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Concept

Animal cognition

Related publications (26)

Active apolar doping determines routes to colloidal clusters and gels

Ignacio Pagonabarraga Mora

Collections of interacting active particles, self-propelling or not, have shown remarkable phenomena including the emergence of dynamic patterns across different length scales, from animal groups to vibrated grains, microtubules, bacteria, and chemicalor f ...

National Academy of Sciences2018

Model-based reinforcement learning and navigation in animals and machines

Dane Sterling Corneil

For decades, neuroscientists and psychologists have observed that animal performance on spatial navigation tasks suggests an internal learned map of the environment. More recently, map-based (or model-based) reinforcement learning has become a highly activ ...

EPFL2018

Interplay between Narrative and Bodily Self in Access to Consciousness: No Difference between Self- and Non-self Attributes

Olaf Blanke, Andrea Serino, Roy Salomon

The construct of the self is conceived as being fundamental in promoting survival. As such, extensive studies have documented preferential processing of self-relevant stimuli. For example, attributes that relate to the self are better encoded and retrieved ...

Frontiers Media2017

Learning Recruits Neurons Representing Previously Established Associations in the Corvid Endbrain

Galyna Pidpruzhnykova

Crows quickly learn arbitrary associations. As a neuronal correlate of this behavior, single neurons in the corvid endbrain area nidopallium caudolaterale (NCL) change their response properties during association learning. In crows performing a delayed ass ...

Mit Press2017

Inference of perceptual priors from path dynamics of passive self-motion

Olaf Blanke, Danilo Jimenez Rezende

The monitoring of one's own spatial orientation depends on the ability to estimate successive self-motion cues accurately. This process has become to be known as path integration. A feature of sequential cue estimation, in general, is that the history of p ...

Amer Physiological Soc2015

Viability evolutionary algorithms and applications to neuroscience and biology

Andrea Maesani

Evolutionary algorithms are heuristic methods that operate on a population of individuals, which represent candidate solutions to optimization problems. Individuals with better quality, or fitness, are reproduced at a higher rate than less fit individuals ...

EPFL2015