The Unusual Effectiveness of Evolution in Systems Neuroscience

This perspective advocates for "evolutionary systems neuroscience" as a framework combining evolutionary biology with neural circuit analysis. Evolution creates natural circuit modifications that preserve essential functions while enabling new behaviors. Modern technologies now allow researchers to investigate causal connections from genes to circuits to behaviors with unprecedented precision. By studying both convergent and divergent evolution, we can uncover both broad computational principles and specific implementation mechanisms. Across diverse examples-from insect courtship to rodent communication-we explore how targeted circuit changes drive behavioral innovation without disrupting core functions. This framework may reveal "deep homologies" in neural mechanisms, similar to how evolutionary developmental biology (evo-devo) identified conserved genetic toolkits in morphological development. This evolutionary lens promises not just to reveal how brains work, but why they work the way they do-providing insights that extend beyond neuroscience to complex adaptive systems more broadly.

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Publication Details

Journal
Cold Spring Harbor Perspectives in Biology
Published
2025-09-22
DOI
https://doi.org/10.1101/cshperspect.a041510
Citations
1
Primary Topic
Cognitive Science and Mapping
Type
article
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article

The Unusual Effectiveness of Evolution in Systems Neuroscience

Steven M. Phelps, Justus M. Kebschull, Arkarup Banerjee
1 citations
Cold Spring Harbor Perspectives in Biology
Cognitive Science and Mapping
article

The Unusual Effectiveness of Evolution in Systems Neuroscience

Steven M. Phelps, Justus M. Kebschull, Arkarup Banerjee
article en
1 citations

Abstract

This perspective advocates for "evolutionary systems neuroscience" as a framework combining evolutionary biology with neural circuit analysis. Evolution creates natural circuit modifications that preserve essential functions while enabling new behaviors. Modern technologies now allow researchers to investigate causal connections from genes to circuits to behaviors with unprecedented precision. By studying both convergent and divergent evolution, we can uncover both broad computational principles and specific implementation mechanisms. Across diverse examples-from insect courtship to rodent communication-we explore how targeted circuit changes drive behavioral innovation without disrupting core functions. This framework may reveal "deep homologies" in neural mechanisms, similar to how evolutionary developmental biology (evo-devo) identified conserved genetic toolkits in morphological development. This evolutionary lens promises not just to reveal how brains work, but why they work the way they do-providing insights that extend beyond neuroscience to complex adaptive systems more broadly.

Cold Spring Harbor Perspectives in BiologyVol. 18(3)
Johns Hopkins University (US), Cold Spring Harbor Laboratory (US), Johns Hopkins Medicine (US), The University of Texas at Austin (US)
Cognitive Science and Mapping
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