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Please note that this site is currently under text revision. AI-Future is a R&D company in the AI field. The mission is to study the artificial general intelligence phenomenon. The aim is to produce artificial agents, which could be embedded in various physical and virtual platforms of autonomous robots, exhibiting significant elements of the human cognition. We follow the path of an incremental method based on bio-inspired paradigm, mimicking primary and universal behaviors of natural creatures.

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Home - AI-Future | aifuture.com Reviews

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Please note that this site is currently under text revision. AI-Future is a R&D company in the AI field. The mission is to study the artificial general intelligence phenomenon. The aim is to produce artificial agents, which could be embedded in various physical and virtual platforms of autonomous robots, exhibiting significant elements of the human cognition. We follow the path of an incremental method based on bio-inspired paradigm, mimicking primary and universal behaviors of natural creatures.

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2 publications

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4 recently on ai future

5 stdp

6 operant conditioning

7 and ev3

8 lego

9 and insects

10 suite

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Home - AI-Future | aifuture.com Reviews

https://aifuture.com

Please note that this site is currently under text revision. AI-Future is a R&D company in the AI field. The mission is to study the artificial general intelligence phenomenon. The aim is to produce artificial agents, which could be embedded in various physical and virtual platforms of autonomous robots, exhibiting significant elements of the human cognition. We follow the path of an incremental method based on bio-inspired paradigm, mimicking primary and universal behaviors of natural creatures.

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aifuture.com

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Classical Conditioning - AI-Future

http://aifuture.com/neurocode/id/13/learning-functions/associative/stdp

Classical conditioning could be understood at the synaptic level with a STDP. Rule, an associative learning function where the temporal relation of the precise spike timing between the pre and post-synaptic elements lead to a potentiation or a depression of the synaptic strength.

2

Operant Conditioning - AI-Future

http://aifuture.com/neurocode/id/38/learning-functions/associative/operant-conditioning

Operant conditioning is a learning procedure where a biological organism changes its behavior according the the consequences of its previous actions. This learning mechanism is thought to be universal across neural species. The underlying cellular and biochemical processes of operant conditioning are still unknown but many coincidental components are candidates to bridge a specific behavior to a particular and contextual reinforcer.

3

Publications - AI-Future

http://aifuture.com/publications

Cyr, A, Boukadoum, M.and Theriault, F (2014). Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robots controller. Cyr, A. and Boukadoum, M. (2013). Habituation: a non-associative learning rule design for spiking neurons and an autonomous mobile robots implementation. Bioinspir. Biomim.,. 8(1):016007. doi:10.1088/1748-3182/8/1/016007. Neural Comput. Appl.

4

SIMCOG software AI-Future

http://aifuture.com/simcog

Spiking neural network and robot editor. 3D world simulation and editor.

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aifuture.com

Home - AI-Future

Please note that this site is currently under text revision. AI-Future is a R&D company in the AI field. The mission is to study the artificial general intelligence phenomenon. The aim is to produce artificial agents, which could be embedded in various physical and virtual platforms of autonomous robots, exhibiting significant elements of the human cognition. We follow the path of an incremental method based on bio-inspired paradigm, mimicking primary and universal behaviors of natural creatures.

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