Cargando…
Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization
Purpose: In this work, we propose an implementation of the Bienenstock–Cooper–Munro (BCM) model, obtained by a combination of the classical framework and modern deep learning methodologies. The BCM model remains one of the most promising approaches to modeling the synaptic plasticity of neurons, but...
Autores principales: | Squadrani, Lorenzo, Curti, Nico, Giampieri, Enrico, Remondini, Daniel, Blais, Brian, Castellani, Gastone |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141587/ https://www.ncbi.nlm.nih.gov/pubmed/35626566 http://dx.doi.org/10.3390/e24050682 |
Ejemplares similares
-
A network approach for low dimensional signatures from high throughput data
por: Curti, Nico, et al.
Publicado: (2022) -
Impact of concurrency on the performance of a whole exome sequencing pipeline
por: Dall’Olio, Daniele, et al.
Publicado: (2021) -
Correction to: Impact of concurrency on the performance of a whole exome sequencing pipeline
por: Dall’Olio, Daniele, et al.
Publicado: (2021) -
WISDoM: Characterizing Neurological Time Series With the Wishart Distribution
por: Mengucci, Carlo, et al.
Publicado: (2021) -
Active Degradation Explains the Distribution of Nuclear Proteins during Cellular Senescence
por: Giampieri, Enrico, et al.
Publicado: (2015)