ArticlePloS one2013
Response variance in functional maps: neural darwinism revisited.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 18 citations in OpenAlex.
- Vagus nerve stimulation as a predictive coding modulator that enhances feedforward over feedback transmission.Frontiers in neural circuits · 2025Review
- Variability of Neuronal Responses: Types and Functional Significance in Neuroplasticity and Neural Darwinism.Frontiers in human neuroscience · 2016Article
- Associative learning and sensory neuroplasticity: how does it happen and what is it good for?Learning & memory (Cold Spring Harbor, N.Y.) · 2015Review
- Auditory map plasticity: diversity in causes and consequences.Current opinion in neurobiology · 2014Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mechanisms by which functional maps and map plasticity contribute to cortical computation remain controversial. Recent studies have revisited the theory of neural Darwinism to interpret the learning-induced map plasticity and neuronal heterogeneity observed in the cortex. Here, we hypothesize that the Darwinian principle provides a substrate to explain the relationship between neuron heterogeneity and cortical functional maps. We demonstrate in the rat auditory cortex that the degree of response variance is closely correlated with the size of its representational area. Further, we show that the response variance within a given population is altered through training. These results suggest that larger representational areas may help to accommodate heterogeneous populations of neurons. Thus, functional maps and map plasticity are likely to play essential roles in Darwinian computation, serving as effective, but not absolutely necessary, structures to generate diverse response properties within a neural population.
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Registered trials
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