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Maxime Cauchoix

Publications and source records attributed to Maxime Cauchoix.

2 recordsLinked to original sources

How can we study the evolution of animal minds?

AbstractDuring the last 50 years, comparative cognition and neurosciences have improved our understanding of animal minds while evolutionary ecology has revealed how selection acts on traits through evolutionary time. We describe how this evolutionary approach can be used to understand the evolution of animal cognition. We recount how comparative and fitness methods have been used to understand the evolution of cognition and outline how these methods could be extended to gain new insights into cognitive evolution. The fitness approach, in particular, offers unprecedented opportunities to study the evolutionary mechanisms responsible for variation in cognition within species and could allow us to investigate both proximate (ie: neural and developmental) and ultimate (ie: ecological and evolutionary) underpinnings of animal cognition together. Our goal in this review is to build a bridge between cognitive neuroscientist and evolutionary biologists, illustrate how their research could be complementary, and encourage evolutionary ecologists to include explicit attention to cognitive processes in their studies of behaviour. We believe that in doing so, we can break new ground in our understanding of the evolution of cognition as well as gain a much better understanding of animal behaviour.

Animal Behavior and Cognition

Fast ventral stream neural activity enables rapid visual categorization

AO_SCPLOWBSTRACTC_SCPLOWPrimates can recognize objects embedded in complex natural scenes in a glimpse. Rapid categorization paradigms have been extensively used to study our core perceptual abilities when the visual system is forced to operate under strong time constraints. However, the neural underpinning of rapid categorization remains to be understood, and the incredible speed of sight has yet to be reconciled with modern ventral stream cortical theories of shape processing.\n\nHere we recorded multichannel subdural electrocorticogram (ECoG) signals from intermediate areas (V4/PIT) of the ventral stream of the visual cortex while monkeys were actively engaged in detecting the presence or absence of animal targets in natural scenes. Using multivariate pattern analysis (MVPA) techniques, we quantified at millisecond precision task-relevant signals conveyed by ECoG data. Reliable neural decoding was possible shortly after stimulus onset from single trials with a degree of generalization to experimental manipulations closely mimicking monkeys accuracy and reaction time.\n\nTogether, the present study suggests that rapid ventral stream neural activity induces a selective task-relevant signal subsequently used to drive visual categorization.\n\nClassificationBiological sciences / Neuroscience

Neuroscience