ArticleFrontiers in computational neuroscience2021
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks.
Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Development of digital hardware for a spiking image recognition network employing a novel burst-based reinforcement learning approach.Scientific reports · 2025Article
- An accurate and fast learning approach in the biologically spiking neural network.Scientific reports · 2025Article
- Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus.Scientific reports · 2024Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.PLoS computational biology · 2024Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.bioRxiv : the preprint server for biology · 2024Article
- A spiking neural network for active efficient coding.Frontiers in robotics and AI · 2024Article
- Long- and short-term history effects in a spiking network model of statistical learning.Scientific reports · 2023Article
- Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.Frontiers in computational neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reinforcement learning is a paradigm that can account for how organisms learn to adapt their behavior in complex environments with sparse rewards. To partition an environment into discrete states, implementations in spiking neuronal networks typically rely on input architectures involving place cells or receptive fields specified
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.