Rafael Hernán Polanía

This paper optimizes temporal interference stimulation (TIS) targeting in mice to reduce off-target effects while maintaining efficacy in the prefrontal cortex.

The paper investigates how temporoparietal alpha dynamics influence feedback-based updating during social bargaining using a combination of EEG, fMRI, and TMS.

The paper investigates the neural code for value in the human orbitofrontal cortex and finds that a probabilistic, non-linear population code represents both value and its uncertainty.

This study shows that the left superior frontal sulcus selectively affects perceptual decision-making but not value-based decisions using fMRI, TMS, and computational models.

The paper uses functional connectivity to parcellate the mouse prefrontal cortex and shows that perturbing specific clusters affects only their associated functional networks.

The paper investigates how hypothalamic hypocretin/orexin neurons regulate decision policy complexity through metabolic and neural signaling mechanisms in mice.

The paper identifies a computational mechanism for conflict expectation and adaptation involving theta oscillations in the superior frontal gyrus, supported by cognitive modeling, fMRI, TMS, and EEG.

This study identifies hypothalamic hypocretin/orexin neurons as responsible for prioritizing exercise over temptations in mice.

This study tests if transcranial random noise stimulation (tRNS) applied to the primary visual cortex or retina improves visual contrast detection, finding that V1 stimulation enhances performance while retinal stimulation does not.

The paper shows that individual risk aversion in financial decisions stems from noisy perception of numerical magnitudes rather than subjective valuation.

This study shows mice exhibit rational inattention by adaptively allocating sensory resources to maximize reward consumption while being imprecise for common stimuli.

This study shows that inhibiting the right frontal eye field (FEF) with TMS affects decision-making by altering how gaze dwell time influences choices and reaction times.

This study challenges the common-currency hypothesis by showing distinct neural representations for moral and financial values in specific brain regions.

This study shows that neural codes in early sensory areas prioritize fitness maximization over sensory accuracy, as demonstrated in blowfly retinas and human experiments.

This study develops a framework for understanding decision-making by modeling how humans efficiently sample information and make decisions under noise and limited data.

This study investigates how the timing and weighting of reward attributes influence decision-making using a time-varying drift diffusion model and experimental data.

The paper shows that observing highly-valued actions reduces response time variability and strengthens motor cortex neural representations, independent of attentional engagement.

The paper proposes an information-theoretic model of subjective value coding that explains variability in value reports and preference choices, and predicts a new preference illusion validated with empirical data.

This study uses tACS-fMRI to show that power-synchronized neural activity increases resting state fMRI connectivity, providing causal evidence for the role of power fluctuations in forming RSNs.