Cargando…
Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware
Large-scale neuromorphic hardware systems typically bear the trade-off between detail level and required chip resources. Especially when implementing spike-timing dependent plasticity, reduction in resources leads to limitations as compared to floating point precision. By design, a natural modificat...
Autores principales: | Pfeil, Thomas, Potjans, Tobias C., Schrader, Sven, Potjans, Wiebke, Schemmel, Johannes, Diesmann, Markus, Meier, Karlheinz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398398/ https://www.ncbi.nlm.nih.gov/pubmed/22822388 http://dx.doi.org/10.3389/fnins.2012.00090 |
Ejemplares similares
-
Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity
por: Potjans, Wiebke, et al.
Publicado: (2010) -
Verifying the biological relevance of a neuromorphic hardware device
por: Brüderle, Daniel, et al.
Publicado: (2007) -
Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate
por: Friedmann, Simon, et al.
Publicado: (2013) -
The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model
por: Potjans, Tobias C., et al.
Publicado: (2014) -
Control of criticality and computation in spiking neuromorphic networks with plasticity
por: Cramer, Benjamin, et al.
Publicado: (2020)