxx
  • DueDate 27 Aban

12
Neuron pairs
adding a second neuron that increases firing with
decreasing stimulus intensity
A push-pull amplifier
13
Representing time dependent signals with spikes
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