Bruno B. Averbeck

Consensus across limbic areas predicts motivational disengagement

The paper identifies a neural signal across limbic areas that predicts motivational disengagement independent of reward expectations, suggesting collective computation underlies motivation.

Embodied reinforcement learning in the primate cortico-basal ganglia system

This study shows that value coding in the primate cortico-basal ganglia system varies across motor responses, challenging the idea of motor-system-invariant value signals.

Long-term Learning Induces Plastic Changes in Frontostriatal Circuits

This study shows that long-term learning shifts information processing from the ventral striatum to the orbitofrontal cortex in macaques, challenging traditional theories of reinforcement learning.

Retrograde transduction of dopaminergic cells in substantia nigra of rhesus monkey

This study compares the retrograde transduction efficiency of four viral vectors in dopaminergic neurons of rhesus monkeys after striatal injection.

A synaptic mechanism for encoding the learned value of action-derived safety

The paper identifies a thalamostriatal circuit mechanism by which internally constructed outcomes, like safety, acquire motivational value through synaptic plasticity in mice.

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence

This study develops computational models showing that adolescent brain changes like pruning and myelination create strong attractors for emotionally salient memories, potentially contributing to psychiatric disorders.

Contribution of amygdala to dynamic model arbitration under uncertainty

This study investigates the amygdala's role in dynamic model arbitration under uncertainty by comparing behavior in monkeys with and without amygdala lesions.

Discrete interneuron subsets participate in GluN1/GluN3A excitatory glycine receptor (eGlyR)-mediated regulation of hippocampal network activity throughout development and evolution.

The paper shows that eGlyRs in hippocampal interneurons regulate network activity through developmental and evolutionary conserved mechanisms.

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

The paper investigates how reversal probability is represented in prefrontal cortex neurons and recurrent neural networks during probabilistic reversal learning, finding stable initial states that drive non-stationary dynamics.

A novel, evolutionarily conserved inhibitory circuit selectively regulates dentate gyrus mossy cell function.

The paper identifies a novel inhibitory interneuron subtype in the dentate gyrus that selectively regulates mossy cell function and shows this pattern is evolutionarily conserved across species.

Neuropeptidergic transmission shapes emergent properties of prefrontal cortical circuits underlying learning

This study investigates the role of somatostatin neurotransmission in prefrontal cortical circuits during learning, showing it shapes configural representations and network dynamics related to salient outcomes.

An enhancer-AAV toolbox to target and manipulate distinct interneuron subtypes

The paper identifies enhancer-AAV tools for specific neuronal subtypes and validates them across species.

Ventral frontostriatal circuitry mediates the computation of reinforcement from symbolic gains and losses

This study investigates how ventral frontostriatal circuitry processes symbolic gains and losses in monkeys, identifying the role of the orbitofrontal cortex in coding outcomes and prediction errors.

Computational mechanisms underlying motivation to earn symbolic reinforcers

This study uses a reinforcement learning model to examine how monkeys' motivation to earn symbolic reinforcers is influenced by task state values.

Divergent opioid-mediated suppression of inhibition between hippocampus and neocortex across species and development

The paper shows that opioids suppress inhibition in hippocampal PV-INs but not neocortex across species and development, highlighting conserved and divergent roles in neural circuits.

Attractor dynamics reflect decision confidence in macaque prefrontal cortex

The paper shows that energy landscapes in prefrontal cortex neural activity predict decision consistency, reflecting decision confidence in macaques.

Fast-synaptic axo-axonal transmission from striatal cholinergic interneurons onto dopamine fibers.

The paper demonstrates fast synaptic-like transmission from striatal cholinergic interneurons to dopaminergic axons, showing axonal integration of synaptic input into spiking.

Noradrenergic Regulation of Two-Armed Bandit Performance

This study investigates how noradrenergic system perturbations affect reversal learning by using a block-based reversal design, finding that choice accuracy is independent of win-stay behavior and noradrenergic control influences sensitivity to positive feedback.

A convolutional neural network for estimating synaptic connectivity from spike trains

The paper introduces a convolutional neural network to estimate synaptic connectivity from spike trains without requiring parameter tuning, and applies it to construct neuronal circuit diagrams in monkey cortical areas.

Correlates of auditory decision making in prefrontal, auditory, and basal lateral amygdala cortical areas

This study investigates neural mechanisms of auditory decision making in monkeys, finding that primary auditory cortex encodes task-relevant information before prefrontal and amygdala regions.

Learning to Select Actions Shapes Recurrent Dynamics in the Corticostriatal System

This study develops an RNN model of the dlPFC-dSTR circuit to investigate how learning shapes neural representations and action selection in a sequence learning task.

Dimensionality, information and learning in prefrontal cortex

This study examines how learning affects neural population activity dimensionality and information about choices in the prefrontal cortex using high channel count recordings in monkeys.

A latent variable approach to decoding neural population activity

This paper introduces a decoding framework that leverages low-dimensional latent variables to improve decoding performance in neural population activity.

A comparison of auditory oddball responses in dorsolateral prefrontal cortex, basolateral amygdala and auditory cortex of macaque

The paper compares auditory oddball responses in three brain regions of macaques to better understand the neural basis of the mismatch negativity.

Signature patterns for top-down and bottom-up information processing via cross-frequency coupling in macaque auditory cortex

The paper examines cross-frequency coupling in macaque auditory cortex to identify patterns of top-down and bottom-up information processing, finding distinct frequency interactions for each direction.