Cargando…
A Digital Hardware System for Spiking Network of Tactile Afferents
In the present research, we explore the possibility of utilizing a hardware-based neuromorphic approach to develop a tactile sensory system at the level of first-order afferents, which are slowly adapting type 1 (SA-I) and fast adapting type 1 (FA-I) afferents. Four spiking models are used to mimic...
Autores principales: | Salimi-Nezhad, Nima, Ilbeigi, Erfan, Amiri, Mahmood, Falotico, Egidio, Laschi, Cecilia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971225/ https://www.ncbi.nlm.nih.gov/pubmed/32009869 http://dx.doi.org/10.3389/fnins.2019.01330 |
Ejemplares similares
-
A Digital Hardware Realization for Spiking Model of Cutaneous Mechanoreceptor
por: Salimi-Nezhad, Nima, et al.
Publicado: (2018) -
Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors
por: Parvizi-Fard, Adel, et al.
Publicado: (2021) -
Proprioceptive Feedback through a Neuromorphic Muscle Spindle Model
por: Vannucci, Lorenzo, et al.
Publicado: (2017) -
A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their Afferents
por: Ouyang, Qiangqiang, et al.
Publicado: (2019) -
Comparison of Artificial and Spiking Neural Networks on Digital Hardware
por: Davidson, Simon, et al.
Publicado: (2021)