Concept
Microsaccade
Related publications (8)
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
This paper proposes a representational model for image pairs such as consecutive video frames that are related by local pixel displacements, in the hope that the model may shed light on motion perception in primary visual cortex (V1). The model couples the ...
ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022A MultiPath Network for Object Detection
Pedro Henrique Oliveira Pinheiro
The recent COCO object detection dataset presents several new challenges for object detection. In particular, it contains objects at a broad range of scales, less prototypical images, and requires more precise localization. To address these challenges, we ...
BMVA Press2016Duration of Purkinje cell complex spikes increases with their firing frequency
Climbing fiber (CF) triggered complex spikes (CS) are massive depolarization bursts in the cerebellar Purkinje cell (PC), showing several high frequency spikelet components (+/- 600 Hz). Since its early observations, the CS is known to vary in shape. In th ...
Frontiers Research Foundation2015A Cognitive and Unsupervised MAP Adaptation Approach to the Recognition of the Focus of Attention from Head Pose
Jean-Marc Odobez, Silèye Oumar Ba
In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this end, the head pose observations are modeled using an Hidden Markov Model (HMM ...
IDIAP2007Perceptual learning with spatial uncertainties
In perceptual learning, stimuli are usually assumed to be presented to a constant retinal location during training. However, due to tremor, drift, and microsaccades of the eyes, the same stimulus covers different retinal positions on sequential trials. Bec ...
Elsevier2006