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A Modality-Specific Feedforward Component of Choice-Related Activity in MT
Alexandra Smolyanskaya1, Ralf M Haefner2, Stephen G Lomber3
1Harvard PhD Program in Neuroscience, 220 Longwood Avenue, Boston, MA 02115, USA; Department of Neurobiology, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115, USA.
Neuron
|July 4, 2015
Summary
Feedforward pathways from V2 and V3 to the medial temporal area (MT) influence decision-making signals. Inactivating these pathways impaired depth-related choices but not motion-related choices in monkeys.
Area of Science:
- Neuroscience
- Sensory processing
- Decision-making
Background:
- Individual sensory neuron activity predicts animal choices.
- Decision signals originate from network properties influenced by feedforward and feedback inputs.
- The precise roles of these input pathways remain unclear.
Purpose of the Study:
- To investigate the contribution of feedforward pathways to decision signals in the medial temporal area (MT).
- To determine the differential roles of V2 and V3 inputs in motion versus depth perception tasks.
Main Methods:
- Neuronal activity in MT was recorded in monkeys during motion and depth discrimination tasks.
- V2 and V3, key feedforward input regions to MT, were reversibly inactivated.
- Choice-related activity of MT neurons was monitored before and during V2/V3 inactivation.
Main Results:
- MT neuron activity became less predictive of choices during the depth task when V2/V3 were inactivated.
- Inactivation of V2/V3 did not significantly affect MT neuron predictiveness for the motion task.
- Data suggest V2/V3 input contributes to decision signals and may induce structured noise correlations in the MT population.
Conclusions:
- Feedforward pathways, specifically from V2/V3, play a crucial role in shaping decision signals in MT.
- These pathways are differentially important for processing different sensory modalities (depth vs. motion).
- The findings highlight the contribution of feedforward input to both sensory tuning and decision formation.
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