Unlocking Single-Trial Dynamics in Parietal Cortex During Decision-Making
... that is commonly believed to reflect the accumulation of sensory evidence during decisionmaking. However, ramping that appears in trial-averaged responses does not necessarily imply spike rate ramps on single trials; a ramping average could also arise from instantaneous steps that occur at different ...
... that is commonly believed to reflect the accumulation of sensory evidence during decisionmaking. However, ramping that appears in trial-averaged responses does not necessarily imply spike rate ramps on single trials; a ramping average could also arise from instantaneous steps that occur at different ...
Prediction of pedal cyclists and pedestrian fatalities from
... Abstract: Accident prevention is relatively a complex issue considering the effectiveness of the injury prevention technologies as well as more detailed assessment of the complex interactions between the road condition, vehicle and human factor. For many years, highway agencies and vehicle manufactu ...
... Abstract: Accident prevention is relatively a complex issue considering the effectiveness of the injury prevention technologies as well as more detailed assessment of the complex interactions between the road condition, vehicle and human factor. For many years, highway agencies and vehicle manufactu ...
Lecture 17
... As a result of the collaborative effort between these disciplines, there have been, and will continue to be, huge advancements in our understanding of human cognition. Definition in wiki Cognitive science may be broadly defined as the multidisciplinary study of mind and behavior. It draws on multipl ...
... As a result of the collaborative effort between these disciplines, there have been, and will continue to be, huge advancements in our understanding of human cognition. Definition in wiki Cognitive science may be broadly defined as the multidisciplinary study of mind and behavior. It draws on multipl ...
Which Model to Use for the Liquid State Machine?
... Liquid computing efficiency has been investigated principally for integrate-and-fire neurons [2], and some experiments have been conducted for the sophisticated and numerically demanding Hodgkin-Huxley cells [4][5]. In this work we perform a systematic analysis and comparison of LSM computational pe ...
... Liquid computing efficiency has been investigated principally for integrate-and-fire neurons [2], and some experiments have been conducted for the sophisticated and numerically demanding Hodgkin-Huxley cells [4][5]. In this work we perform a systematic analysis and comparison of LSM computational pe ...
Using Bayesian Networks and Simulation for Data
... intervals. It follows that, where a model contains numerical nodes having a potentially large range, results are necessarily only crude approximations. Let X be a continuous random node in the BN. The range of X is denoted by ΩX , and the probability density function (PDF) of X , with support ΩX , ...
... intervals. It follows that, where a model contains numerical nodes having a potentially large range, results are necessarily only crude approximations. Let X be a continuous random node in the BN. The range of X is denoted by ΩX , and the probability density function (PDF) of X , with support ΩX , ...