Cargando…
A Digital Hardware Realization for Spiking Model of Cutaneous Mechanoreceptor
Inspired by the biology of human tactile perception, a hardware neuromorphic approach is proposed for spiking model of mechanoreceptors to encode the input force. In this way, a digital circuit is designed for a slowly adapting type I (SA-I) and fast adapting type I (FA-I) mechanoreceptors to be imp...
Autores principales: | Salimi-Nezhad, Nima, Amiri, Mahmood, Falotico, Egidio, Laschi, Cecilia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003138/ https://www.ncbi.nlm.nih.gov/pubmed/29937707 http://dx.doi.org/10.3389/fnins.2018.00322 |
Ejemplares similares
-
A Digital Hardware System for Spiking Network of Tactile Afferents
por: Salimi-Nezhad, Nima, et al.
Publicado: (2020) -
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) -
Modeling the Encoding of Saccade Kinematic Metrics in the Purkinje Cell Layer of the Cerebellar Vermis
por: Kalidindi, Hari Teja, et al.
Publicado: (2019) -
Comparison of Artificial and Spiking Neural Networks on Digital Hardware
por: Davidson, Simon, et al.
Publicado: (2021)