Abstract
An algorithm for synaptic modification (plasticity) is described by which a recurrently connected network of neuron-like units can organize itself to produce a sequence of activation states that does not repeat itself for a very long time. During the self-organization stage, the connections between the units undergo non-Hebbian modifications, which tend to decorrelate the activity of the units, thereby lengthening the period of the cyclic modes inherent in the network. It is shown that the peridiodicity of the activity rises exponentially with the amount of exposure to this plasticity algorithm. Threshold is also a critical parameter in determining cycle lengths, as is the rate of decay of the fields that accumulate at silent units.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 255-260 |
| Number of pages | 6 |
| Journal | Physics Letters A |
| Volume | 160 |
| Issue number | 3 |
| DOIs | |
| State | Published - Nov 18 1991 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Brainwashing random asymmetric "neural" networks. / McGuire, P. C.; Littlewort, G. C.; Rafelski, Johann.
In: Physics Letters A, Vol. 160, No. 3, 18.11.1991, p. 255-260.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Brainwashing random asymmetric "neural" networks
AU - McGuire, P. C.
AU - Littlewort, G. C.
AU - Rafelski, Johann
PY - 1991/11/18
Y1 - 1991/11/18
N2 - An algorithm for synaptic modification (plasticity) is described by which a recurrently connected network of neuron-like units can organize itself to produce a sequence of activation states that does not repeat itself for a very long time. During the self-organization stage, the connections between the units undergo non-Hebbian modifications, which tend to decorrelate the activity of the units, thereby lengthening the period of the cyclic modes inherent in the network. It is shown that the peridiodicity of the activity rises exponentially with the amount of exposure to this plasticity algorithm. Threshold is also a critical parameter in determining cycle lengths, as is the rate of decay of the fields that accumulate at silent units.
AB - An algorithm for synaptic modification (plasticity) is described by which a recurrently connected network of neuron-like units can organize itself to produce a sequence of activation states that does not repeat itself for a very long time. During the self-organization stage, the connections between the units undergo non-Hebbian modifications, which tend to decorrelate the activity of the units, thereby lengthening the period of the cyclic modes inherent in the network. It is shown that the peridiodicity of the activity rises exponentially with the amount of exposure to this plasticity algorithm. Threshold is also a critical parameter in determining cycle lengths, as is the rate of decay of the fields that accumulate at silent units.
UR - http://www.scopus.com/inward/record.url?scp=0010643711&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0010643711&partnerID=8YFLogxK
U2 - 10.1016/0375-9601(91)90773-2
DO - 10.1016/0375-9601(91)90773-2
M3 - Article
AN - SCOPUS:0010643711
VL - 160
SP - 255
EP - 260
JO - Physics Letters, Section A: General, Atomic and Solid State Physics
JF - Physics Letters, Section A: General, Atomic and Solid State Physics
SN - 0375-9601
IS - 3
ER -