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Joseph J. Paton

Researcher at Champalimaud Foundation

Publications -  33
Citations -  3749

Joseph J. Paton is an academic researcher from Champalimaud Foundation. The author has contributed to research in topics: Population & Time perception. The author has an hindex of 19, co-authored 31 publications receiving 3024 citations. Previous affiliations of Joseph J. Paton include Columbia University & Instituto Gulbenkian de Ciência.

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The primate amygdala represents the positive and negative value of visual stimuli during learning

TL;DR: It is shown that changes in the values of images modulate neural activity, and that this modulation occurs rapidly enough to account for, and correlates with, monkeys' learning.
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Expectation Modulates Neural Responses to Pleasant and Aversive Stimuli in Primate Amygdala

TL;DR: This work examined neural responses in the primate amygdala to unexpected reinforcement during learning and found that different neuronal populations may subserve two sorts of processes mediated by the amygdala: those activated by surprising reinforcements of both valences-such as enhanced arousal and attention-and those that are valence-specific, such as fear or reward-seeking behavior.
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Bonsai: an event-based framework for processing and controlling data streams

TL;DR: Bonsai is described, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams and demonstrated how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience.
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A Scalable Population Code for Time in the Striatum

TL;DR: Recorded striatal neurons in rats found that neurons fired at delays spanning tens of seconds and that this pattern of responding reflected the interaction between time and the animals' ongoing sensorimotor state, suggesting that striatal activity forms a scalable population code for time.
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The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions

TL;DR: Converging evidence supports the notion that, precisely because of its importance across a wide range of brain functions, timing relies on intrinsic and general properties of neurons and neural circuits; that is, the brain uses its natural cellular and network dynamics to solve a diversity of temporal computations.