Contributions of cortical neuron firing patterns, synaptic connectivity, and plasticity to task performance

Michele N. Insanally (), Badr F. Albanna, Jade Toth, Brian DePasquale, Saba Shokat Fadaei, Trisha Gupta, Olivia Lombardi, Kishore Kuchibhotla, Kanaka Rajan and Robert C. Froemke ()
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Michele N. Insanally: University of Pittsburgh School of Medicine
Badr F. Albanna: University of Pittsburgh School of Medicine
Jade Toth: University of Pittsburgh School of Medicine
Brian DePasquale: Boston University
Saba Shokat Fadaei: New York University Grossman School of Medicine
Trisha Gupta: University of Pittsburgh School of Medicine
Olivia Lombardi: University of Pittsburgh School of Medicine
Kishore Kuchibhotla: Johns Hopkins University
Kanaka Rajan: Harvard Medical School
Robert C. Froemke: New York University Grossman School of Medicine

Nature Communications, 2024, vol. 15, issue 1, 1-21

Abstract: Abstract Neuronal responses during behavior are diverse, ranging from highly reliable ‘classical’ responses to irregular ‘non-classically responsive’ firing. While a continuum of response properties is observed across neural systems, little is known about the synaptic origins and contributions of diverse responses to network function, perception, and behavior. To capture the heterogeneous responses measured from auditory cortex of rodents performing a frequency recognition task, we use a novel task-performing spiking recurrent neural network incorporating spike-timing-dependent plasticity. Reliable and irregular units contribute differentially to task performance via output and recurrent connections, respectively. Excitatory plasticity shifts the response distribution while inhibition constrains its diversity. Together both improve task performance with full network engagement. The same local patterns of synaptic inputs predict spiking response properties of network units and auditory cortical neurons from in vivo whole-cell recordings during behavior. Thus, diverse neural responses contribute to network function and emerge from synaptic plasticity rules.

Date: 2024
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DOI: 10.1038/s41467-024-49895-6

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