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E. A. Di Paolo (2002) "Spike-timing dependent plasticity for evolved robots." Adaptive Behavior Vol. 10, pp. 243-263
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See (Bi & Poo, 2001) for a review

Bi, G. Q. & Poo M.M. (2001)
Synaptic modifications by correlated activity: Hibb's postulated revisited
Ann Rev Neurosci 24, pp 139-166. => Done

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"Recent sstudies in evolutionaqry robotics have aimed at harnessing the power of automatic evolutionry design to try to cross the gap between thise two modes of research. So far, these studiess have been mainly exploratory, drawing inspiration from neuroscience to enrich the building blocks used for evolutionry desing -- but the potential is there for feeding useful information back to nerurocience. On this issue see a recent review by Ruppin (2002)."

Ruppin, E (2002)
Evolutionary autonomous agents: A neuroscience perspective
Nature Reviews Neuriswcience 3, 132--141.  => done

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"On example of this kind of research is the work by HJusbands and colleagues using gaseous diffusion of neuromodulators as part of their evolved robot controllers (Husbands et al. 1998)"

Husbands, P. Smith, T, Jakobi, N & O'Shea M (1998)
Better living through chemistry: Evolving GasNets for robot control
Connection Science 10 185--210  => done


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"following (Song et al., 2000), synaptic change is implemented using two recording function per synapse P^{-}(t) and P^{+}(t)"


Sen Song, Kenneth D. Miller, and L. F. Abbott (2000)
"Competitive Hebbian learning through spike-timing-dependent synaptic plasticity."
Nature America Inc. . http://neurosci.nature.com => done
Nature Neuroscience  3, 919 - 926  
 

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(parameters take from ref. 37).

37. Troyer, T. W. & Miller, K. D. 
Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. 
Neural Comp. 9, 971.983 (1997).


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Since we are interested in exploring a novel mechanism for robot control, the chosen task is at this stage deliberately simple so as to facilitate comparisons with alternative approaches.