Department of Electrical and Electronics Engineering2024-11-0920131878-778910.1016/j.nancom.2013.07.0032-s2.0-84882661048http://dx.doi.org/10.1016/j.nancom.2013.07.003https://hdl.handle.net/20.500.14288/6712In this paper, we develop a realistic model of the synaptic multiple-input single-output (MISO) communication channel for cortical neurons. The synaptic channel weights change adaptively according to the rules of spike timing-dependent plasticity (STDP) to enable learning and memory within neuronal connections. We calculate the ergodic capacity of the synaptic multiple-input multiple-output (MIMO) communication channel, and investigate its performance using the statistical properties of neuro-spike communication. Moreover, we analyze the communication performance of synaptic channels in terms of decoding error probability, and define a lower bound on the synaptic multiple-input single-output (MISO) communication channel.EngineeringElectrical and electronic engineeringJournal Articlehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84882661048&doi=10.1016%2fj.nancom.2013.07.003&partnerID=40&md5=2ce1a0f67ef993f8f7cdf20674bf939c5304