Stephen G. Lisberger

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates David J. Herzfeld, Nathan J. Hall, Stephen G. Lisberger Journal of Neuroscience 6 August 2025, 45 (32) e0230252025; DOI: 10.1523/JNEUROSCI.0230-25.2025

Abstract We exploit identification of neuron types during extracellular recording to demonstrate how the cerebellar cortex's well-established architecture transforms inputs into outputs. During smooth pursuit eye movements, the floccular complex performs distinct input-output transformations of temporal dynamics and directional response properties. The responses of different interneuron types localize the circuit mechanisms of each transformation.

Abstract Identification of neuron type is critical to understand computation in neural circuits through extracellular recordings in awake, behaving animal subjects. Yet, modern recording probes have limited power to resolve neuron type. Here, we leverage the well-characterized architecture of the cerebellar circuit to perform expert identification of neuron type from extracellular recordings in behaving non-human primates.