Alexandre Payeur

Assistive sensory-motor perturbations influence learned neural representations

The paper shows assistive decoders in BCIs influence neural representations by concentrating task-relevant information in fewer neurons and modes.

Comparing sites of plasticity in models of adaptation to manifold-based perturbations in brain-computer interfaces

The paper investigates how different sites of plasticity affect adaptation to perturbations in brain-computer interfaces using a linear recurrent network.

Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework

The paper uses an augmented integrate-and-fire model to show that the dorsal raphe network encodes both input intensity and its temporal derivative, with the derivative dominating during rapid input increases.

Fast burst fraction transients convey information independent of the firing rate

The paper identifies two distinct neural codes, burst fraction and event rate, that convey stimulus information and error signals during learning, with burst fraction showing stronger modulation and temporal alignment with behavioral accuracy.

Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits

This study shows that burst-dependent synaptic plasticity enables coordination of learning in hierarchical circuits by solving complex tasks through simulations and mathematical analysis.

Burst coding despite unimodal interval distributions

The paper investigates how spike-timing patterns contribute to information transmission despite unimodal interspike interval distributions, finding that burst coding can still be effective even without clear bursts.

Noise Gated by Dendrosomatic Interactions Increases Information Transmission

The paper shows that noise in dendrites can enhance information transmission in neural populations by switching leadership between dendrites and soma based on input strength.