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To account for the parallel processing nature of neural networks, the SNN is implemented on a field-programmable gate array (FPGA), and the neural delays are extracted via an adaptation of the synapto-dendritic kernel adapting neuron (SKAN) model, for a low resource demanding FPGA implementation of the SNN. A custom robotic platform successfully tested the ability of the proposed architecture to implement the five LC behaviors. Hence, this work contributes to the engineering field by proposing a scalable low resource demanding architecture for adaptive systems, and the cognitive field by suggesting that both CC and OC can be modeled as a single cognitive architecture.<\/jats:p>","DOI":"10.4018\/ijcini.2017040101","type":"journal-article","created":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T11:11:32Z","timestamp":1490008292000},"page":"1-24","source":"Crossref","is-referenced-by-count":7,"title":["Single SNN Architecture for Classical and Operant Conditioning using Reinforcement Learning"],"prefix":"10.4018","volume":"11","author":[{"given":"Etienne","family":"Dumesnil","sequence":"first","affiliation":[{"name":"University of Quebec at Montreal, Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe-Olivier","family":"Beaulieu","sequence":"additional","affiliation":[{"name":"University of Quebec at Montreal, Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mounir","family":"Boukadoum","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Quebec at Montreal, Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJCINI.2017040101-0","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2015.2416391"},{"issue":"377","key":"IJCINI.2017040101-1","first-page":"1","article-title":"Racing to learn: Statistical inference and learning in a single spiking neuron with adaptive kernels","volume":"8","author":"S.Afshar","year":"2014","journal-title":"Frontiers in Neuroscience"},{"key":"IJCINI.2017040101-2","unstructured":"Arduino Uno & Geunino Uno Overview. 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