text: 53,55,1507308358717562890,864056888564084736,Pablo Lanillos (🤖🧠),"🎯Check this new mind-blowing paper: ""Reclaiming salience: rhythmic precision-modulated action and perception"" 👇 <LINK> with AA Mera, F Novicky, T Parr, K Friston and @nsajidt  #Neuroscience #Robotics #Attention #Saliency #ActivePerception <LINK> Have we properly modelled attention and saliency? ✔️We revisit neuroscience findings to propose a new model of attention and salience. ✔️We reclaim salience as an active inference process that relies on 2 basic principles: uncertainty minimisation & rhythmic scheduling Did we properly use and implement saliency in ML and robotics? ✔️We implement a precision-based model going beyond human fixation maps ✔️We showcase numerical experiments for state and noise estimation, system identification and action selection for informative path planning. <LINK> This work changes our view of attention and saliency going back to its original definition but considering the circular causality between perception and action. We place attention and saliency as integral processes for efficient gathering and processing of sensory information. 🔴Saliency as fixation pixel-wise maps is the past. 🟢Rhythmic precision-modulation is the future: Precision control and uncertainty minimisation that influences the selection of future sensory data and that are synchronised in an oscillatory fashion. <LINK>",https://arxiv.org/abs/2203.12652,"Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual information between the (current) visual information and its estimated causes. However, they fail to consider the circular causality between perception and action. In other words, they do not consider where to sample next, given current beliefs. Here, we reclaim salience as an active inference process that relies on two basic principles: uncertainty minimisation and rhythmic scheduling. For this, we make a distinction between attention and salience. Briefly, we associate attention with precision control, i.e., the confidence with which beliefs can be updated given sampled sensory data, and salience with uncertainty minimisation that underwrites the selection of future sensory data. Using this, we propose a new account of attention based on rhythmic precision-modulation and discuss its potential in robotics, providing numerical experiments that showcase advantages of precision-modulation for state and noise estimation, system identification and action selection for informative path planning. ",Reclaiming saliency: rhythmic precision-modulated action and perception,5,"['🎯Check this new mind-blowing paper: ""Reclaiming salience: rhythmic precision-modulated action and perception""\n👇\n<LINK>\nwith AA Mera, F Novicky, T Parr, K Friston and @nsajidt \n\n#Neuroscience #Robotics #Attention #Saliency #ActivePerception <LINK>', 'Have we properly modelled attention and saliency?\n✔️We revisit neuroscience findings to propose a new model of attention and salience.\n✔️We reclaim salience as an active inference process that relies on 2 basic principles: uncertainty minimisation &amp; rhythmic scheduling', 'Did we properly use and implement saliency in ML and robotics?\n✔️We implement a precision-based model going beyond human fixation maps\n✔️We showcase numerical experiments for state and noise estimation, system identification and action selection for informative path planning. https://t.co/otE6xkWTcU', 'This work changes our view of attention and saliency going back to its original definition but considering the circular causality between perception and action. We place attention and saliency as integral processes for efficient gathering and processing of sensory information.', '🔴Saliency as fixation pixel-wise maps is the past. 🟢Rhythmic precision-modulation is the future: Precision control and uncertainty minimisation that influences the selection of future sensory data and that are synchronised in an oscillatory fashion. https://t.co/XnzclBAK4S']",22,03,1334