Cargando…
RM-SORN: a reward-modulated self-organizing recurrent neural network
Neural plasticity plays an important role in learning and memory. Reward-modulation of plasticity offers an explanation for the ability of the brain to adapt its neural activity to achieve a rewarded goal. Here, we define a neural network model that learns through the interaction of Intrinsic Plasti...
Autores principales: | Aswolinskiy, Witali, Pipa, Gordon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4371712/ https://www.ncbi.nlm.nih.gov/pubmed/25852533 http://dx.doi.org/10.3389/fncom.2015.00036 |
Ejemplares similares
-
SORN: A Self-Organizing Recurrent Neural Network
por: Lazar, Andreea, et al.
Publicado: (2009) -
Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks
por: Jia, Shuncheng, et al.
Publicado: (2021) -
Reward-based training of recurrent neural networks for cognitive and value-based tasks
por: Song, H Francis, et al.
Publicado: (2017) -
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control
por: Smith, Simón C., et al.
Publicado: (2020) -
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP
por: Fang, Hongjian, et al.
Publicado: (2021)