A simple canonical circuitry for non-stationary normalization by inhibition to explain and predict change detection in monkey area MT
Ernst, U. A.; Chen, X.; Bohnenkamp, L.; Galashan, F. O.; Wegener, D.
Show abstract
Sudden changes in visual scenes often indicate important events for behavior. For their quick and reliable detection, the brain must be capable to process these changes as independent as possible from its current activation state. In motion-selective area MT, neurons respond to instantaneous speed changes with pronounced transients, often far exceeding the expected response as derived from their speed tuning profile. We here show that this complex, non-linear behavior emerges from the combined temporal dynamics of excitation and divisive inhibition, and provide a comprehensive formal analysis. A central prediction derived from this investigation is that attention increases the steepness of the transient response irrespective of the activation state prior to a stimulus change, and irrespective of the sign of the change. Extracellular recordings of attention-dependent representation of both speed increments and decrements confirmed this prediction and suggest that improved change detection derives from basic computations in a canonical cortical circuitry.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information 97%
- Theory of spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity 97%
- Prefrontal cortex temporally multiplexes slow and fast dynamics in value learning and memory 96%
Similar papers in this journal
- Neural oscillation as a selective modulatory mechanism on decision confidence, speed and accuracy 96%
- Differential excitability of PV and SST neurons results in distinct functional roles in inhibition stabilization of Up-states 96%
- Distinct cortical populations drive multisensory modulation of segregated auditory sources 96%
Similar papers in this journal
Similar papers in this journal
- Role of interneuron subtypes in controlling trial-by-trial output variability in theneocortex 95%
- Cellular-resolution mapping uncovers spatial adaptive filtering at the cerebellum input stage 95%
- Parameter tuning differentiates granule cell subtypes enriching the repertoire of retransmission properties at the cerebellum input stage 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.