ArticlePLoS computational biology2021
Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.Frontiers in computational neuroscience · 2025Article
- Towards biologically plausible model-based reinforcement learning in recurrent spiking networks by dreaming new experiences.Scientific reports · 2024Article
- A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets.Cell reports methods · 2024Article
- Beyond spiking networks: The computational advantages of dendritic amplification and input segregation.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse.Communications biology · 2023Article
- Error-based or target-based? A unified framework for learning in recurrent spiking networks.PLoS computational biology · 2022Article
- Simulations of working memory spiking networks driven by short-term plasticity.Frontiers in integrative neuroscience · 2022Article
- A Biologically Inspired Neural Network Model to Gain Insight Into the Mechanisms of Post-Traumatic Stress Disorder and Eye Movement Desensitization and Reprocessing Therapy.Frontiers in psychology · 2022Article
- Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster.Frontiers in neuroinformatics · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to combine contextual hints with sensory perceptions. Together with sleep, these mechanisms are thought to be key components of many high-level cognitive functions. Yet, little is known about the underlying processes and the specific roles of different brain states. In this work, we exploited the combination of context and perception in a thalamo-cortical model based on a soft winner-take-all circuit of excitatory and inhibitory spiking neurons. After calibrating this model to express awake and deep-sleep states with features comparable with biological measures, we demonstrate the model capability of fast incremental learning from few examples, its resilience when proposed with noisy perceptions and contextual signals, and an improvement in visual classification after sleep due to induced synaptic homeostasis and association of similar memories.
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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.