TY  - BOOK
AB  - Spike-based learning circuits have been typically used in conjunction with linear integrate-and-fire neurons. As a new class of current-mode conductance-based silicon neurons has been recently developed, it is important to evaluate how the spike-based learning circuits perform, when interfaced to these new types of neuron circuits. Here, we describe a VLSI implementation of a current-mode conductance-based neuron, connected to synaptic circuits with spike-based learning capabilities. The conductance-based silicon neuron has built-in-spike-frequency adaptation, refractory period mechanisms, and plasticity eligibility control circuits. The synaptic circuits exhibits realistic dynamics in the post-synaptic currents and comprise local spike-based learning circuits, controlled by the global post-synaptic eligibility circuits. We present experimental results which characterize the conductance-based neuron circuit properties and the spike-based learning circuits connected to it.
DA  - 2010
DO  - 10.1109/ISCAS.2010.5536980
LA  - eng
PY  - 2010
SN  - 978-1-4244-5308-5
TI  - Spike-based learning with a generalized integrate and fire silicon neuron
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-24277447
Y2  - 2024-11-22T09:43:48
ER  -