ArticleCell2019
A Tradeoff in the Neural Code across Regions and Species.
Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Perceived Complexity as Normalized, Integrated, Localized Shannon Entropy.Entropy (Basel, Switzerland) · 2026Article
- Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Early life stress, literacy and dyslexia: an evolutionary perspective.Brain structure & function · 2024Review
- Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures.PLoS computational biology · 2024Article
- Hierarchies of description enable understanding of cognitive phenomena in terms of neuron activity.Cognitive processing · 2024Review
- Differential functional organization of amygdala-medial prefrontal cortex networks in macaque and human.Communications biology · 2024Article
- The complexity of the dialogue between psychoanalysis, neurosciences, and genetics.Frontiers in psychiatry · 2023Article
- Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques.Current research in neurobiology · 2023Review
- Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing.Frontiers in computational neuroscience · 2023Article
- Volitional Generation of Reproducible, Efficient Temporal Patterns.Brain sciences · 2022Article
- Humanized substitutions ofiScience · 2022Article
- Review
- Correlated Activity in the Degenerate Retina Inhibits Focal Response to Electrical Stimulation.Frontiers in cellular neuroscience · 2022Article
- Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System.Frontiers in computational neuroscience · 2022Article
- Optogenetic activation of corticogeniculate feedback stabilizes response gain and increases information coding in LGN neurons.Journal of computational neuroscience · 2021Article
- Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate.NeuroImage · 2021Article
- Beyond social learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Redundancy circuits of the commissural pathways in human and rhesus macaque brains.Human brain mapping · 2021Article
- Changes in pairwise correlations during running reshape global network state in the main olfactory bulb.Journal of neurophysiology · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Many evolutionary years separate humans and macaques, and although the amygdala and cingulate cortex evolved to enable emotion and cognition in both, an evident functional gap exists. Although they were traditionally attributed to differential neuroanatomy, functional differences might also arise from coding mechanisms. Here we find that human neurons better utilize information capacity (efficient coding) than macaque neurons in both regions, and that cingulate neurons are more efficient than amygdala neurons in both species. In contrast, we find more overlap in the neural vocabulary and more synchronized activity (robustness coding) in monkeys in both regions and in the amygdala of both species. Our findings demonstrate a tradeoff between robustness and efficiency across species and regions. We suggest that this tradeoff can contribute to differential cognitive functions between species and underlie the complementary roles of the amygdala and the cingulate cortex. In turn, it can contribute to fragility underlying human psychopathologies.
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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.