Israel Nelken

This study shows that rats can rapidly adapt to new task contingencies using abstract representations in the orbitofrontal cortex, supporting few-shot learning.

This study investigates how the VTA represents auditory stimuli in awake, freely moving mice and finds that VTA responses are robust but less temporally reproducible compared to the inferior colliculus.

The paper defines neural code symbols as variable-duration packets in auditory spike trains, showing this approach enables real-time readout and maximizes information capacity.

The paper investigates how task-related activity in auditory cortex affects sound representation by analyzing neuronal dynamics during active and passive listening conditions.

This study shows that early sound exposure influences sound preferences in mice, with sex-dependent effects on behavior and neural activity.

The paper identifies a rapid auditory processing pathway in the insulo-parietal field of rats, showing shorter latencies and lower frequency tuning compared to primary auditory cortex.

This study investigates how neurons in the auditory cortex of awake rats respond to different levels of statistical regularity in tone sequences, finding a continuum of preferences and sensitivity to phase modulation.

The paper develops a method to estimate animal strategies from behavior data and finds that insular cortex neurons track task engagement over time.

This study shows rats synchronize their licking behavior predictively to metronome beats, outperforming reactive and random models.

This study uses wide-field calcium imaging to evaluate cochlear implant stimulation strategies in rats, finding that simultaneous pulse timing improves neural response discrimination.

The paper shows that prior neutral exposure to stimuli slows discrimination learning in mice and is associated with delayed neuronal response dynamics in the auditory cortex.

The paper investigates how human auditory cortex processes auditory stimuli across multiple time scales using EEG and computational modeling, finding that neural responses adapt to different frequency intervals over distinct time scales.

The paper introduces RIFF, a system for studying auditory-guided behavior in rats, showing neurons respond to non-auditory parameters and enabling detailed analysis of learning and cognition.

The paper uses a biologically-detailed in-silico model of a neocortical microcircuit to study stimulus-specific adaptation in the auditory cortex and identifies key mechanisms underlying the response to surprising sensory inputs.

This study shows that stimulus-specific adaptation in rats depends on the behavioral significance of sounds, with inhibitory plasticity observed for fear-associated stimuli.

The paper shows that adaptive responses in visual, somatosensory, and auditory cortices follow similar patterns across different sensory modalities.