358 citations · 984 across the 26 of their papers we have counts for
4 papers · 1 filter
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski +1
Nervous systems sense, communicate, compute and actuate movement using distributed components with severe trade-offs in speed, accuracy, sparsity, noise and saturation. Nevertheles…
Fitts' Law for speed-accuracy trade-off describes a diversity-enabled sweet spot in sensorimotor control
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski +1
Human sensorimotor control exhibits remarkable speed and accuracy, and the tradeoff between them is encapsulated in Fitts' Law for reaching and pointing. While Fitts related this t…
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions
Oliver K. Ernst, Tom Bartol, Terrence Sejnowski +1
The moments of spatial probabilistic systems are often given by an infinite hierarchy of coupled differential equations. Moment closure methods are used to approximate a subset of…
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
In recent years, the use of bio-sensing signals such as electroencephalogram (EEG), electrocardiogram (ECG), etc. have garnered interest towards applications in affective computing…