The Miller Lab @ MIT

Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

Miller Lab

Jim DiCarlo and crew show how a weighted average of firing rates of neurons in inferior temporal cortex can explain performance on an object recognition task.

Majaj, Najib J., et al. “Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.” The Journal of Neuroscience 35.39 (2015): 13402-13418.

About the Author

The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior. ekmillerlab.mit.edu