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Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network
Aditya Gilra, Wulfram Gerstner
Recurrent neuronal networks learn to predict movement in a self-supervised way using biologically plausible learning rules.
Local online learning in recurrent networks with random feedback
James M Murray
A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.
Genetics and Genomics
Education and Outreach: March Mammal Madness and the power of narrative in science outreach
Katie Hinde et al.
Hypothetical battles between animals can be used to interest the general public in biology.
Social communication of predator-induced changes in
behavior and germ line physiology
Balint Z Kacsoh et al.
Reproductive behavior is conferred from experienced to naïve
as a behavioral social strategy allowing naïve groups to anticipate a threat from a predator.
Genetics and Genomics
Learning is enhanced by tailoring instruction to individual genetic differences
David G Mets, Michael S Brainard
Tailoring instructive experience to individual genetic biases improves vocal learning outcomes across genetic backgrounds in the Bengalese finch.
Persistent neural activity in auditory cortex is related to auditory working memory in humans and nonhuman primates
Ying Huang et al.
The auditory cortex temporarily stores task-relevant information by persistently changed neuronal activity of single neurons and of neuronal populations.
In vivo assessment of the neural substrate linked with vocal imitation accuracy
Julie Hamaide et al.
Song learning accuracy can be predicted and traced in the structural properties of the brains of juvenile male zebra finches already at 20 days post-hatching.
Analysis of ultrasonic vocalizations from mice using computer vision and machine learning
Antonio HO Fonseca et al.
An open-source tool based on computational vision and machine learning shows high accuracy and sensitivity in the analysis of ultrasonic vocalizations.
Rapid learning in visual cortical networks
Ye Wang, Valentin Dragoi
The rapid learning of sensory information in cortical circuits is accompanied by a tight coordination of spike timing with the local theta-band population activity in visual cortex.
Neural and computational processes underlying dynamic changes in self-esteem
Geert-Jan Will et al.
Self-esteem, the value that people ascribe to the self, is represented in the ventromedial prefrontal cortex and dynamically updated when people learn how others value them.
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