Concept

Microsaccade

Publications associées (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 INTELLIGENCE2022

EEG rhythms in long-lasting spatio-temporal feature integration

Michael Herzog, David Pascucci, Maëlan Quentin Menétrey

Pre-stimulus brain activity is thought to modulate visual perception. However, the nature of this modulation remains debated. In particular, the use of paradigms with very brief and weak stimuli complicates a univocal understanding. Here we focus on phenom ...

SAGE Publishing2021

A 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 Press2016

Duration of Purkinje cell complex spikes increases with their firing frequency

Michele Giugliano

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 Foundation2015

How are non-retinotopic motion signals integrated? -A high-density EEG study

Michael Herzog, Gijs Plomp, Yvonne Evelina Thunell

Objects moving in the visual scene cause retinal displacements that are not the result of motor commands and thus cannot be accounted for by efference copies. Yet, we easily keep track of moving objects even without following them with our gaze. Here, we i ...

2013

A 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 ...

2007

A Cognitive and Unsupervised MAP Adaptation Approach to the Recognition of the Focus of Attention from Head Pose

Jean-Marc Odobez, Silèye Oumar Ba

IDIAP2007

Perceptual learning with spatial uncertainties

Michael Herzog, Thomas Otto

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

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