Building Machines That Learn and Think Like People [PDF]
, 2016 Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and ...
Gershman, Samuel J. +3 more
core +3 more sources
Linking the Laminar Circuits of Visual Cortex to Visual Perception [PDF]
, 2001 A detailed neural model is being developed of how the laminar circuits of visual cortical areas V1 and V2 implement context-sensitive binding processes such as perceptual grouping and attention, and develop and learn in a stable way.
Grossberg, Stephen
core +1 more source
Modeling the Time-Course of Responses for the Border Ownership Selectivity Based on the Integration of Feedforward Signals and Visual Cortical Interactions [PDF]
, 2017 Border ownership (BO) indicates which side of a contour owns a border, and it plays a fundamental role in figure-ground segregation. The majority of neurons in V2 and V4 areas of monkeys exhibit BO selectivity.
Sakai Ko, Wagatsuma Nobuhiko, 酒井 宏
core +1 more source
Qualitative Analysis of Differential, Difference Equations, and Dynamic Equations on Time Scales
, 2015 Abstract and Applied Analysis, Volume 2015, Issue 1, 2015.
Tongxing Li +5 more
wiley +1 more source
Dopaminergic and Non-Dopaminergic Value Systems in Conditioning and Outcome-Specific Revaluation [PDF]
, 2007 Animals are motivated to choose environmental options that can best satisfy current needs. To explain such choices, this paper introduces the MOTIVATOR (Matching Objects To Internal Values Triggers Option Revaluations) neural model.
Bullock, Daniel +2 more
core +1 more source
Neural Dynamics Underlying Impaired Autonomic and Conditioned Responses Following Amygdala and Orbitofrontal Lesions [PDF]
, 2007 A neural model is presented that explains how outcome-specific learning modulates affect, decision-making and Pavlovian conditioned approach responses. The model addresses how brain regions responsible for affective learning and habit learning interact ...
Bullock, Daniel +2 more
core +1 more source
Embodied learning of a generative neural model for biological motion perception and inference [PDF]
, 2015 Although an action observation network and mirror neurons for understanding the actions and intentions of others have been under deep, interdisciplinary consideration over recent years, it remains largely unknown how the brain manages to map visually ...
Fabian Schrodt +3 more
core +2 more sources
Nonlinear Analysis of Dynamical Complex Networks 2014
, 2014 Abstract and Applied Analysis, Volume 2014, Issue 1, 2014.
Zidong Wang +5 more
wiley +1 more source
Feature Selection For The Fuzzy Artmap Neural Network Using A Hybrid Genetic Algorithm And Tabu Search [PDF]
, 2007 Prestasi pengelas rangkaian neural amat bergantung kepada set data yang digunakan dalam process pembelajaran. The performance of Neural-Network (NN)-based classifiers is strongly dependent on the data set used for ...
Tang, Weng Chin
core
Habituation based synaptic plasticity and organismic learning in a quantum perovskite [PDF]
, 2017 A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making.
Barbour, Andi +16 more
core +1 more source