Cellular Networks - PowerPoint PPT Presentation

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Cellular Networks

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Cellular Networks Use locks and keys toghether with R and F conjugation to build feed forward networks of cells Changing connection strength Graded response to input ... – PowerPoint PPT presentation

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Title: Cellular Networks


1
Cellular Networks
Use locks and keys toghether with R and F
conjugation to build feed forward networks of
cells
2
Changing connection strength
Both connections of equal strength
Connection between cell1 and cell3 is stronger
3
Graded response to input
In liquid culture of 1/3 cellA 1/3 cellB, 1/3
cell2 expression of cell2s output is P(cellA
conjugating with cell2) Which in a well mixed
culture is proportional to the concentrations of
cellA and cell2
Pretend graph of output is here
Cell 2 produces output when it receives key 2
4
Graded response to input
In liquid culture of 1/3 cellA 1/3 cellB, 1/3
cell2 expression of cell2s output is Cell2 out
P(CellA OR CellB conjugating with cell2)
Pretend graph of output is here, higher output
than just A alone
Cell 2 produces output when it receives key 2
5
Inhibitory Signals
  • Name of the protein that turns off the cell
    pili to stop receiving input but still allow
    output
  • Digest/Degrade output plasmid
  • Conditional cell death
  • RNA based competition for key binding sites

6
What we have
  • Addressable communication
  • Hierarchical network architecture
  • Adjustable connection strengths
  • Graded aggregate response to input
  • Inhibitory signals

All the components required for a feed forward
neural network
7
Back Propagation Neural Network
Input signals propagate forward increasing
activity, both positive and negative
Error signals propagate proportionally backwards
returning activity to 0
8
General Node Design
Receive input from many inputs, send output to
many outputs, relay error from many outputs to
many inputs
9
Bacterial Neural Networks
  • Massively Parallel
  • Probabilistic
  • Asynchronous
  • Continuous time
  • Can be tied into other pathways in cell or
    environmental conditions
  • Highly adaptive, can grow additional nodes
  • Complex behavior from simple, uniform node design
    with different lock/keys
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