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Nicolas Brunel

Neurobiology

Duke University

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About Nicolas Brunel at Duke University (Duke)

As a dedicated researcher at Duke University, Nicolas Brunel has developed a specialized expertise in computational neuroscience, neural dynamics, attractor networks, memory systems, cerebellar function, neural coding, brain networks, theoretical neuroscience. A representative example of their recent contribution is the study titled "Forgetting Leads to Chaos in Attractor Networks", which offers critical insights into the dynamics of computational neuroscience and neural dynamics. Additional work such as "Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

computational neuroscienceneural dynamicsattractor networksmemory systemscerebellar functionneural codingbrain networkstheoretical neuroscience
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Academic Impact Matrix

Research output metrics for Nicolas Brunel aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations10,828

Above average

Publications200

Active researcher

h-index55

Field leader

i10-index93

Broad impact

Lab Environment

No lab data yet for Nicolas Brunel

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