TY  - EDBOOK
AB  - Stochastic learning solves the stability-plasticity problem (Fusi et al., 2000a)
but raises new issues related to the generation of the proper noise driving
the synaptic dynamics. Here we show that a simple, fully deterministic,
spike-driven synaptic device can make use of the network generated vari-
ability in the neuronal activity to drive the required stochastic mechanism.
Randomness emerges naturally from the interaction of deterministic neu-
rons, and no extra source of noise is needed. Learning and forgetting
rates of the network can be easily controlled by changing the statistics of
the spike trains without changing any inherent parameter of the synaptic
dynamics.
DA  - 2001
KW  - VLSI
KW  - learning
LA  - eng
PY  - 2001
TI  - Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-25274206
Y2  - 2024-11-24T05:41:48
ER  -