Dissecting the causal role of neural dynamics in supporting computation and behavior

Abstract

Recent advances in neural recording technologies have enabled researchers to simultaneouslyrecord from hundreds to thousands of neurons in the brains of behaving animals. Theseincreasingly rich neural data present exciting new opportunities for understanding how" the brainperforms computations and generates sophisticated behavior. However, deriving thisunderstanding from such complex, high-"dimensional data will require novel analyticalapproaches capable of extracting and parsing structure from the data (Cunningham & Yu", 2014).Recent work has suggested that population-level dynamics may be a hallmark of neuralcomputation and the generation of skil""led behavior (Churchland et al., 2012). However, itremains unclear whether neural dynamics play a causal role in supporting computa""tion andbehavior, or whether such dynamics merely appear as an epiphenomenon . Here, we propose todevelop rich population-level dy"namical models of neural activity for testing the hypothesis thatpopulation-level dynamics are crucial in supporting the neural computations underlyingperceptual decision making and the behaviors generated to reflect those decision s.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 20, 2018
Source ID
N000141812158

Entities

People

  • Krishna Shenoy

Organizations

  • Office of Naval Research
  • Stanford University
  • United States Navy

Tags

Fields of Study

  • Biology

Readers

  • Military Logistics and Supply Chain Management
  • Neural Network Machine Learning.
  • Research Science/Academic Research